Fetching the paper…
Reading the bibliography…
The integration of generative artificial intelligence (GenAI) into transportation planning has the potential to revolutionize tasks such as demand forecasting, infrastructure design, policy evaluation, and traffic simulation.
Urban transportation planning: A decision-oriented approach
Michael D Meyer and Eric J Miller · 2001
Earlier work this paper cites.
Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu · 2002
Earlier work this paper cites.
Performance-based planning and asset management
Lance A Neumann and Michael J Markow · 2004
Earlier work this paper cites.
Summary of travel trends: 2001 national household travel survey
Patricia S Hu, Timothy Reuscher, et al · 2004
Earlier work this paper cites.
Addressing sustainability in transportation systems: definitions, indicators, and metrics
Christy Mihyeon Jeon and Adjo Amekudzi · 2005
Earlier work this paper cites.
The sustainable mobility paradigm
David Banister · 2008
Earlier work this paper cites.
Activitysim: large-scale agent based activity generation for infrastructure simulation
Emmanuel Gali, Stephan Eidenbenz, Sue Mniszewski, Leticia Cuellar, and Christof Teuscher · 2008
Earlier work this paper cites.
A problem-structuring model for analyzing transportation–environment relationships
Füsun Ülengin, Özgür Kabak, Şule Önsel, Burç Ülengin, and Emel Aktaş · 2010
Earlier work this paper cites.
The role of vmt reduction in meeting climate change policy goals
Adrian T Moore, Samuel R Staley, and Robert W Poole Jr · 2010
Earlier work this paper cites.
OpenStreetMap
Jonathan Bennett · 2010
Earlier work this paper cites.
Visualisation of origins, destinations and flows with od maps
Jo Wood, Jason Dykes, and Aidan Slingsby · 2010
Earlier work this paper cites.
Summary of travel trends: 2009 national household travel survey
Adella Santos, Nancy McGuckin, Hikari Yukiko Nakamoto, Danielle Gray, Susan Liss, et al · 2011
Earlier work this paper cites.
Sumo–simulation of urban mobility: an overview
Michael Behrisch, Laura Bieker, Jakob Erdmann, and Daniel Krajzewicz · 2011
Earlier work this paper cites.
Network planning and infrastructure design
John Parkin and Glen Koorey · 2012
Earlier work this paper cites.
A comparative study of vehicles’ routing algorithms for route planning in smart cities
Vi Tran Ngoc Nha, Soufiene Djahel, and John Murphy · 2012
Earlier work this paper cites.
Recent development and applications of sumo-simulation of urban mobility
Daniel Krajzewicz, Jakob Erdmann, Michael Behrisch, and Laura Bieker · 2012
Earlier work this paper cites.
Travel through time: the story of research on travel time reliability
Michael AP Taylor · 2013
Earlier work this paper cites.
Auto-encoding variational bayes
Diederik P Kingma · 2013
Earlier work this paper cites.
Leveraging the general transit feed specification for efficient transit analysis
James Wong · 2013
Earlier work this paper cites.
Public engagement in strategic transportation planning: An analytic hierarchy process based approach
Stefano De Luca · 2014
Earlier work this paper cites.
Short-term traffic forecasting: Where we are and where we’re going
Eleni I Vlahogianni, Matthew G Karlaftis, and John C Golias · 2014
Earlier work this paper cites.
Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
Earlier work this paper cites.
Dtalite: A queue-based mesoscopic traffic simulator for fast model evaluation and calibration, 2014
Xuesong Zhou and Jeffrey Taylor · 2014
Earlier work this paper cites.
Traffic management: An outlook
Alex A Kurzhanskiy and Pravin Varaiya · 2015
Earlier work this paper cites.
Development of the regional freight transportation demand prediction models based on the regression analysis methods
Yandong Yang · 2015
Earlier work this paper cites.
Activity-based travel demand models: A primer
National Academies of Sciences, Engineering, and Medicine et al · 2015
Earlier work this paper cites.
Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets
Yuxiong Ji, Rabi G Mishalani, and Mark R McCord · 2015
Earlier work this paper cites.
Key performance indicators for measuring the impacts of its on transport
Boban Djordjevic and Evelin Krmac · 2016
Earlier work this paper cites.
A unified framework for vehicle rerouting and traffic light control to reduce traffic congestion
Zhiguang Cao, Siwei Jiang, Jie Zhang, and Hongliang Guo · 2016
Earlier work this paper cites.
Wasserstein generative adversarial networks
Martin Arjovsky, Soumith Chintala, and Léon Bottou · 2017
Earlier work this paper cites.
Annotation of car trajectories based on driving patterns
Sobhan Moosavi, Behrooz Omidvar-Tehrani, R Bruce Craig, and Rajiv Ramnath · 2017
Earlier work this paper cites.
Integrating land use and socioeconomic factors into scenario-based travel demand and carbon emission impact study
Heng Wei, Ting Zuo, Hao Liu, and Y Jeffrey Yang · 2017
Earlier work this paper cites.
