Intelligent Transportation Systems

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Overview

Intelligent Transportation Systems study how to monitor and manage road, rail, air, maritime, and public transit networks, with goals such as safer travel, less congestion, and reliable service. Common approaches include computer vision and multimodal sensing, graph-based traffic forecasting, trajectory prediction, reinforcement learning and model-predictive control, and optimization for routing, scheduling, and infrastructure. Methods are tested on trajectory and traffic datasets and in tools such as SUMO and CARLA, alongside field deployments for tasks including signal control, crash-risk assessment, and transit operations. Large language and multimodal models are beginning to support planning and control, but generalization across cities and changing networks, safety verification, privacy, and evidence from real-world deployment remain key challenges.

Latest papers

CardsList

303 papers25 papers in the last four weeks, level with the four weeks before. 0.1% of all new papers.

  1. Evaluating Priority Dispatch for Premium Membership in On-demand Taxi-sharing

    Oct 27, 2026Nozomi Yamamoto, Hiroki Sakaji, Itsuki NodaReal-Time SchedulingVehicle Routing

    Hokkaido University, Sapporo 060-0808, Japan

  2. GNN-Guided Network Reduction for Centralized Urban Traffic Routing

    Oct 27, 2026Nikolai Antonov, Lukáš Chrpa, Andrii Nyporko +1Vehicle RoutingIntelligent Transportation Systems

    Czech Technical University in Prague, Czech Institute of Informatics, Robotics and Cybernetics, Jugoslávských partyzánů 1580/3, Prague, 160 00, Czech Republic · Czech Technical University in Prague, Faculty of Electrical Engineering, Technická 2, Prague, 166 27, Czech Republic

  3. Joint Dynamic Lane Reversal and Variable Speed Limit Control: A Graphormer-Based Approach

    Oct 26, 2026Hamed Araab, Abbas Ahmadi, Mohammad Hossein BasiriIntelligent Transportation SystemsGraph Transformer

    Department of Industrial Engineering and Management Systems, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran · Department of Electrical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran

  4. Balancing Mobility Efficiency and Environmental Exposure During Mega Events: A Multi-agent Routing Framework

    Oct 26, 2026Xinyue Liu, Qiumeng Li, Suhong Zhou +3Risk-Aware Path PlanningVehicle Routing

    Thrust of Urban Governance and Design, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China · Thrust of Intelligent Transportation, Systems Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, 511453, China · School of Geography and Planning, Sun Yat-sen University, Guangzhou, 510006, China +2

  5. Resolving the Mobility-Equity-Emissions Trilemma: A Causal Machine Learning Framework for Dynamic Tolling Policy

    Oct 25, 2026Christian Mulomba MukendiDynamic PricingIntelligent Transportation Systems

    KyungSung University

  6. Clean-label Poisoning Attack and Defense Game for Federated Learning in Vehicular Networks

    Oct 23, 2026Yalin E. Sagduyu, Tugba Erpek, Nathan Stephenson +1Federated LearningIntelligent Transportation Systems

    Nexcepta Inc., Gaithersburg, MD, USA · RTX BBN Technologies, Cambridge, MA, USA

  7. Learning to Incentivise: Using Reinforcement Learning for Sustainable Urban Mobility

    Oct 21, 2026Germán Pardo-González, Shaghayegh Vosough, Katerina Papadaki +1Intelligent Transportation Systems

    Dept. of Mathematics, London School of Economics and Political Science, London, UK · Dept. of Built Environment, Aalto University, Espoo, Finland · Centre for Industrial Management/Traffic and Infrastructure, KU Leuven, Leuven, Belgium

  8. Integrated Longitudinal and Lateral Control for High-Speed Platooning of Articulated Vehicles

    Oct 21, 2026Aashish Shaju, Steve Southward, Mehdi AhmadianAutonomous DrivingIntelligent Transportation Systems

    Center for Vehicle Systems and Safety (CVeSS), Virginia Tech, Blacksburg, VA 24060, USA

