Related references
Note: Only part of the references are listed.Comparison of threshold determination methods for the deceleration rate to avoid a crash (DRAC)-based crash estimation
Chuanyun Fu et al.
ACCIDENT ANALYSIS AND PREVENTION (2021)
Double Deep Q-Network with a Dual-Agent for Traffic Signal Control
Jianfeng Gu et al.
APPLIED SCIENCES-BASEL (2020)
A novel approach for real time crash prediction at signalized intersections
Lai Zheng et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
Multilane Spatiotemporal Trajectory Optimization Method (MSTTOM) for Connected Vehicles
Pangwei Wang et al.
JOURNAL OF ADVANCED TRANSPORTATION (2020)
Comparing the usefulness of real-time driving aids in a connected environment during mandatory and discretionary lane-changing manoeuvres
Yasir Ali et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2020)
Multi-Agent Bootstrapped Deep Q-Network for Large-Scale Traffic Signal Control
Tian Tan et al.
2020 IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (CCTA) (2020)
Self-learning adaptive traffic signal control for real-time safety optimization
Mohamed Essa et al.
ACCIDENT ANALYSIS AND PREVENTION (2020)
The impact of the connected environment on driving behavior and safety: A driving simulator study
Yasir Ali et al.
ACCIDENT ANALYSIS AND PREVENTION (2020)
Platoon recognition using connected vehicle technology
Kamonthep Tiaprasert et al.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2019)
Urban traffic signal control with connected and automated vehicles: A survey
Qiangqiang Guo et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2019)
Joint Optimization of Signal Phasing and Timing and Vehicle Speed Guidance in a Connected and Autonomous Vehicle Environment
Xiao (Joyce) Liang et al.
TRANSPORTATION RESEARCH RECORD (2019)
Full Bayesian conflict-based models for real time safety evaluation of signalized intersections
Mohamed Essa et al.
ACCIDENT ANALYSIS AND PREVENTION (2019)
Traffic conflict models to evaluate the safety of signalized intersections at the cycle level
Mohamed Essa et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
A Novel Surrogate Safety Indicator Based on Constant Initial Acceleration and Reaction Time Assumption
Adrian Fazekas et al.
JOURNAL OF ADVANCED TRANSPORTATION (2017)
Stochastic modeling for vehicle platoons (I): Dynamic grouping behavior and online platoon recognition
Baibing Li
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2017)
Distributed coordinated signal timing optimization in connected transportation networks
S. M. A. Bin Al Islam et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment
Huifu Jiang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Estimating traffic volumes for signalized intersections using connected vehicle data
Jianfeng Zheng et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Adaptive Coordination Based on Connected Vehicle Technology
Byungho Beak et al.
TRANSPORTATION RESEARCH RECORD (2017)
A capacity maximization scheme for intersection management with automated vehicles
Weili Sun et al.
PAPERS SELECTED FOR THE 22ND INTERNATIONAL SYMPOSIUM ON TRANSPORTATION AND TRAFFIC THEORY (2017)
A distributed framework for network-wide traffic monitoring and platoon information aggregation using V2V communications
Yingyan Lou et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)
Optimal speed advisory for connected vehicles in arterial roads and the impact on mixed traffic
Nianfeng Wan et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)
Quantifying the impact of adaptive traffic control systems on crash frequency and severity: Evidence from Oakland County, Michigan
Joshua Fink et al.
JOURNAL OF SAFETY RESEARCH (2016)
Effectiveness of variable speed limits considering commuters' long-term response
Wei Liu et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2015)
A real-time adaptive signal control in a connected vehicle environment
Yiheng Feng et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2015)
Networkwide Impacts of Vehicle Ecospeed Control in the Vicinity of Traffic Signalized Intersections
Raj Kishore Kamalanathsharma et al.
TRANSPORTATION RESEARCH RECORD (2015)
Kinematic Equation-Based Vehicle Queue Location Estimation Method for Signalized Intersections Using Mobile Sensor Data
Peng Hao et al.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2015)
Real time traffic states estimation on arterials based on trajectory data
Gabriel Hiribarren et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2014)
Hierarchical fuzzy rule-based system optimized with genetic algorithms for short term traffic congestion prediction
Xiao Zhang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Signal control optimization for automated vehicles at isolated signalized intersections
Zhuofei Li et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Using connected vehicle technology to improve the efficiency of intersections
S. Ilgin Guler et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2014)
Review of Variable Speed Limits and Advisories Theory, Algorithms, and Practice
Xiao-Yun Lu et al.
TRANSPORTATION RESEARCH RECORD (2014)
Multiagent Reinforcement Learning for Integrated Network of Adaptive Traffic Signal Controllers (MARLIN-ATSC): Methodology and Large-Scale Application on Downtown Toronto
Samah El-Tantawy et al.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2013)
Adaptive Traffic Signal Control With Vehicular Ad hoc Networks
Kartik Pandit et al.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY (2013)
Vehicle index estimation for signalized intersections using sample travel times
Peng Hao et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2013)
Arterial travel time forecast with streaming data: A hybrid approach of flow modeling and machine learning
Aude Hofleitner et al.
TRANSPORTATION RESEARCH PART B-METHODOLOGICAL (2012)
PAMSCOD: Platoon-based arterial multi-modal signal control with online data
Qing He et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2012)
Reinforcement learning-based multi-agent system for network traffic signal control
I. Arel et al.
IET INTELLIGENT TRANSPORT SYSTEMS (2010)
Queue length estimation from probe vehicle location and the impacts of sample size
Gurcan Comert et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2009)
Derivation and Validation of New Simulation-Based Surrogate Safety Measure
Kaan Ozbay et al.
TRANSPORTATION RESEARCH RECORD (2008)
Share Paper