The ctpp workplace data for transportation planning: A systematic review
Jung Seo, Tom Vo, Shinhee Lee, Frank Wen, Simon Choi, JH Seo, T Vo, S Lee, F Wen, and S Choi · 2017
Earlier work this paper cites.
Data synthesis and perturbation for the american community survey at the us census bureau
Michael Freiman, Amy Lauger, and Jerome Reiter · 2017
Earlier work this paper cites.
Remote sensing image scene classification: Benchmark and state of the art
Gong Cheng, Junwei Han, and Xiaoqiang Lu · 2017
Earlier work this paper cites.
Zhiyong Cui, Ruimin Ke, Ziyuan Pu, and Yinhai Wang · 2018
Earlier work this paper cites.
Intellilight: A reinforcement learning approach for intelligent traffic light control
Hua Wei, Guanjie Zheng, Huaxiu Yao, and Zhenhui Li · 2018
Earlier work this paper cites.
Integrating kpis for improving efficiency in road transport
Jesús García-Arca, J Carlos Prado-Prado, and Arturo J Fernández-González · 2018
Earlier work this paper cites.
Gain: Missing data imputation using generative adversarial nets
Jinsung Yoon, James Jordon, and Mihaela Schaar · 2018
Earlier work this paper cites.
When will you arrive? estimating travel time based on deep neural networks
Dong Wang, Junbo Zhang, Wei Cao, Jian Li, and Yu Zheng · 2018
Earlier work this paper cites.
Improving freeway operation with ramp metering control using connected vehicles as “floating sensors”
Heng Wei, Hao Liu, Karteek Kumar Allam, Ting Zuo, and Zhixia Li · 2018
Earlier work this paper cites.
Sustainable station-level planning: An integrated transport and land use design model for transit-oriented development
Xiaolei Ma, Xi Chen, Xiaopeng Li, Chuan Ding, and Yinhai Wang · 2018
Earlier work this paper cites.
Auto: Scaling deep reinforcement learning for datacenter-scale automatic traffic optimization
Li Chen, Justinas Lingys, Kai Chen, and Feng Liu · 2018
Earlier work this paper cites.
Summary of travel trends: 2017 national household travel survey
Nancy McGuckin, Anthony Fucci, et al · 2018
Earlier work this paper cites.
Do different datasets tell the same story about urban mobility—a comparative study of public transit and taxi usage
Xiaohu Zhang, Yang Xu, Wei Tu, and Carlo Ratti · 2018
Earlier work this paper cites.
Environmental data science
Karina Gibert, Jeffery S Horsburgh, Ioannis N Athanasiadis, and Geoff Holmes · 2018
Earlier work this paper cites.
Analysis of microgrid locations benefitting community resilience for puerto rico
Robert Fredric Jeffers, Michael J Baca, Amanda Wachtel, Sean DeRosa, Andrea Staid, William Ernest Fogleman, Alexander V Outkin, and Frank M Currie · 2018
Earlier work this paper cites.
How residential compactness and attractiveness can be shaped by environmental amenities in an industrial city?
Biswajit Mondal and Dipendra Nath Das · 2018
Earlier work this paper cites.
Benchmarks for reinforcement learning in mixed-autonomy traffic
Eugene Vinitsky, Aboudy Kreidieh, Luc Le Flem, Nishant Kheterpal, Kathy Jang, Cathy Wu, Fangyu Wu, Richard Liaw, Eric Liang, and Alexandre M Bayen · 2018
Earlier work this paper cites.
Microscopic traffic simulation using sumo
Pablo Alvarez Lopez, Michael Behrisch, Laura Bieker-Walz, Jakob Erdmann, Yun-Pang Flötteröd, Robert Hilbrich, Leonhard Lücken, Johannes Rummel, Peter Wagner, and Evamarie Wießner · 2018
Earlier work this paper cites.
Metrics for the sustainable development goals: renewable energy and transportation
Jonathan J Buonocore, Ernani Choma, Aleyda H Villavicencio, John D Spengler, Dinah A Koehler, John S Evans, Jos Lelieveld, Piet Klop, and Ramon Sanchez-Pina · 2019
Earlier work this paper cites.
Optimal transport network design for both traffic safety and risk equity considerations
Hong-Zhi Lin and Jie Wei · 2019
Earlier work this paper cites.
Colight: Learning network-level cooperation for traffic signal control
Hua Wei, Nan Xu, Huichu Zhang, Guanjie Zheng, Xinshi Zang, Chacha Chen, Weinan Zhang, Yanmin Zhu, Kai Xu, and Zhenhui Li · 2019
Earlier work this paper cites.
Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification
Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, and Jenq-Neng Hwang · 2019
Earlier work this paper cites.
Universal adversarial triggers for attacking and analyzing nlp
Eric Wallace, Shi Feng, Nikhil Kandpal, Matt Gardner, and Sameer Singh · 2019
Earlier work this paper cites.
Test your self-driving algorithm: An overview of publicly available driving datasets and virtual testing environments
Yue Kang, Hang Yin, and Christian Berger · 2019
Earlier work this paper cites.
