Collaborative control of traffic signal and variable guiding lane for isolated intersection under connected and automated vehicle environment
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Title
Collaborative control of traffic signal and variable guiding lane for isolated intersection under connected and automated vehicle environment
Authors
Keywords
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Journal
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2021-10-30
DOI
10.1111/mice.12780
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Note: Only part of the references are listed.- Urban traffic signal control with connected and automated vehicles: A survey
- (2019) Qiangqiang Guo et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
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- (2019) Dongfang Zhao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Optimizing Signalized Intersections Performance Under Conventional and Automated Vehicles Traffic
- (2019) Mahmoud Pourmehrab et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Dynamic Speed Harmonization in Connected Urban Street Networks
- (2018) Mehrdad Tajalli et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Integrated optimization of traffic signals and vehicle trajectories at isolated urban intersections
- (2018) Chunhui Yu et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Spatiotemporal intersection control in a connected and automated vehicle environment
- (2018) Yiheng Feng et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A capacity maximization scheme for intersection management with automated vehicles
- (2018) Weili Sun et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Signal Timing Optimization with Connected Vehicle Technology: Platooning to Improve Computational Efficiency
- (2018) Xiao (Joyce) Liang et al. TRANSPORTATION RESEARCH RECORD
- Impacts of Traffic Tidal Flow on Pollutant Dispersion in a Non-Uniform Urban Street Canyon
- (2018) Tingzhen Ming et al. Atmosphere
- Parsimonious shooting heuristic for trajectory design of connected automated traffic part I: Theoretical analysis with generalized time geography
- (2017) Fang Zhou et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Platoons of connected vehicles can double throughput in urban roads
- (2017) Jennie Lioris et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Increasing Signalized Intersection Capacity with Unconventional Use of Special Width Approach Lanes
- (2016) Jing Zhao et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Emission Mitigation via Longitudinal Control of Intelligent Vehicles in a Congested Platoon
- (2015) Zhaodong Wang et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Energy-Optimal Speed Control for Electric Vehicles on Signalized Arterials
- (2015) Xinkai Wu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Optimal vehicle speed trajectory on a signalized arterial with consideration of queue
- (2015) Xiaozheng He et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A continuous-flow-intersection-lite design and traffic control for oversaturated bottleneck intersections
- (2015) Weili Sun et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A real-time adaptive signal control in a connected vehicle environment
- (2015) Yiheng Feng 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
- Traffic Responsive Control of Intersections with Predicted Arrival Times: A Markovian Approach
- (2013) René Haijema et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- A Survey of Traffic Control With Vehicular Communications
- (2013) Li Li 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
- Cumulative Travel-Time Responsive Real-Time Intersection Control Algorithm in the Connected Vehicle Environment
- (2013) Joyoung Lee et al. JOURNAL OF TRANSPORTATION ENGINEERING
- Vehicle trajectory reconstruction for signalized intersections using mobile traffic sensors
- (2013) Zhanbo Sun et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- A Bi-Level Model for Planning Signalized and Uninterrupted Flow Intersections in an Evacuation Network
- (2012) Yue Liu et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Development and Evaluation of a Cooperative Vehicle Intersection Control Algorithm Under the Connected Vehicles Environment
- (2012) Joyoung Lee et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Stochastic Optimization for Coordinated Actuated Traffic Signal Systems
- (2012) Ilsoo Yun et al. JOURNAL OF TRANSPORTATION ENGINEERING
- Increasing the capacity of signalized intersections with separate left turn phases
- (2011) Yiguang Xuan 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
- Fusing Loop Detector and Probe Vehicle Data to Estimate Travel Time Statistics on Signalized Urban Networks
- (2010) Ashish Bhaskar et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Optimal allocation of turns to lanes at an isolated signal-controlled junction
- (2010) C.K. Wong et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
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