  9. Distributed Platoon Control for Safe and Smooth Crossing at an Unsignalized Intersection-Part I: Stability Analysis

    Oct 20, 2026Bin-Bin Hu, Shuwei Pei, Saeed Ahmed +1Distributed ControlIntelligent Transportation Systems

    Engineering and Technology Institute Groningen, University of Groningen, 9747 AG Groningen, The Netherlands

  10. Agentic discovery of interpretable car-following laws from multi-source trajectory data

    Oct 20, 2026Jiamei Xu, Jie Sun, Keshuang Tang +1Traffic Flow TheoryIntelligent Transportation Systems

    College of Transportation Engineering & Key Laboratory of Road and Traffic Engineering of the Ministry of Education, Tongji University, Shanghai, 201804, China

  11. Complete Street Design informed by Multi-Agent Simulation

    Oct 20, 2026Sharika J. Hegde, Amirmohammad Khakpour, Pedram Beigi +3Urban PlanningIntelligent Transportation Systems

    Marco · Department of Civil and Environmental Engineering, Northwestern University

  12. CARRS: A Constraint-Aware, Real-Time Routing System for Emergency Vehicles in Urban Environments

    Oct 19, 2026Vincent Sello, Timothy Adeliyi, Ridewaan HansloVehicle RoutingIntelligent Transportation Systems

    Academy of Computer Science and Software Engineering, University of Johannesburg, Johannesburg, Gauteng, South Africa · Department of Informatics, University of Pretoria, Pretoria, Gauteng, South Africa · Department of Information Systems, University of Cape Town, Cape Town, Western Cape, South Africa

  13. Choosing models for network-wide freeway speed estimation and forecasting from sparse fixed sensors

    Oct 15, 2026Ran Tu, Zihao Li, Arash MirzaeiTraffic ForecastingTraffic Flow Estimation

    North Central Texas Council of Governments, Arlington, TX 76011, USA

  14. SHRED: Self-Play for Heterogeneous Road-Users without Expert Demonstrations

    Oct 14, 2026Wei-Jer Chang, Zhouchonghao Wu, Akshay Rangesh +3Self-Play RLAutonomous Driving Simulation

    Applied Intuition · University of California, Berkeley

  15. Large Language Model Assisted Transportation Planning through a Differentiable User Equilibrium Layer

    Oct 12, 2026Eunseung Lee, Gyeongjun Kim, Keemin SohnIntelligent Transportation SystemsLLM Planning

    Department of Smart City, Chung-Ang University, Seoul, Korea · Department of Urban Engineering, Department of Smart City, Chung-Ang University, Seoul, Korea

  16. From Rainfall to Road-Network Functionality: Transferable Graph Forecasting for Flood-Disrupted Transportation Networks

    Oct 10, 2026Junyan Wang, Naiyu WangSpatiotemporal ForecastingSpatiotemporal GNNs

    College of Civil Engineering and Architecture, Zhejiang University, Hangzhou 310058, China

  17. Semantic Edge-Cloud Communication for Real-Time Urban Traffic Digital Twins

    Oct 9, 2026Murat Arda Onsu, Arman Dogru, Poonam Lohan +2Trajectory ReconstructionIntelligent Transportation Systems

    School of Electrical Engineering and Computer Science, University of Ottawa, Ottawa, ON, Canada. · Nokia Bell Labs, 600 March Road, Kanata, ON K2K 2E6, Canada.

  18. SeoulMMOD: A Large-Scale Multimodal Origin-Destination Flow Benchmark

    Oct 9, 2026Taeyoung Yu, Seonbin Jo, Jiwon Kim +1Forecasting BenchmarksTraffic Forecasting

    The University of Queensland · POSTECH · Chung-Ang University

  19. Collective Autonomous Vehicle Routing Needs Social Awareness for Coexistence with Human Drivers

    Oct 9, 2026Anastasia Psarou, Mikolaj Rams, Blazej Torbus +1Vehicle RoutingIntelligent Transportation Systems

    Faculty of Mathematics and Computer Science, Jagiellonian University Kraków, Poland