Graph wavenet for deep spatial-temporal graph modeling
Zonghan Wu, Shirui Pan, Guodong Long, Jing Jiang, and Chengqi Zhang · 2019
Earlier work this paper cites.
Big data in public transportation: a review of sources and methods
Timothy F Welch and Alyas Widita · 2019
Earlier work this paper cites.
Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario
Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, and Zhenhui Li · 2019
Earlier work this paper cites.
Passenger demand forecasting in scheduled transportation
Nilabhra Banerjee, Alec Morton, and Kerem Akartunalı · 2020
Earlier work this paper cites.
Spatiotemporal scenario generation of traffic flow based on lstm-gan
Chao Wu, Lei Chen, Guibin Wang, Songjian Chai, Hui Jiang, Jianchun Peng, and Zhouzhenyan Hong · 2020
Earlier work this paper cites.
Modeling and urban planning: A systematic review of performance-based approaches
Raffaele Pelorosso · 2020
Earlier work this paper cites.
Gman: A graph multi-attention network for traffic prediction
Chuanpan Zheng, Xiaoliang Fan, Cheng Wang, and Jianzhong Qi · 2020
Earlier work this paper cites.
Denoising diffusion probabilistic models
Jonathan Ho, Ajay Jain, and Pieter Abbeel · 2020
Earlier work this paper cites.
Spatio-temporal meta learning for urban traffic prediction
Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, and Yu Zheng · 2020
Earlier work this paper cites.
Spatial consumption-based carbon footprint assessments-a review of recent developments in the field
Jukka Heinonen, Juudit Ottelin, Sanna Ala-Mantila, Thomas Wiedmann, Jack Clarke, and Seppo Junnila · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive nlp tasks
Patrick Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, et al · 2020
Earlier work this paper cites.
Guidelines for using streetlight data for planning tasks
Hong Yang, Mecit Cetin, Qingyu Ma, et al · 2020
Earlier work this paper cites.
Scalability in perception for autonomous driving: Waymo open dataset
Pei Sun, Henrik Kretzschmar, Xerxes Dotiwalla, Aurelien Chouard, Vijaysai Patnaik, Paul Tsui, James Guo, Yin Zhou, Yuning Chai, Benjamin Caine, et al · 2020
Earlier work this paper cites.
Multi-range attentive bicomponent graph convolutional network for traffic forecasting
Weiqi Chen, Ling Chen, Yu Xie, Wei Cao, Yusong Gao, and Xiaojie Feng · 2020
Earlier work this paper cites.
Tlc trip record data, 2020
New York City Taxi and Limousine Commission · 2020
Earlier work this paper cites.
Access to mass rapid transit in oecd urban areas
Vincent Verbavatz and Marc Barthelemy · 2020
Earlier work this paper cites.
Pymoo: Multi-objective optimization in python
Julian Blank and Kalyanmoy Deb · 2020
Earlier work this paper cites.
Introduction to transportation planning
Michael J Bruton · 2021
Earlier work this paper cites.
A reference framework for the performance-based decision support of city authorities in urban freight transport
Thomas Otte and Tobias Meisen · 2021
Earlier work this paper cites.
Evaluating transport equity
Bert van Wee and Niek Mouter · 2021
Earlier work this paper cites.
A review of traffic congestion prediction using artificial intelligence
Mahmuda Akhtar and Sara Moridpour · 2021
Earlier work this paper cites.
Reinforced imitative graph representation learning for mobile user profiling: An adversarial training perspective
Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E Hughes, and Yanjie Fu · 2021
Earlier work this paper cites.
Exploring the generalizability of spatio-temporal traffic prediction: Meta-modeling and an analytic framework
Leye Wang, Di Chai, Xuanzhe Liu, Liyue Chen, and Kai Chen · 2021
Earlier work this paper cites.
Traffic flow forecasting with spatial-temporal graph diffusion network
Xiyue Zhang, Chao Huang, Yong Xu, Lianghao Xia, Peng Dai, Liefeng Bo, Junbo Zhang, and Yu Zheng · 2021
Earlier work this paper cites.
Bim-gis-dces enabled vulnerability assessment of interdependent infrastructures–a case of stormwater drainage-building-road transport nexus in urban flooding
Yifan Yang, S Thomas Ng, Jicao Dao, Shenghua Zhou, Frank J Xu, Xin Xu, and Zhipeng Zhou · 2021
Earlier work this paper cites.
Deep human-guided conditional variational generative modeling for automated urban planning
Dongjie Wang, Kunpeng Liu, Pauline Johnson, Leilei Sun, Bowen Du, and Yanjie Fu · 2021
Earlier work this paper cites.
Simulation, optimization, and machine learning in sustainable transportation systems: models and applications
Rocio de la Torre, Canan G Corlu, Javier Faulin, Bhakti S Onggo, and Angel A Juan · 2021
Earlier work this paper cites.
Extracting training data from large language models
Nicholas Carlini, Florian Tramèr, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Úlfar Erlingsson, Alina Oprea, and Colin Raffel · 2021
Earlier work this paper cites.
