Real-time signal-vehicle coupled control: An application of connected vehicle data to improve intersection safety
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Title
Real-time signal-vehicle coupled control: An application of connected vehicle data to improve intersection safety
Authors
Keywords
Reinforcement learning, Signal-vehicle coupled control, Adaptive traffic signal control, Trajectory optimization, Speed advisory, Connected vehicles
Journal
ACCIDENT ANALYSIS AND PREVENTION
Volume 162, Issue -, Pages 106389
Publisher
Elsevier BV
Online
2021-09-21
DOI
10.1016/j.aap.2021.106389
References
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- (2020) Jianfeng Gu et al. Applied Sciences-Basel
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- A Novel Surrogate Safety Indicator Based on Constant Initial Acceleration and Reaction Time Assumption
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- Stochastic modeling for vehicle platoons (I): Dynamic grouping behavior and online platoon recognition
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- Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment
- (2017) Huifu Jiang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Estimating traffic volumes for signalized intersections using connected vehicle data
- (2017) Jianfeng Zheng et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Adaptive Coordination Based on Connected Vehicle Technology
- (2017) Byungho Beak et al. TRANSPORTATION RESEARCH RECORD
- A distributed framework for network-wide traffic monitoring and platoon information aggregation using V2V communications
- (2016) Yingyan Lou et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic
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- Effectiveness of variable speed limits considering commuters’ long-term response
- (2015) Wei Liu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- A real-time adaptive signal control in a connected vehicle environment
- (2015) Yiheng Feng et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Networkwide Impacts of Vehicle Ecospeed Control in the Vicinity of Traffic Signalized Intersections
- (2015) Raj Kishore Kamalanathsharma et al. TRANSPORTATION RESEARCH RECORD
- Kinematic Equation-Based Vehicle Queue Location Estimation Method for Signalized Intersections Using Mobile Sensor Data
- (2014) Peng Hao et al. Journal of Intelligent Transportation Systems
- Real time traffic states estimation on arterials based on trajectory data
- (2014) Gabriel Hiribarren et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Hierarchical fuzzy rule-based system optimized with genetic algorithms for short term traffic congestion prediction
- (2014) Xiao Zhang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Signal control optimization for automated vehicles at isolated signalized intersections
- (2014) Zhuofei Li et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Using connected vehicle technology to improve the efficiency of intersections
- (2014) S. Ilgin Guler et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Review of Variable Speed Limits and Advisories
- (2014) Xiao-Yun Lu et al. TRANSPORTATION RESEARCH RECORD
- Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto
- (2013) Samah El-Tantawy et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Adaptive Traffic Signal Control With Vehicular Ad hoc Networks
- (2013) Kartik Pandit et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Vehicle index estimation for signalized intersections using sample travel times
- (2013) Peng Hao et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning
- (2012) Aude Hofleitner et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- PAMSCOD: Platoon-based arterial multi-modal signal control with online data
- (2011) Qing He et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Reinforcement learning-based multi-agent system for network traffic signal control
- (2010) I. Arel et al. IET Intelligent Transport Systems
- Derivation and Validation of New Simulation-Based Surrogate Safety Measure
- (2009) Kaan Ozbay et al. TRANSPORTATION RESEARCH RECORD
- Queue length estimation from probe vehicle location and the impacts of sample size
- (2008) Gurcan Comert et al. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
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