  20. Neuro-Memory Fuzzy Inference System for Mimicking Human-like Car Following Behavior

    Oct 8, 2026Nazmul Haque, Md Asif Raihan. Md. HadiuzzamanIntelligent Transportation SystemsComputational Cognitive Modeling

    Accident Research Institute (ARI) Bangladesh University of Engineering and Technology (BUET) Dhaka 1000, Bangladesh · Department of Civil Engineering Bangladesh University of Engineering and Technology (BUET) Dhaka 1000, Bangladesh

  21. Adaptive Multi-Discriminator WGAN Framework for Resource-Constrained Internet of Vehicles Using Reinforcement Learning and Game Theory

    Oct 7, 2026Farhoud Jafari Kaleibar, Amr M. Zaki, Marin LitoiuGenerative Adversarial NetworksIntelligent Transportation Systems

    Department of Electrical and Computer Engineering, York University, Toronto, ON, Canada

  22. Learning Traffic Flow Dynamics with Stochastic Physics-Informed Neural Cellular Automata

    Oct 7, 2026Federica Bragone, Matthieu BarreauTraffic Flow TheoryNeural Cellular Automata

    Department of Decision and Control Systems, KTH Royal Institute of Technology, Stockholm, Sweden

  23. Synergizing Drone Delivery Order Pooling and Road Network Monitoring through Monitoring-Task Orderization

    Oct 4, 2026Yulong Hu, Meng Xu, Sen Li +1Aerial RoboticsIntelligent Transportation Systems

    Department of Civil and Environmental Engineering, The Hong Kong University of Science and Technology, Hong Kong, China · School of Architecture, Civil and Environmental Engineering (ENAC), École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

  24. Joint upper-bound coverage and route-choice utility: an empirical evaluation on two urban proxy tasks

    Oct 4, 2026Jianing Long, Xiaobin Li, Wuming Lei +1Decision-Making under UncertaintyIntelligent Transportation Systems

    School of Transportation Engineering East China Jiaotong University

  25. Trustworthy Data- and ML-Ops for Intelligent Transportation Systems and Logistics

    Oct 1, 2026Antonio Emanuele Cinà, Giovanni Scodeller, Cecilia Caterina Pasquale +5Intelligent Transportation SystemsTrust in AI

  26. VLALight: A Vision-Language-Action Model for Traffic Signal Control

    Sep 29, 2026Pan Zhang, Siqi Lai, Kemu Dong +1Intelligent Transportation SystemsVision-Language-Action Models

    The Hong Kong University of Science and Technology (Guangzhou) · Dalian University of Technology

  27. Agent-Based Evolutionary Dynamics for Mixed Autonomy Weaving Ramps

    Sep 29, 2026Sheryl Paul, Kexin Wang, Ruolin Li +1Intelligent Transportation SystemsAgent-Based Modeling

    University of Southern California, Los Angeles, CA, USA.

  28. Encoder-Sharing Hierarchical Federated Multi-Task Learning for VANETs

    Sep 28, 2026M. Saeid HaghighiFard, Sinem ColeriHierarchical Federated LearningIntelligent Transportation Systems

    Department of Electrical and Electronics Engineering, Koc¸ University, Istanbul, Türkiye

  29. Coordinated Lane-Level Variable Speed Limits and Ramp Metering for Successive Weaving Segments Considering Merging/Diverging Risks: A Hybrid Model Predictive Control and Multi-Agent Reinforcement Learning Approach

    Sep 28, 2026Guodong Ma, Baofeng Sun, Wenyu Yang +1Intelligent Transportation SystemsModel Predictive Control

    School of Transportation, Jilin University, Changchun 130022, China · School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China

  30. One Perception, All Maneuvers: Directional Traffic Signal Understanding for Maneuver-Level Signal Intent Prediction

    Sep 26, 2026Ang Zou, Runzhe Zheng, Zhigang li +5Autonomous Driving PerceptionIntelligent Transportation Systems

    College of Computer Science and Technology, Zhejiang University · BYD Company Limited · School of Electronic and Information Engineering, Shanghai DianJi University