Explaining anomalies detected by autoencoders using shapley additive explanations
Liat Antwarg, Ronnie Mindlin Miller, Bracha Shapira, and Lior Rokach · 2021
Earlier work this paper cites.
From twitter to traffic predictor: Next-day morning traffic prediction using social media data
Weiran Yao and Sean Qian · 2021
Earlier work this paper cites.
Network-level safety metrics for overall traffic safety assessment: A case study
Xiwen Chen, Hao Wang, Abolfazl Razi, Brendan Russo, Jason Pacheco, John Roberts, Jeffrey Wishart, Larry Head, and Alonso Granados Baca · 2022
Earlier work this paper cites.
Crowdgail: A spatiotemporal aware method for agent navigation
Longchao Da and Hua Wei · 2022
Earlier work this paper cites.
Optimization in multimodal freight transportation problems: A survey
Claudia Archetti, Lorenzo Peirano, and M Grazia Speranza · 2022
Earlier work this paper cites.
Meng-Ju Tsai, Zhiyong Cui, Hao Yang, Cole Kopca, Sophie Tien, and Yinhai Wang · 2022
Earlier work this paper cites.
Large-scale multimodal transportation network models and algorithms-part ii: Network capacity and network design problem
Yu Wang, Haoxiang Liu, Yinchao Fan, Jianxun Ding, and Jiancheng Long · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, and Denny Zhou · 2022
Earlier work this paper cites.
Self-consistency improves chain of thought reasoning in language models
Xuezhi Wang, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou · 2022
Earlier work this paper cites.
Census bureau (us)
Stephen D Simon · 2022
Earlier work this paper cites.
A dataset of images of public streetlights with operational monitoring using computer vision techniques
Ioannis Mavromatis, Aleksandar Stanoev, Pietro Carnelli, Yichao Jin, Mahesh Sooriyabandara, and Aftab Khan · 2022
Earlier work this paper cites.
The exid dataset: A real-world trajectory dataset of highly interactive highway scenarios in germany
Tobias Moers, Lennart Vater, Robert Krajewski, Julian Bock, Adrian Zlocki, and Lutz Eckstein · 2022
Earlier work this paper cites.
Torchgeo: deep learning with geospatial data
Adam J Stewart, Caleb Robinson, Isaac A Corley, Anthony Ortiz, Juan M Lavista Ferres, and Arindam Banerjee · 2022
Earlier work this paper cites.
Traffic dataset and dynamic routing algorithm in traffic simulation
Zhemin Zhang, Gennaro De Luca, Brian Archambault, Juan Chavez, and Brandon Rice · 2022
Earlier work this paper cites.
Particle swarm optimization and rbf neural networks for public transport arrival time prediction using gtfs data
Eva Chondrodima, Harris Georgiou, Nikos Pelekis, and Yannis Theodoridis · 2022
Earlier work this paper cites.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa · 2022
Cited alongside, same era.
The shaky foundations of large language models and foundation models for electronic health records
Michael Wornow, Yizhe Xu, Rahul Thapa, Birju Patel, Ethan Steinberg, Scott Fleming, Michael A Pfeffer, Jason Fries, and Nigam H Shah · 2023
Cited alongside, same era.
Finbert: A large language model for extracting information from financial text
Allen H Huang, Hui Wang, and Yi Yang · 2023
Cited alongside, same era.
Bloomberggpt: A large language model for finance
Shijie Wu, Ozan Irsoy, Steven Lu, Vadim Dabravolski, Mark Dredze, Sebastian Gehrmann, Prabhanjan Kambadur, David Rosenberg, and Gideon Mann · 2023
Cited alongside, same era.
Chatgpt for good? on opportunities and challenges of large language models for education
Enkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, Maria Bannert, Daryna Dementieva, Frank Fischer, Urs Gasser, Georg Groh, Stephan Günnemann, Eyke Hüllermeier, et al · 2023
Image generative ai to design public spaces: a reflection of how ai could improve co-design of public parks
Jose A Guridi, Cristobal Cheyre, Maria Goula, Duarte Santo, Lee Humphreys, Aishwarya Shankar, and Achilleas Souras · 2024
Later among the works it cites.
Generative ai applications in architecture, engineering, and construction: Trends, implications for practice, education & imperatives for upskilling—a review
Damilola Onatayo, Adetayo Onososen, Abiola Oluwasogo Oyediran, Hafiz Oyediran, Victor Arowoiya, and Eniola Onatayo · 2024
Later among the works it cites.
Generative ai for customized public policy in maritime transport
Rupesh Kumar and Chhote Lal Yadav · 2024
Later among the works it cites.
Enhancing resilience through generative artificial intelligence such as chatgpt
Mallikarjuna Paramesha, Nitin Rane, and Jayesh Rane · 2024
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al · 2023
Cited alongside, same era.
Generating time-series data using generative adversarial networks for mobility demand prediction
Subhajit Chatterjee and Yung-Cheol Byun · 2023
Cited alongside, same era.
