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The goal of traffic simulation is to augment a potentially limited amount of manually-driven miles that is available for testing and validation, with a much larger amount of simulated synthetic miles.
Divergence measures based on the shannon entropy
Jianhua Lin · 1991
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Congested traffic states in empirical observations and microscopic simulations
Martin Treiber, Ansgar Hennecke, and Dirk Helbing · 2000
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CARLA: An open urban driving simulator
Alexey Dosovitskiy, German Ros, Felipe Codevilla, Antonio Lopez, and Vladlen Koltun · 2017
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A survey of statistical model checking
Gul Agha and Karl Palmskog · 2018
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Recurrent world models facilitate policy evolution
David Ha and Jürgen Schmidhuber · 2018
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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
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Adafactor: Adaptive learning rates with sublinear memory cost
Noam Shazeer and Mitchell Stern · 2018
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Argoverse: 3d tracking and forecasting with rich maps
Ming-Fang Chang, John Lambert, Patsorn Sangkloy, Jagjeet Singh, Slawomir Bak, Andrew Hartnett, De Wang, Peter Carr, Simon Lucey, Deva Ramanan, and James Hays · 2019
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A deep reinforcement learning network for traffic light cycle control
Xiaoyuan Liang, Xunsheng Du, Guiling Wang, and Zhu Han · 2019
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A survey on traffic signal control methods
Hua Wei, Guanjie Zheng, Vikash Gayah, and Zhenhui Li · 2019
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nuScenes: A multimodal dataset for autonomous driving
Holger Caesar, Varun Bankiti, Alex H Lang, Sourabh Vora, Venice Erin Liong, Qiang Xu, Anush Krishnan, Yu Pan, Giancarlo Baldan, and Oscar Beijbom · 2020
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Dream to control: Learning behaviors by latent imagination
Danijar Hafner, Timothy Lillicrap, Jimmy Ba, and Mohammad Norouzi · 2020
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SimNet: Learning reactive self-driving simulations from real-world observations
Luca Bergamini, Yawei Ye, Oliver Scheel, Long Chen, Chih Hu, Luca Del Pero, Błażej Osiński, Hugo Grimmet, and Peter Ondruska · 2021
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A survey of algorithms for black-box safety validation of cyber-physical systems
Anthony Corso, Robert Moss, Mark Koren, Ritchie Lee, and Mykel Kochenderfer · 2021
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Large scale interactive motion forecasting for autonomous driving: The waymo open motion dataset
Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurélien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, and Dragomir Anguelov · 2021
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Mastering atari with discrete world models
Danijar Hafner, Timothy P Lillicrap, Mohammad Norouzi, and Jimmy Ba · 2021
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Trafficsim: Learning to simulate realistic multi-agent behaviors
Simon Suo, Sebastian Regalado, Sergio Casas, and Raquel Urtasun · 2021
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Scenegen: Learning to generate realistic traffic scenes
Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, and Raquel Urtasun · 2021
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Argoverse 2: Next generation datasets for self-driving perception and forecasting
Benjamin Wilson, William Qi, Tanmay Agarwal, John Lambert, Jagjeet Singh, Siddhesh Khandelwal, Bowen Pan, Ratnesh Kumar, Andrew Hartnett, Jhony Kaesemodel Pontes, Deva Ramanan, Peter Carr, and James Hays · 2021
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Metadrive: Composing diverse driving scenarios for generalizable reinforcement learning
Quanyi Li, Zhenghao Peng, Lan Feng, Qihang Zhang, Zhenghai Xue, and Bolei Zhou · 2022
Cited alongside, same era.
Scene transformer: A unified architecture for predicting future trajectories of multiple agents
Jiquan Ngiam, Vijay Vasudevan, Benjamin Caine, Zhengdong Zhang, Hao-Tien Lewis Chiang, Jeffrey Ling, Rebecca Roelofs, Alex Bewley, Chenxi Liu, Ashish Venugopal, David J Weiss, Benjamin Sapp, Zhifeng Chen, and Jonathon Shlens · 2022
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Progressive distillation for fast sampling of diffusion models
Tim Salimans and Jonathan Ho · 2022
Cited alongside, same era.
Block-nerf: Scalable large scene neural view synthesis
Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, and Henrik Kretzschmar · 2022
Cited alongside, same era.
Controllable safety-critical closed-loop traffic simulation via guided diffusion, 2023
Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, and Manmohan Chandraker · 2023
Cited alongside, same era.
