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Trajectory prediction of vehicles in city-scale road networks is of great importance to various location-based applications such as vehicle navigation, traffic management, and location-based recommendations.
Learning to predict driver route and destination intent
Reid Simmons, Brett Browning, Yilu Zhang, and Varsha Sadekar · 2006
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Location awareness through trajectory prediction
Xiong Liu and Hassan A Karimi · 2006
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Navigate like a cabbie: Probabilistic reasoning from observed context-aware behavior
Brian D Ziebart, Andrew L Maas, Anind K Dey, and J Andrew Bagnell · 2008
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Map-matching for low-sampling-rate gps trajectories
Yin Lou, Chengyang Zhang, Yu Zheng, Xing Xie, Wei Wang, and Yan Huang · 2009
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T-drive: driving directions based on taxi trajectories
Jing Yuan, Yu Zheng, Chengyang Zhang, Wenlei Xie, Xing Xie, Guangzhong Sun, and Yan Huang · 2010
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Pedestrian-movement prediction based on mixed markov-chain model
Akinori Asahara, Kishiko Maruyama, Akiko Sato, and Kouichi Seto · 2011
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Next place prediction using mobility markov chains
Sébastien Gambs, Marc-Olivier Killijian, and Miguel Núñez del Prado Cortez · 2012
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A “semi-lazy” approach to probabilistic path prediction in dynamic environments
Jingbo Zhou, Anthony KH Tung, Wei Wu, and Wee Siong Ng · 2013
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 2014
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Solving the data sparsity problem in destination prediction
Andy Yuan Xue, Jianzhong Qi, Xing Xie, Rui Zhang, Jin Huang, and Yuan Li · 2015
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Scheduled sampling for sequence prediction with recurrent neural networks
Samy Bengio, Oriol Vinyals, Navdeep Jaitly, and Noam Shazeer · 2015
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Data-driven vehicle trajectory prediction
Philip Pecher, Michael Hunter, and Richard Fujimoto · 2016
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Predicting the next location: A recurrent model with spatial and temporal contexts
Qiang Liu, Shu Wu, Liang Wang, and Tieniu Tan · 2016
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Time-location-relationship combined service recommendation based on taxi trajectory data
Xiangjie Kong, Feng Xia, Jinzhong Wang, Azizur Rahim, and Sajal K Das · 2017
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Generalizable intention prediction of human drivers at intersections
Derek J Phillips, Tim A Wheeler, and Mykel J Kochenderfer · 2017
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Predicting long-term trajectories of connected vehicles via the prefix-projection technique
Shaojie Qiao, Nan Han, Junfeng Wang, Rong-Hua Li, Louis Alberto Gutierrez, and Xindong Wu · 2017
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio · 2017
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Osmnx: New methods for acquiring, constructing, analyzing, and visualizing complex street networks
Geoff Boeing · 2017
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An attention-based spatiotemporal lstm network for next poi recommendation
Liwei Huang, Yutao Ma, Shibo Wang, and Yanbo Liu · 2019
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Trajectory data-based traffic flow studies: A revisit
Li Li, Rui Jiang, Zhengbing He, Xiqun Michael Chen, and Xuesong Zhou · 2020
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Multi-vehicle collaborative learning for trajectory prediction with spatio-temporal tensor fusion
Yu Wang, Shengjie Zhao, Rongqing Zhang, Xiang Cheng, and Liuqing Yang · 2020
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Deep learning-based vehicle behavior prediction for autonomous driving applications: A review
Sajjad Mozaffari, Omar Y Al-Jarrah, Mehrdad Dianati, Paul Jennings, and Alexandros Mouzakitis · 2020
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Destination prediction based on partial trajectory data
Patrick Ebel, Ibrahim Emre Göl, Christoph Lingenfelder, and Andreas Vogelsang · 2020
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Sequence-to-sequence prediction of vehicle trajectory via lstm encoder-decoder architecture
Seong Hyeon Park, ByeongDo Kim, Chang Mook Kang, Chung Choo Chung, and Jun Won Choi · 2018
Cited alongside, same era.
Inferring driving trajectories based on probabilistic model from large scale taxi gps data
Jinjun Tang, Jian Liang, Shen Zhang, Helai Huang, and Fang Liu · 2018
Cited alongside, same era.
Individual mobility prediction using transit smart card data
Zhan Zhao, Haris N. Koutsopoulos, and Jinhua Zhao · 2018
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Personalized top-n sequential recommendation via convolutional sequence embedding
Jiaxi Tang and Ke Wang · 2018
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Self-attentive sequential recommendation
Wang-Cheng Kang and Julian McAuley · 2018
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T-conv: A convolutional neural network for multi-scale taxi trajectory prediction
Jianming Lv, Qing Li, Qinghui Sun, and Xintong Wang · 2018
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Fast map matching, an algorithm integrating hidden markov model with precomputation
Can Yang and Gyozo Gidofalvi · 2018
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Senzhang Wang, Jiannong Cao, and Philip Yu · 2020
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A hierarchical temporal attention-based lstm encoder-decoder model for individual mobility prediction
Fa Li, Zhipeng Gui, Zhaoyu Zhang, Dehua Peng, Siyu Tian, Kunxiaojia Yuan, Yunzeng Sun, Huayi Wu, Jianya Gong, and Yichen Lei · 2020
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Cem: A convolutional embedding model for predicting next locations
Meng Chen, Yixuan Zuo, Xiaoyi Jia, Yang Liu, Xiaohui Yu, and Kai Zheng · 2020
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Geography-aware sequential location recommendation
Defu Lian, Yongji Wu, Yong Ge, Xing Xie, and Enhong Chen · 2020
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Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting
Hao Peng, Hongfei Wang, Bowen Du, Md Zakirul Alam Bhuiyan, Hongyuan Ma, Jianwei Liu, Lihong Wang, Zeyu Yang, Linfeng Du, Senzhang Wang, et al · 2020
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Individual mobility prediction: An interpretable activity-based hidden markov approach
Baichuan Mo, Zhan Zhao, Haris N. Koutsopoulos, and Jinhua Zhao · 2021
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Deep learning methods for vessel trajectory prediction based on recurrent neural networks
Samuele Capobianco, Leonardo M Millefiori, Nicola Forti, Paolo Braca, and Peter Willett · 2021
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Stan: Spatio-temporal attention network for next location recommendation
Yingtao Luo, Qiang Liu, and Zhaocheng Liu · 2021
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Dynamic graph convolutional network for long-term traffic flow prediction with reinforcement learning
Hao Peng, Bowen Du, Mingsheng Liu, Mingzhe Liu, Shumei Ji, Senzhang Wang, Xu Zhang, and Lifang He · 2021
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