Language-guided traffic simulation via scene-level diffusion
Ziyuan Zhong, Davis Rempe, Yuxiao Chen, Boris Ivanovic, Yulong Cao, Danfei Xu, Marco Pavone, and Baishakhi Ray · 2023
Cited alongside, same era.
Inducing political bias allows language models anticipate partisan reactions to controversies
Zihao He, Siyi Guo, Ashwin Rao, and Kristina Lerman · 2023
Cited alongside, same era.
Llm lies: Hallucinations are not bugs, but features as adversarial examples
Jia-Yu Yao, Kun-Peng Ning, Zhen-Hui Liu, Mu-Nan Ning, Yu-Yang Liu, and Li Yuan · 2023
Cited alongside, same era.
Comparing transportation metrics to measure accessibility to community amenities
Motahareh Abrishami and Brent Chamberlain · 2023
Cited alongside, same era.
The role of multimodal transportation in ensuring sustainable territorial development: Review of risks and prospects
Irina Makarova, Azhar Serikkaliyeva, Larysa Gubacheva, Eduard Mukhametdinov, Polina Buyvol, Aleksandr Barinov, Vladimir Shepelev, and Gulnaz Mavlyautdinova · 2023
Cited alongside, same era.
Artur Grigorev, Adriana-Simona Mihaita Khaled Saleh, and Yuming Ou · 2024
Later among the works it cites.
Contingency scenario planning using generative ai
Daniel J Finkenstadt, Jake Sotiriadis, Peter Guinto, and Tojin Eapen · 2024
Later among the works it cites.
Beyond words: Evaluating large language models in transport planning
Shaowei Ying · 2024
Later among the works it cites.
Smart Cities: Lock-in, Path-dependence and Non-linearity of Digitalization and Smartification
Anna Visvizi and Hanna Godlewska-Majkowska · 2024
Later among the works it cites.
Generating out-of-distribution scenarios using language models
Erfan Aasi, Phat Nguyen, Shiva Sreeram, Guy Rosman, Sertac Karaman, and Daniela Rus · 2024
Later among the works it cites.
Ai for extreme event modeling and understanding: Methodologies and challenges
Gustau Camps-Valls, Miguel-Ángel Fernández-Torres, Kai-Hendrik Cohrs, Adrian Höhl, Andrea Castelletti, Aytac Pacal, Claire Robin, Francesco Martinuzzi, Ioannis Papoutsis, Ioannis Prapas, et al · 2024
Later among the works it cites.
Climategpt: Towards ai synthesizing interdisciplinary research on climate change
David Thulke, Yingbo Gao, Petrus Pelser, Rein Brune, Rricha Jalota, Floris Fok, Michael Ramos, Ian van Wyk, Abdallah Nasir, Hayden Goldstein, et al · 2024
Later among the works it cites.
Trafficgpt: Viewing, processing and interacting with traffic foundation models
Siyao Zhang, Daocheng Fu, Wenzhe Liang, Zhao Zhang, Bin Yu, Pinlong Cai, and Baozhen Yao · 2024
Later among the works it cites.
Large language model as attributed training data generator: A tale of diversity and bias
Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J Ratner, Ranjay Krishna, Jiaming Shen, and Chao Zhang · 2024
Later among the works it cites.
Limp: Large language model enhanced intent-aware mobility prediction
Songwei Li, Jie Feng, Jiawei Chi, Xinyuan Hu, Xiaomeng Zhao, and Fengli Xu · 2024
Later among the works it cites.
The role of llms in sustainable smart cities: Applications, challenges, and future directions
Amin Ullah, Guilin Qi, Saddam Hussain, Irfan Ullah, and Zafar Ali · 2024
Later among the works it cites.
The crossroads of llm and traffic control: A study on large language models in adaptive traffic signal control
Mohammad Movahedi and Juyeong Choi · 2024
Later among the works it cites.
Large language model-driven urban traffic signal control
Yiqing Tang, Xingyuan Dai, Chen Zhao, Qi Cheng, and Yisheng Lv · 2024
Later among the works it cites.
Comal: Collaborative multi-agent large language models for mixed-autonomy traffic
Huaiyuan Yao, Longchao Da, Vishnu Nandam, Justin Turnau, Zhiwei Liu, Linsey Pang, and Hua Wei · 2024
Later among the works it cites.
Prompt to transfer: Sim-to-real transfer for traffic signal control with prompt learning
Longchao Da, Minquan Gao, Hao Mei, and Hua Wei · 2024
Later among the works it cites.
Towards next-generation urban decision support systems through ai-powered construction of scientific ontology using large language models—a case in optimizing intermodal freight transportation
Jose Tupayachi, Haowen Xu, Olufemi A Omitaomu, Mustafa Can Camur, Aliza Sharmin, and Xueping Li · 2024
Later among the works it cites.
Car-following models: A multidisciplinary review
Tianya Terry Zhang, Peter J Jin, Sean T McQuade, Alexandre Bayen, and Benedetto Piccoli · 2024
Later among the works it cites.
