Standard Traffic Speed Benchmarks

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5 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

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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 +1Standard Traffic Speed Benchmarks Traffic
School of Transportation, Jilin University, Changchun 130022, China · School of Transportation and Logistics, Southwest Jiaotong University, Chengdu 610031, China
Smartphone-Based Method for Automated Speed Enforcement
Sep 24, 2026Keya Li, Jahnavi Malagavalli, Lamha Goel +2Robust License Plate Recognition Smartphone Photographs
Department of Civil, Architectural and Environmental Engineering The University of Texas at Austin · Department of Computer Science The University of Texas at Austin · Chandra Department of Electrical and Computer Engineering The University of Texas at Austin
Dissecting Motion-Prior Regularization for Data-Scarce Robotic Insertion
Sep 15, 2026Ning Hu, Shuai Li, Jindong TanKinematic Priors Robotic Manipulation
Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996, USA · Engineering School of Sustainable Infrastructure and Environment, University of Florida, Gainesville, FL 32611, USA
DriveMCP: An Agentic AI framework for Advanced Driver Assistance System
Sep 15, 2026Farzad Nadiri, Mehdi Cina, Ahmad B. RadDrives Agentic Framework
Department of Mechatronics Engineering, Simon Fraser University, Burnaby, BC, Canada
Speed Limit for Information Acquisition in Stochastic Learning Dynamics
Sep 8, 2026Shuta Kobayashi, Andreas DechantStochastic Gradient Descent Fisher Information Matrix
Department of Physics, Kyoto University, Kyoto 606-8502, Japan
Integrating Traffic Noise Emission Modelling into Variable Speed Limit Control
Sep 1, 2026Jiawen Meng, John Pravin Arockiasamy, Alexey VinelStandard Traffic Speed Benchmarks Traffic
Institute AIFB, Karlsruhe Institute of Technology, Germany · School of Information Technology, Halmstad University, Sweden
DART: Dual-Axis Airborne Reachability-Gated Torque-Reaction for Off-Road Vehicle Jumps
Jul 31, 2026Yu Hu, Fangzhou Zhao, Mingyuan Sang +7Standard Traffic Speed Benchmarks Torque
Research Center for Intelligent Computing Systems, Institute of Computing Technology, CAS, Beijing 100190, China. · School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, China. · Dong Feng Off-Road Vehicle Co., Ltd, Shiyan 442000, China.
Do Time Series Foundation Model Benchmarks Hide Regime-Dependent Failures? Evidence from Traffic Speed Forecasting
Jun 16, 2026Yingshuo Wang, Xian Sun, Lingdong Kong +4Time Series Foundation Models Accurate Traffic Forecasting
University of California, Berkeley, CA, USA · Duke University, Durham, NC, USA · National University of Singapore, Singapore +3
ROSA-RL: Uncertainty-Aware Roundabout Optimized Speed Advisory with Reinforcement Learning
Jun 15, 2026Anna-Lena Schlamp, Jeremias Gerner, Klaus Bogenberger +2Standard Traffic Speed Benchmarks Icr-Rl
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
Vision-Language Work Zone Intelligence for Safety-Critical Speed Regulation of Mixed-Autonomy Vehicles in Dynamic Environments
Jun 7, 2026Angel Martinez-Sanchez, Kianna Ng, Wesley Maia +7Standard Traffic Speed Benchmarks Human Driving
UC Merced · Johns Hopkins · UC San Diego
Physics-Informed Teacher-Student Ensemble Learning for Traffic State Estimation with a Varying Speed Limit Scenario
May 11, 2026Archie J. Huang, Dongdong Wang, Shaurya Agarwal +3Standard Traffic Speed Benchmarks Traffic
Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, Canada · Urban Artificial Intelligence Laboratory, University of Florida, Gainesville, USA · Department of Civil, Environmental and Construction Engineering, University of Central Florida, Orlando, USA
VRA: Grounding Discrete-Time Joint Acceleration in Voltage-Constrained Actuation
May 11, 2026Lingwei Zhang, Jiaming Wang, Tianlin Zhang +5Actuator Acceleration
Department of Mechanical and Automation Engineering; Hong Kong Embodied AI Lab, The Chinese University of Hong Kong
Projected Attainable Speed Space: A Driving Efficiency Metric Connecting Instantaneous Evaluation to Travel Time
Apr 27, 2026Xiaohua Zhao, Zhaowei Huang, Chen Chen +1Standard Traffic Speed Benchmarks Human Driving
Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing, 100124, P.R.China
Highway Congestion Reduction through Reinforcement Learning Based Eulerian Headway Control
Dec 3, 2024Yaron Veksler, Sharon Hornstein, Han Wang +2Standard Traffic Speed Benchmarks Human Driving
Research and Development Labs, General Motors, Herzliya, Israel. · Department of Civil and Environmental Engineering, UC Berkeley.

Sep 28, 2026, math.OCJ/K move · Enter open · S save

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

Guodong Ma, Baofeng Sun, Wenyu Yang, Zhihong Yao

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

Standard Traffic Speed Benchmarks Traffic Model Predictive Control Collision Prediction Multi-Agent Reinforcement Learning Sewing

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Successive weaving segments (SWSs) on urban expressways are bottlenecks prone to recurrent congestion and collisions, requiring fine-grained active traffic management (ATM). Existing approaches struggle to balance the adaptive performance of data-driven optimization with the resilience and transferability of model-based control. We propose a hybrid framework to coordinate lane-level variable speed limits (VSLs) and ramp metering across SWSs. First, we reconstruct L-METANET, a lane-level macroscopic traffic flow model that captures free and forced lane changes. Second, we combine XGBoost-SHAP with a random-parameters binary logit (RPBL) model to derive analytical equations for merging and diverging collision risks and formulate system cost and reward functions. Third, we develop MPC-STMAPPO, a hierarchical controller integrating model predictive control (MPC) and multi-agent reinforcement learning (MARL). Its upper MPC layer uses L-METANET for long-horizon rolling optimization and generates baseline commands; its lower spatiotemporal MAPPO (ST-MAPPO) layer, enhanced with Mamba cells and graph attention, produces residual actions for short-horizon adjustment. Real-world experiments on the 18-km Eastern Expressway in Changchun, China, show that L-METANET accurately reproduces lane-changing-induced flow redistribution and capacity drops, with state evolution aligned with ground truth. XGBoost-SHAP-RPBL achieves AUCs above 0.80 in most tasks, outperforming conventional logit models. MPC-STMAPPO converges faster and performs better across multiple metrics than MPC- and MARL-based baselines. Under randomly fluctuating demand, it also significantly outperforms pure MARL in generalization, demonstrating strong potential for industrial deployment.

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