Urban traffic signal control with connected and automated vehicles: A survey
Inefficient traffic control is pervasive in modern urban areas, which would exaggerate traffic
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
congestion as well as deteriorate mobility, fuel economy and safety. In this paper, we …
Connected vehicles based traffic signal timing optimization
We study the traffic signal control problem with connected vehicles by assuming a fixed
cycle length so that the proposed model can be extended readily for the coordination of …
cycle length so that the proposed model can be extended readily for the coordination of …
A review of the critical elements and development of real-world connected vehicle testbeds around the world
A Emami, M Sarvi, S Asadi Bagloee - Transportation letters, 2022 - Taylor & Francis
Concerning the critical role of Intelligent Transportation System (ITS) in tackling the problem
of traffic congestion, and enhancing the safety, mobility and sustainability of the transport …
of traffic congestion, and enhancing the safety, mobility and sustainability of the transport …
Multi-agent deep neural networks coupled with LQF-MWM algorithm for traffic control and emergency vehicles guidance
Authorities in modern cities are facing daily challenges related to traffic control. Due to the
problem complexity caused by the urbanization growth, investing in developing traffic signal …
problem complexity caused by the urbanization growth, investing in developing traffic signal …
Priority-based traffic signal coordination system with multi-modal priority and vehicle actuation in a connected vehicle environment
This paper presents a priority-based coordination system that provides preferential treatment
to vehicles traveling along a coordinated route. A mixed-integer linear program model is …
to vehicles traveling along a coordinated route. A mixed-integer linear program model is …
Connected vehicle–based adaptive signal control and applications
Basic signal operation strategies allocate green time to different traffic movements to control
the flow at an intersection. Signal control applications consider different objectives, such as …
the flow at an intersection. Signal control applications consider different objectives, such as …
Optimizing freeway merge operations under conventional and automated vehicle traffic
This paper presents an optimization algorithm for freeway operations at merge zones that
maximizes the average speed of the segment in the presence of connected and automated …
maximizes the average speed of the segment in the presence of connected and automated …
A review of research on intersection control based on connected vehicles and data-driven intelligent approaches
K Gao, S Huang, J Xie, NN Xiong, R Du - Electronics, 2020 - mdpi.com
Benefiting from the application of vehicle communication networks and new technologies,
such as connected vehicles, video monitoring, automated vehicles and vehicle–road …
such as connected vehicles, video monitoring, automated vehicles and vehicle–road …
Development of planning-level guidelines for deploying transit signal priority
Y Xiao, MDS Ali, EI Kaisar… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Transit Signal Priority (TSP) has been proposed and implemented to reduce transit travel
time, provide better schedule adherence, and improve transit efficiency. However, concerns …
time, provide better schedule adherence, and improve transit efficiency. However, concerns …
Deployment and testing of optimized autonomous and connected vehicle trajectories at a closed-course signalized intersection
In this paper, we discuss the deployment and testing of an intelligent real-time isolated
intersection traffic control system (IICS), designed to optimize simultaneously signal control …
intersection traffic control system (IICS), designed to optimize simultaneously signal control …