The role of generative artificial intelligence in internet of electric vehicles
Hanwen Zhang, Dusit Niyato, Wei Zhang, Changyuan Zhao, Hongyang Du, Abbas Jamalipour, Sumei Sun, and Yiyang Pei · 2024
Later among the works it cites.
Generative ai (genai) and smart cities: Efficiency, cohesion, and sustainability
Marco Moreno-Ibarra, Magdalena Saldaña-Perez, Samuel Pérez Rodríguez, and Emmanuel Juárez Carbajal · 2024
Later among the works it cites.
A unified dataset for the city-scale traffic assignment model in 20 us cities
Xiaotong Xu, Zhenjie Zheng, Zijian Hu, Kairui Feng, and Wei Ma · 2024
Later among the works it cites.
An efficient semi-automated scheme for infrastructure lidar annotation
Aotian Wu, Pan He, Xiao Li, Ke Chen, Sanjay Ranka, and Anand Rangarajan · 2024
Later among the works it cites.
Openannotate2: Multi-modal auto-annotating for autonomous driving
Yijie Zhou, Likun Cai, Xianhui Cheng, Qiming Zhang, Xiangyang Xue, Wenchao Ding, and Jian Pu · 2024
Later among the works it cites.
Autolabel: Automated textual data annotation method based on active learning and large language model
Xuran Ming, Shoubin Li, Mingyang Li, Lvlong He, and Qing Wang · 2024
Later among the works it cites.
Hands-on tutorial: Labeling with llm and human-in-the-loop
Ekaterina Artemova, Akim Tsvigun, Dominik Schlechtweg, Natalia Fedorova, Sergei Tilga, and Boris Obmoroshev · 2024
Later among the works it cites.
What can llm tell us about cities?
Zhuoheng Li, Yaochen Wang, Zhixue Song, Yuqi Huang, Rui Bao, Guanjie Zheng, and Zhenhui Jessie Li · 2024
Later among the works it cites.
Richelieu: Self-evolving llm-based agents for ai diplomacy
Zhenyu Guan, Xiangyu Kong, Fangwei Zhong, and Yizhou Wang · 2024
Later among the works it cites.
Evaluating quality of answers for retrieval-augmented generation: A strong llm is all you need
Yang Wang, Alberto Garcia Hernandez, Roman Kyslyi, and Nicholas Kersting · 2024
Later among the works it cites.
Vistarag: Toward safe and trustworthy autonomous driving through retrieval-augmented generation
Xingyuan Dai, Chao Guo, Yun Tang, Haichuan Li, Yutong Wang, Jun Huang, Yonglin Tian, Xin Xia, Yisheng Lv, and Fei-Yue Wang · 2024
Later among the works it cites.
Evidencechat: A rag enhanced llm framework for trustworthy and evidential response generation
Longchao Da, Parth Mitesh Shah, Ananya Singh, and Hua Wei · 2024
Later among the works it cites.
Graph-rag: Structured retrieval-augmented generation with graph representations
Microsoft Research · 2024
Later among the works it cites.
Challenges and responses in the practice of large language models
Hongyin Zhu · 2024
Later among the works it cites.
Visionllm: Large language model is also an open-ended decoder for vision-centric tasks
Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, et al · 2024
Later among the works it cites.
Generative ai for rf sensing in iot systems
Li Wang, Chao Zhang, Qiyang Zhao, Hang Zou, Samson Lasaulce, Giuseppe Valenzise, Zhuo He, and Merouane Debbah · 2024
Later among the works it cites.
Genai-driven cyberattack detection in v2x networks for enhanced road safety and autonomous vehicle defense
Yuan Sun and Jorge Ortiz · 2024
Later among the works it cites.
Large language model for participatory urban planning
Zhilun Zhou, Yuming Lin, Depeng Jin, and Yong Li · 2024
Later among the works it cites.
Enriching building function classification using large language model embeddings of openstreetmap tags
Abdulkadir Memduhoğlu, Nir Fulman, and Alexander Zipf · 2024
Later among the works it cites.
Citybench: Evaluating the capabilities of large language model as world model
Jie Feng, Jun Zhang, Junbo Yan, Xin Zhang, Tianjian Ouyang, Tianhui Liu, Yuwei Du, Siqi Guo, and Yong Li · 2024
Later among the works it cites.
Saipraneeth Devunuri and Lewis Lehe · 2024
Later among the works it cites.
Deep learning for trajectory data management and mining: A survey and beyond
Wei Chen, Yuxuan Liang, Yuanshao Zhu, Yanchuan Chang, Kang Luo, Haomin Wen, Lei Li, Yanwei Yu, Qingsong Wen, Chao Chen, et al · 2024
Later among the works it cites.
Zili Zhang, Yinmin Zhong, Ranchen Ming, Hanpeng Hu, Jianjian Sun, Zheng Ge, Yibo Zhu, and Xin Jin · 2024
Later among the works it cites.
