Fetching the paper…
Reading the bibliography…
The advancement of Connected and Automated Vehicles (CAVs) and Vehicle-to-Everything (V2X) offers significant potential for enhancing transportation safety, mobility, and sustainability.
R. Aissaoui, H. Menouar, A. Dhraief, F. Filali, A. Belghith, and A. Abu-Dayya, “Advanced real-time traffic monitoring system based on v2x communications,” in 2014 ieee international conference on communications (icc) . IEEE, 2014, pp. 2713–2718
2014
Earlier work this paper cites.
SAE International, Dedicated Short Range Communications (DSRC) Message Set Dictionary , SAE International Std. J2735_201 603, 2016. [Online]. Available: https://doi.org/10.4271/J2735_201603
2016
Earlier work this paper cites.
J. Auld, V. Sokolov, and T. S. Stephens, “Analysis of the effects of connected–automated vehicle technologies on travel demand,” Transportation Research Record , vol. 2625, no. 1, pp. 1–8, 2017. [Online]. Available: https://doi.org/10.3141/2625-01
2017
Earlier work this paper cites.
B. Ran, Y. Cheng, S. Leight, and S. Parker, “Development of an integrated transportation system of connected automated vehicles and highways,” ITE Journal , vol. 89, no. 11, 2019
2019
Earlier work this paper cites.
Y. Guo, J. Ma, C. Xiong, X. Li, F. Zhou, and W. Hao, “Joint optimization of vehicle trajectories and intersection controllers with connected automated vehicles: Combined dynamic programming and shooting heuristic approach,” Transportation research part C: emerging technologies , vol. 98, pp. 54–72, 2019
2019
Earlier work this paper cites.
Y. Feng, S. Bao, and H. Liu, “Connected and automated vehicle (cav) testing scenario design and implementation using naturalistic driving data and augmented reality,” University of Michigan Transportation Research Institute, Tech. Rep. UMTRI-2023-4, 2019
2019
Earlier work this paper cites.
2019
Earlier work this paper cites.
L. Floridi and M. Chiriatti, “Gpt-3: Its nature, scope, limits, and consequences,” Minds and Machines , vol. 30, pp. 681–694, 2020
2020
Earlier work this paper cites.
A. J. Saroj, S. Roy, A. Guin, and M. Hunter, “Development of a connected corridor real-time data-driven traffic digital twin simulation model,” Journal of Transportation Engineering, Part A: Systems , vol. 147, no. 12, p. 04021096, 2021
2021
Earlier work this paper cites.
V. Maglogiannis, D. Naudts, S. Hadiwardoyo, D. Van Den Akker, J. Marquez-Barja, and I. Moerman, “Experimental v2x evaluation for c-v2x and its-g5 technologies in a real-life highway environment,” IEEE Transactions on Network and Service Management , vol. 19, no. 2, pp. 1521–1538, 2021
2021
Earlier work this paper cites.
C. F. Caruntu, A. V. Militaru, and C. R. Comsa, “Cyber-physical systems-based architecture for signalized traffic corridors: Monitoring and synchronized coordination,” in 2021 23rd International Conference on Control Systems and Computer Science (CSCS) . IEEE, 2021, pp. 314–321
2021
Earlier work this paper cites.
H. Yao and X. Li, “Lane-change-aware connected automated vehicle trajectory optimization at a signalized intersection with multi-lane roads,” Transportation research part C: emerging technologies , vol. 129, p. 103182, 2021
2021
Earlier work this paper cites.
Q. Lu, H. Jung, and K.-D. Kim, “Optimization-based approach for resilient connected and autonomous intersection crossing traffic control under v2x communication,” IEEE Transactions on Intelligent Vehicles , vol. 7, no. 2, pp. 354–367, 2021
2021
Earlier work this paper cites.
L. Zhao, H. Chai, Y. Han, K. Yu, and S. Mumtaz, “A collaborative v2x data correction method for road safety,” IEEE Transactions on Reliability , vol. 71, no. 2, pp. 951–962, 2022
2022
Cited alongside, same era.
