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. Right in Time: Reactive Reasoning in Regulated Traffic Spaces

    Mar 4, 2026Simon Kohaut, Benedict Flade, Julian Eggert +2Runtime Enforcement for AI AgentsIntelligent Transportation Systems

    Artificial Intelligence and Machine Learning Lab, Department of Computer Science, TU Darmstadt, 64283 Darmstadt, Germany · Konrad Zuse School of Excellence in Learning and Intelligent Systems · Honda Research Institute Europe GmbH, Carl-Legien-Str. 30, 63073 Offenbach, Germany +4

  2. Dual-Interaction-Aware Cooperative Control Strategy for Alleviating Mixed Traffic Congestion

    Mar 4, 2026Zhengxuan Liu, Yuxin Cai, Yijing Wang +3Intelligent Transportation SystemsMulti-Agent Control

    Tianjin Key Laboratory of Intelligent Unmanned Swarm Technology and System, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, China · School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore · Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China

  3. DWAFM: Dynamic Weighted Graph Structure Embedding Integrated with Attention and Frequency-Domain MLPs for Traffic Forecasting

    Mar 1, 2026Sen Shi, Zhichao Zhang, Yangfan HeTraffic ForecastingSpatiotemporal Forecasting

    School of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China · Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan 430062, China · Key Laboratory of System Control and Information Processing, Ministry of Education, Shanghai Jiao Tong University, Shanghai 200240, China +2

  4. Detecting Transportation Mode Using Dense Smartphone GPS Trajectories and Transformer Models

    Feb 27, 2026Yuandong Zhang, Othmane Echchabi, Tianshu Feng +3Intelligent Transportation SystemsTransformer

    University of California San Diego, CA, USA · McGill University Mila - Quebec AI Institute Montréal, QC, Canada · University of Pennsylvania Philadelphia, PA, USA +1

  5. Bridging Policy and Real-World Dynamics: LLM-Augmented Rebalancing for Shared Micromobility Systems

    Feb 26, 2026Heng Tan, Hua Yan, Yu YangIntelligent Transportation SystemsVehicle Routing

    Department of Computer Science & Engineering, Lehigh University, Bethlehem, USA

  6. Phys-3D: Physics-Constrained Real-Time Crowd Tracking and Counting on Railway Platforms

    Feb 26, 2026Bin Zeng, Johannes Künzel, Anna Hilsmann +1Crowd CountingMulti-Object Tracking

    Visual Computing Group, Humboldt University Berlin, Unter den Linden 6, 10099 Berlin, Germany · Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, HHI, Einsteinufer 37, 10587 Berlin, Germany

  7. HONEST-CAV: Hierarchical Optimization of Network Signals and Trajectories for Connected and Automated Vehicles with Multi-Agent Reinforcement Learning

    Feb 21, 2026Ziyan Zhang, Changxin Wan, Peng Hao +5Intelligent Transportation SystemsTraffic Signal Control

    College of Engineering, Center for Environmental Research and Technology, University of California at Riverside, Riverside, CA, 92507. · InfoTech Labs, Toyota Motor North America, Mountain View, CA, 94043.

  8. Automated Quality Check of Sensor Data Annotations

    Feb 19, 2026Niklas Freund, Zekiye Ilknur-Öz, Tobias Klockau +3Training Data CurationIntelligent Transportation Systems

    Digitale Schiene Deutschland, DB InfraGO AG, Berlin, Germany

  9. A Multi-modal Detection System for Infrastructure-based Freight Signal Priority

    Feb 19, 2026Ziyan Zhang, Chuheng Wei, Xuanpeng Zhao +6Intelligent Transportation SystemsObject Detection

    Center for Environmental Research and Technology (CE-CERT), University of California at Riverside (UCR), Riverside, CA

  10. MoDE-Boost: Boosting Shared Mobility Demand with Edge-Ready Prediction Models

    Feb 18, 2026Antonios Tziorvas, George S. Theodoropoulos, Yannis TheodoridisSpatiotemporal ForecastingIntelligent Transportation Systems

    Department of Informatics, University of Piraeus, Piraeus, Greece.