Do large language models have compositional ability? an investigation into limitations and scalability
Zhuoyan Xu, Zhenmei Shi, and Yingyu Liang · 2024
Later among the works it cites.
A new era in llm security: Exploring security concerns in real-world llm-based systems
Fangzhou Wu, Ning Zhang, Somesh Jha, Patrick McDaniel, and Chaowei Xiao · 2024
Later among the works it cites.
Menglin Liu and Ge Shi · 2024
Later among the works it cites.
Llama meets EU: Investigating the European political spectrum through the lens of LLMs
Ilias Chalkidis and Stephanie Brandl · 2024
Later among the works it cites.
Advancing transportation modeling with large language models: A case study in the swedish context, 2024
TRISHA CHANDER CHANDRASEKAR · 2024
Later among the works it cites.
Large language models as urban residents: An llm agent framework for personal mobility generation
Jiawei Wang, Renhe Jiang, Chuang Yang, Zengqing Wu, Makoto Onizuka, Ryosuke Shibasaki, Noboru Koshizuka, and Chuan Xiao · 2024
Later among the works it cites.
Measuring political bias in large language models: What is said and how it is said
Yejin Bang, Delong Chen, Nayeon Lee, and Pascale Fung · 2024
Later among the works it cites.
Regexplainer: Generating explanations for graph neural networks in regression tasks
Jiaxing Zhang, Zhuomin Chen, Longchao Da, Dongsheng Luo, Hua Wei, et al · 2024
Later among the works it cites.
Longchao Da, Tiejin Chen, Lu Cheng, and Hua Wei · 2024
Later among the works it cites.
Generative ai for unmanned vehicle swarms: Challenges, applications and opportunities
Guangyuan Liu, Nguyen Van Huynh, Hongyang Du, Dinh Thai Hoang, Dusit Niyato, Kun Zhu, Jiawen Kang, Zehui Xiong, Abbas Jamalipour, and Dong In Kim · 2024
Later among the works it cites.
Dual-stage flows-based generative modeling for traceable urban planning
Xuanming Hu, Wei Fan, Dongjie Wang, Pengyang Wang, Yong Li, and Yanjie Fu · 2024
Later among the works it cites.
Mitigating bias in artificial intelligence: Fair data generation via causal models for transparent and explainable decision-making
Rubén González-Sendino, Emilio Serrano, and Javier Bajo · 2024
Later among the works it cites.
Driving safety area classification for automated vehicles based on data augmentation using generative models
Donghoun Lee · 2024
Later among the works it cites.
Panoptic scene graph generation with semantics-prototype learning
Li Li, Wei Ji, Yiming Wu, Mengze Li, You Qin, Lina Wei, and Roger Zimmermann · 2024
Later among the works it cites.
Dpu: Dynamic prototype updating for multimodal out-of-distribution detection, 2024
Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, and Yue Zhao · 2024
Later among the works it cites.
Flexible heteroscedastic count regression with deep double poisson networks
Spencer Young, Porter Jenkins, Lonchao Da, Jeff Dotson, and Hua Wei · 2024
Later among the works it cites.
Rag certainty: Quantifying the certainty of context-based responses by llms
Kento Hasegawa, Seira Hidano, and Kazuhide Fukushima · 2024
Later among the works it cites.
Syntrac: A synthetic dataset for traffic signal control from traffic monitoring cameras
Tiejin Chen, Prithvi Shirke, Bharatesh Chakravarthi, Arpitsinh Vaghela, Longchao Da, Duo Lu, Yezhou Yang, and Hua Wei · 2024
Later among the works it cites.
The netmob2024 dataset: Population density and od matrices from four lmic countries
Wenlan Zhang, Miguel Nunez del Prado, Vincent Gauthier, and Sveta Milusheva · 2024
Later among the works it cites.
Probabilistic offline policy ranking with approximate bayesian computation
Longchao Da, Porter Jenkins, Trevor Schwantes, Jeffrey Dotson, and Hua Wei · 2024
Later among the works it cites.
Next generation simulation (ngsim) open data
U.S. Department of Transportation · 2024
Later among the works it cites.
How does upzoning impact land use and transport: a case study of seattle
Naifu Fan, Kara M Kockelman, Peter Caballero, Jason Hawkins, and Xiaohong Chen · 2024
Later among the works it cites.
What makes a high-quality training dataset for large language models: A practitioners’ perspective
Xiao Yu, Zexian Zhang, Feifei Niu, Xing Hu, Xin Xia, and John Grundy · 2024
Later among the works it cites.
Haocheng Lin · 2024
Later among the works it cites.
The power of llm-generated synthetic data for stance detection in online political discussions
Stefan Sylvius Wagner, Maike Behrendt, Marc Ziegele, and Stefan Harmeling · 2024
Later among the works it cites.
Generative ai-enabled vehicular networks: Fundamentals, framework, and case study
Ruichen Zhang, Ke Xiong, Hongyang Du, Dusit Niyato, Jiawen Kang, Xuemin Shen, and H Vincent Poor · 2024
Later among the works it cites.