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray et al. , “Training language models to follow instructions with human feedback,” Advances in neural information processing systems , vol. 35, pp. 27 730–27 744, 2022
2022
Cited alongside, same era.
Y. Li, D. Ma, Z. An, Z. Wang, Y. Zhong, S. Chen, and C. Feng, “V2x-sim: Multi-agent collaborative perception dataset and benchmark for autonomous driving,” IEEE Robotics and Automation Letters , vol. 7, no. 4, pp. 10 914–10 921, 2022
2022
Cited alongside, same era.
J. Wei, X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, D. Zhou et al. , “Chain-of-thought prompting elicits reasoning in large language models,” Advances in neural information processing systems , vol. 35, pp. 24 824–24 837, 2022
2023
Later among the works it cites.
S. Chowduri, S. Midlam-Mohler, and K. P. Singh, “Design, prototyping, and implementation of a vehicle-to-infrastructure (v2i) system for eco-approach and departure through connected and smart corridors,” SAE Technical Paper, Tech. Rep., 2024
2024
Later among the works it cites.
2024
Later among the works it cites.
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…
2022
Cited alongside, same era.
H. Yu, W. Yang, H. Ruan, Z. Yang, Y. Tang, X. Gao, X. Hao, Y. Shi, Y. Pan, N. Sun et al. , “V2x-seq: A large-scale sequential dataset for vehicle-infrastructure cooperative perception and forecasting,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , 2023, pp. 5486–5495
2023
Cited alongside, same era.
K. Wu, Y. Cheng, S. T. Parker, B. Ran, and D. A. Noyce, “Development of the data pipeline for a connected vehicle corridor,” in International Conference on Transportation and Development 2023 , 2023, pp. 218–230
2023
Cited alongside, same era.
P. Li, K. Wu, Y. Cheng, S. T. Parker, and D. A. Noyce, “How does c-v2x perform in urban environments? results from real-world experiments on urban arterials,” IEEE Transactions on Intelligent Vehicles , 2023
2023
Cited alongside, same era.
R. Chen, S. Sun, Y. Liu, X. Hu, Y. Hui, and N. Cheng, “Proactive effects of c-v2x-based vehicle-infrastructure cooperation on the stability of heterogeneous traffic flow,” IEEE Internet of Things Journal , vol. 11, no. 5, pp. 9184–9197, 2023
2023
Cited alongside, same era.
T. Wágner, T. Ormándi, T. Tettamanti, and I. Varga, “Spat/map v2x communication between traffic light and vehicles and a realization with digital twin,” Computers and Electrical Engineering , vol. 106, p. 108560, 2023
2023
Cited alongside, same era.
J. Zhang, F. Ilievski, K. Ma, A. Kollaa, J. Francis, and A. Oltramari, “A study of situational reasoning for traffic understanding,” in Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , 2023, pp. 3262–3272
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2023
Cited alongside, same era.
2024
Later among the works it cites.
Y. Tang, X. Dai, and Y. Lv, “Large language model-assisted arterial traffic signal control,” IEEE Journal of Radio Frequency Identification , 2024
2024
Later among the works it cites.
M. Movahedi and J. Choi, “The crossroads of llm and traffic control: A study on large language models in adaptive traffic signal control,” IEEE Transactions on Intelligent Transportation Systems , 2024
2024
Later among the works it cites.
2024
Later among the works it cites.
2024
Later among the works it cites.
S. Zhang, D. Fu, W. Liang, Z. Zhang, B. Yu, P. Cai, and B. Yao, “Trafficgpt: Viewing, processing and interacting with traffic foundation models,” Transport Policy , vol. 150, pp. 95–105, 2024
2024
Later among the works it cites.
2024
Later among the works it cites.
D. Mahmud, H. Hajmohamed, S. Almentheri, S. Alqaydi, L. Aldhaheri, R. A. Khalil, and N. Saeed, “Integrating llms with its: Recent advances, potentials, challenges, and future directions,” IEEE Transactions on Intelligent Transportation Systems , 2025
2025
Closest in time.