  11. Real-time Secondary Crash Likelihood Prediction Excluding Post Primary Crash Features

    Feb 17, 2026Lei Han, Mohamed Abdel-Aty, Zubayer Islam +1Traffic Accident AnticipationIntelligent Transportation Systems

    Smart and Safe Transportation lab at the Department of Civil, Environmental and Construction Engineering, University of Central Florida, USA

  12. MMCAformer: Macro-Micro Cross-Attention Transformer for Traffic Speed Prediction with Microscopic Connected Vehicle Driving Behavior

    Feb 17, 2026Lei Han, Mohamed Abdel-Aty, Younggun Kim +2Traffic ForecastingSpatiotemporal Forecasting

    Smart and Safe Transportation lab at the Department of Civil, Environmental and Construction Engineering, University of Central Florida, USA

  13. ROSA: Roundabout Optimized Speed Advisory with Multi-Agent Trajectory Prediction in Multimodal Traffic

    Feb 16, 2026Anna-Lena Schlamp, Jeremias Gerner, Klaus Bogenberger +2Intelligent Transportation SystemsVehicle Trajectory Prediction

    Institute AImotion Bavaria, Technische Hochschule Ingolstadt, Ingolstadt, Germany · School of Engineering and Design, Technical University of Munich, Munich, Germany · CARISSMA Institute of Automated Driving (C-IAD), Technische Hochschule Ingolstadt, Ingolstadt, Germany

  14. UniST-Pred: A Robust Unified Framework for Spatio-Temporal Traffic Forecasting in Transportation Networks Under Disruptions

    Feb 15, 2026Yue Wang, Djellel Difallah, Areg Karapetyan +1Intelligent Transportation SystemsSpatiotemporal Forecasting

    New York University Abu Dhabi

  15. karl. -- A Research Vehicle for Automated and Connected Driving

    Feb 9, 2026Jean-Pierre Busch, Lukas Ostendorf, Guido Linden +5Intelligent Transportation SystemsAutonomous Driving

    Institute for Automotive Engineering (ika), RWTH Aachen University, Germany

  16. Spatiotemporal Semantic V2X Framework for Cooperative Collision Prediction

    Jan 23, 2026Murat Arda Onsu, Poonam Lohan, Burak Kantarci +3Intelligent Transportation SystemsSemantic Communication

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

  17. Attention in Motion: Secure Platooning via Transformer-based Misbehavior Detection

    Dec 17, 2025Konstantinos Kalogiannis, Ahmed Mohamed Hussain, Hexu Li +1TransformerIntelligent Transportation Systems

    Networked Systems Security (NSS) Group, KTH Royal Institute of Technology, Stockholm, Sweden · Tech Validation – AI department at the Chief Technology Officer (CTO) Organization, Lenovo, Beijing, China

  18. Probabilistic Multi-Agent Aircraft Landing Time Prediction

    Dec 9, 2025Kyungmin Kim, Seokbin Yoon, Keumjin LeeEvent Time PredictionAir Traffic Management

    Korea Aerospace University, Goyang, 10540, South Korea

  19. HieraMix: A Hierarchical MLP-Mixer for Large-Scale Traffic Forecasting

    Nov 26, 2025Yongyao Wang, Xie Yu, Jingyuan Wang +2Intelligent Transportation SystemsSpatiotemporal Forecasting

    1State Key Laboratory of Complex & Critical Software Environment (SKLCCSE) · School of Computer Science and Engineering, Beihang University, Beijing, China · 3MOE Engineering Research Center of Advanced Computer Application Technology, Beihang University, China

  20. Benchmarking Nighttime Traffic Sign Recognition with Illumination-Adaptive Detection and Semantic Attribute Reasoning

    Nov 21, 2025Aditya Mishra, Akshay Agarwal, Haroon LoneTraffic Sign DetectionIntelligent Transportation Systems