Safe-sim: Safety-critical closed-loop traffic simulation with diffusion-controllable adversaries
Wei-Jer Chang, Francesco Pittaluga, Masayoshi Tomizuka, Wei Zhan, and Manmohan Chandraker · 2024
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Sledge: Synthesizing driving environments with generative models and rule-based traffic
Kashyap Chitta, Daniel Dauner, and Andreas Geiger · 2024
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A holistic framework towards vision-based traffic signal control with microscopic simulation
Pan He, Quanyi Li, Xiaoyong Yuan, and Bolei Zhou · 2024
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Versatile scene-consistent traffic scenario generation as optimization with diffusion, 2024
Zhiyu Huang, Zixu Zhang, Ameya Vaidya, Yuxiao Chen, Chen Lv, and Jaime Fernández Fisac · 2024
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Scenediffuser: Efficient and controllable driving simulation initialization and rollout
Chiyu Max Jiang, Yijing Bai, Andre Cornman, Christopher Davis, Xiukun Huang, Hong Jeon, Sakshum Kulshrestha, John Lambert, Shuangyu Li, Xuanyu Zhou, Carlos Fuertes, Chang Yuan, Mingxing Tan, Yin Zhou, and Dragomir Anguelov · 2024
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Dice: Diverse diffusion model with scoring for trajectory prediction, 2023
Younwoo Choi, Ray Coden Mercurius, Soheil Mohamad Alizadeh Shabestary, and Amir Rasouli · 2023
Cited alongside, same era.
Trafficgen: Learning to generate diverse and realistic traffic scenarios
Lan Feng, Quanyi Li, Zhenghao Peng, Shuhan Tan, and Bolei Zhou · 2023
Cited alongside, same era.
Waymax: An accelerated, data-driven simulator for large-scale autonomous driving research
Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John D. Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, and Benjamin Sapp · 2023
Cited alongside, same era.
SceneDM: Scene-level multi-agent trajectory generation with consistent diffusion models, 2023
Zhiming Guo, Xing Gao, Jianlan Zhou, Xinyu Cai, and Botian Shi · 2023
Cited alongside, same era.
simple diffusion: End-to-end diffusion for high resolution images
Emiel Hoogeboom, Jonathan Heek, and Tim Salimans · 2023
Cited alongside, same era.
Gaia-1: A generative world model for autonomous driving
Anthony Hu, Lloyd Russell, Hudson Yeo, Zak Murez, George Fedoseev, Alex Kendall, Jamie Shotton, and Gianluca Corrado · 2023
Cited alongside, same era.
Motiondiffuser: Controllable multi-agent motion prediction using diffusion
Chiyu “Max” Jiang, Andre Cornman, Cheolho Park, Benjamin Sapp, Yin Zhou, and Dragomir Anguelov · 2023
Cited alongside, same era.
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Towards learning-based planning:the nuplan benchmark for real-world autonomous driving
Napat Karnchanachari, Dimitris Geromichalos, Kok Seang Tan, Nanxiang Li, Christopher Eriksen, Shakiba Yaghoubi, Noushin Mehdipour, Gianmarco Bernasconi, Whye Kit Fong, Yiluan Guo, and Holger Caesar · 2024
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Scenecontrol: Diffusion for controllable traffic scene generation
Jack Lu, Kelvin Wong, Chris Zhang, Simon Suo, and Raquel Urtasun · 2024
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Unigen: Unified modeling of initial agent states and trajectories for generating autonomous driving scenarios
Reza Mahjourian, Rongbing Mu, Valerii Likhosherstov, Paul Mougin, Xiukun Huang, Joao Messias, and Shimon Whiteson · 2024
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Improving agent behaviors with rl fine-tuning for autonomous driving
Zhenghao Peng, Wenjie Luo, Yiren Lu, Tianyi Shen, Cole Gulino, Ari Seff, and Justin Fu · 2024
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Trajeglish: Learning the language of driving scenarios
Jonah Philion, Xue Bin Peng, and Sanja Fidler · 2024
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Introducing general world models, 2024
Runway ML · 2024
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Drivescenegen: Generating diverse and realistic driving scenarios from scratch
Shuo Sun, Zekai Gu, Tianchen Sun, Jiawei Sun, Chengran Yuan, Yuhang Han, Dongen Li, and Marcelo H Ang · 2024
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Promptable closed-loop traffic simulation
Shuhan Tan, Boris Ivanovic, Yuxiao Chen, Boyi Li, Xinshuo Weng, Yulong Cao, Philipp Krähenbühl, and Marco Pavone · 2024
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Smart: Scalable multi-agent real-time motion generation via next-token prediction
Wei Wu, Xiaoxin Feng, Ziyan Gao, and Yuheng Kan · 2024
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Wcdt: World-centric diffusion transformer for traffic scene generation, 2024
Chen Yang, Aaron Xuxiang Tian, Dong Chen, Tianyu Shi, and Arsalan Heydarian · 2024
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Tedi: Temporally-entangled diffusion for long-term motion synthesis
Zihan Zhang, Richard Liu, Rana Hanocka, and Kfir Aberman · 2024
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Drivinggaussian: Composite gaussian splatting for surrounding dynamic autonomous driving scenes
Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, and Ming-Hsuan Yang · 2024
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Diffusion models are real-time game engines
Dani Valevski, Yaniv Leviathan, Moab Arar, and Shlomi Fruchter · 2025
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