Enhancing autonomous system security and resilience with generative ai: A comprehensive survey
Martin Andreoni, Willian T Lunardi, George Lawton, and Shreekant Thakkar · 2024
Later among the works it cites.
Large language models for data annotation and synthesis: A survey
Zhen Tan, Dawei Li, Song Wang, Alimohammad Beigi, Bohan Jiang, Amrita Bhattacharjee, Mansooreh Karami, Jundong Li, Lu Cheng, and Huan Liu · 2024
Later among the works it cites.
Chen Huang, Yang Deng, Wenqiang Lei, Jiancheng Lv, and Ido Dagan · 2024
Later among the works it cites.
Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024
Later among the works it cites.
Novel-wd: Exploring acquisition of novel world knowledge in llms using prefix-tuning
Maxime Méloux and Christophe Cerisara · 2024
Later among the works it cites.
Acco: Accumulate while you communicate, hiding communications in distributed llm training
Adel Nabli, Louis Fournier, Pierre Erbacher, Louis Serrano, Eugene Belilovsky, and Edouard Oyallon · 2024
Later among the works it cites.
Aptq: Attention-aware post-training mixed-precision quantization for large language models
Ziyi Guan, Hantao Huang, Yupeng Su, Hong Huang, Ngai Wong, and Hao Yu · 2024
Later among the works it cites.
What can llm tell us about cities?
Zhuoheng Li, Yaochen Wang, Zhixue Song, Yuqi Huang, Rui Bao, Guanjie Zheng, and Zhenhui Jessie Li · 2024
Later among the works it cites.
Model internals-based answer attribution for trustworthy retrieval-augmented generation
Jirui Qi, Gabriele Sarti, Raquel Fernández, and Arianna Bisazza · 2024
Later among the works it cites.
Junde Wu, Jiayuan Zhu, Yunli Qi, Jingkun Chen, Min Xu, Filippo Menolascina, and Vicente Grau · 2024
Later among the works it cites.
Graph retrieval-augmented generation: A survey
Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, and Siliang Tang · 2024
Later among the works it cites.
Generating chain-of-thoughts with a pairwise-comparison approach to searching for the most promising intermediate thought
Zhen-Yu Zhang, Siwei Han, Huaxiu Yao, Gang Niu, and Masashi Sugiyama · 2024
Later among the works it cites.
Oneedit: A neural-symbolic collaboratively knowledge editing system
Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, et al · 2024
Later among the works it cites.
Scidqa: A deep reading comprehension dataset over scientific papers
Shruti Singh, Nandan Sarkar, and Arman Cohan · 2024
Later among the works it cites.
Privacy-preserving fine-tuning of large language models through flatness
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, and Hua Wei · 2024
Later among the works it cites.
Ziai Zhou, Bin Zhou, and Hao Liu · 2024
Later among the works it cites.
Explainable traffic flow prediction with large language models
Xusen Guo, Qiming Zhang, Mingxing Peng, Meixin Zhua, et al · 2024
Later among the works it cites.
Hallucinations in llms: Understanding and addressing challenges
Gabrijela Perković, Antun Drobnjak, and Ivica Botički · 2024
Later among the works it cites.
Reducing hallucination in structured outputs via retrieval-augmented generation
Patrice Béchard and Orlando Marquez Ayala · 2024
Later among the works it cites.
Deep learning for cross-domain data fusion in urban computing: Taxonomy, advances, and outlook
Xingchen Zou, Yibo Yan, Xixuan Hao, Yuehong Hu, Haomin Wen, Erdong Liu, Junbo Zhang, Yong Li, Tianrui Li, Yu Zheng, et al · 2025
Closest in time.
A survey of sim-to-real methods in rl: Progress, prospects and challenges with foundation models
Longchao Da, Justin Turnau, Thirulogasankar Pranav Kutralingam, Alvaro Velasquez, Paulo Shakarian, and Hua Wei · 2025
Closest in time.
Current trends, opportunities, and futures research directions in geospatial technologies for smart cities
Vijaya Kittu Manda, Veena Christy, and Arbia Hlali · 2025
Closest in time.
Mcqa-eval: Efficient confidence evaluation in nlg with gold-standard correctness labels
Xiaoou Liu, Zhen Lin, Longchao Da, Chacha Chen, Shubhendu Trivedi, and Hua Wei · 2025
Closest in time.
Understanding the uncertainty of llm explanations: A perspective based on reasoning topology
Longchao Da, Xiaoou Liu, Jiaxin Dai, Lu Cheng, Yaqing Wang, and Hua Wei · 2025
Closest in time.
Uncertainty quantification of large language models through multi-dimensional responses
Tiejin Chen, Xiaoou Liu, Longchao Da, Vagelis Papalexakis, and Hua Wei · 2025
Closest in time.
Census Transportation Planning Products (CTPP), 2025
American Association of State Highway and Transportation Officials · 2025
Closest in time.
data.census.gov, 2025
United States Census Bureau · 2025
Closest in time.
Waze for cities
Waze · 2025
Closest in time.