    IISER Bhopal

  21. Enhancing Road Safety Through Multi-Camera Image Segmentation with Post-Encroachment Time Analysis

    Nov 15, 2025Shounak Ray Chaudhuri, Arash Jahangiri, Christopher PaoliniIntelligent Transportation Systems

    Department of Electrical and Computer Engineering San Diego State University California, USA · Department of Civil, Construction, and Environmental Engineering San Diego State University California, USA

  22. Game-theoretic Regulated Decentralized Coordination for Airspace Sector Overload Mitigation

    Nov 14, 2025Jaehan Im, Daniel Delahaye, David Fridovich-Keil +1Multi-Agent CoordinationAir Traffic Management

    The University of Texas at Austin, 110 Inner Campus Drive, Austin, 78712, Texas, United States · École Nationale de lAviation Civile, 7 Avenue Édouard Belin, CS 54005, Toulouse Cedex 4, 31055, France

  23. LLM4Delay: Flight Delay Prediction via Cross-Modality Adaptation of Large Language Models and Aircraft Trajectory Representation

    Oct 24, 2025Thaweerath Phisannupawong, Joshua Julian Damanik, Han-Lim ChoiAir Traffic ManagementIntelligent Transportation Systems

    Department of Aerospace Engineering, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.

  24. Equilibria in routing games with connected autonomous vehicles may not be strong, as exclusive clubs may form

    Oct 14, 2025Anastasia Psarou, Natello Descormier, Rafał KucharskiNash EquilibriumIntelligent Transportation Systems

    Jagiellonian University, Faculty of Mathematics and Informatics, Kraków, Poland · École polytechnique, Institut Polytechnique de Paris, Palaiseau, France

  25. Learn2Drive: A neural network-based framework for socially compliant automated vehicle control

    Sep 30, 2025Yuhui Liu, Samannita Halder, Shian Wang +1Intelligent Transportation SystemsAutonomous Driving

    Department of Civil Engineering Saint Louis University · Department of Electrical and Computer Engineering Saint Louis University · Department of Civil, Environmental, and Architectural Engineering The University of Kansas

  26. Single Agent Robust Deep Reinforcement Learning for Bus Fleet Control

    Aug 28, 2025Yifan Zhang, Liang Zheng, Qifan ZhangReinforcement LearningIntelligent Transportation Systems

    Central South University

  27. Integrated Noise and Safety Management in UAM via A Unified Reinforcement Learning Framework

    Aug 22, 2025Surya Murthy, Zhenyu Gao, John-Paul Clarke +1Multi-Objective Reinforcement LearningCollision Avoidance

    Graduate Research Assistant, Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin · Postdoctoral Fellow, Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin · Professor and Ernest Cockrell, Jr. Memorial Chair in Engineering, Department of Aerospace Engineering and Engineering Mechanics, The University of Texas at Austin +1

  28. Closed-Circuit Television Data as an Emergent Data Source for Urban Rail Platform Crowding Estimation

    Aug 3, 2025Riccardo Fiorista, Awad Abdelhalim, Anson F. Stewart +3Intelligent Transportation SystemsCrowd Counting

    Transit Lab Department of Urban Studies and Planning Massachusetts Institute of Technology, Cambridge, MA 02139, USA · Washington Metropolitan Area Transit Authority 300 7th Street SW, Washington, DC 20024, USA

  29. Flow-Through Tensors: A Unified Computational Graph Architecture for Multi-Layer Transportation Network Optimization

    Jun 30, 2025Xuesong Zhou, Taehooie Kim, Mostafa Ameli +3Intelligent Transportation SystemsCombinatorial Optimization

  30. HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation

    Jun 17, 2025Lihuan Li, Hao Xue, Shuang Ao +2Intelligent Transportation SystemsHierarchical Representation Learning

    University of New South Wales Sydney, Australia · Hong Kong University of Science and Technology (Guangzhou) Guangzhou, China