Arterial Queue Spillback Detection and Signal Control Based on Connected Vehicle Technology

2013 ◽  
Vol 2366 (1) ◽  
pp. 61-70 ◽  
Author(s):  
Eleni Christofa ◽  
Juan Argote ◽  
Alexander Skabardonis
Keyword(s):  
Signal Control ◽  
Connected Vehicle ◽  
Connected Vehicle Technology ◽  
Vehicle Technology

Adaptive Coordination Based on Connected Vehicle Technology

2017 ◽  
Vol 2619 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Byungho Beak ◽  
K. Larry Head ◽  
Yiheng Feng
Keyword(s):  
Mixed Integer ◽  
Signal Control ◽  
Connected Vehicle ◽  
Average Delay ◽  
Mixed Integer Linear Program ◽  
Adaptive Signal Control ◽  
Connected Vehicle Technology ◽  
Vehicle Technology ◽  
Adaptive Control Algorithm ◽  
Adaptive Signal

This paper presents a methodology that integrates coordination with adaptive signal control in a connected vehicle environment. The model consists of two levels of optimization. At the intersection level, an adaptive control algorithm allocates the optimal green time to each phase in real time by using dynamic programming that considers coordination constraints. At the corridor level, a mixed-integer linear program is formulated on the basis of data from the intersection level to optimize offsets along the corridor. After the corridor-level algorithm solves the optimization problem, the optimized offsets are sent to the intersection-level algorithm to update the coordination constraints. The model was compared with actuated–coordinated signal control by means of Vissim simulation. The results indicate that the model can reduce average delay and average number of stops for both coordinated routes and the entire network.

scholarly journals Queue Spillover Management in a Connected Vehicle Environment

2018 ◽  
Vol 10 (8) ◽  
pp. 79 ◽  
Author(s):  
Chuanxiang Ren ◽  
Wenbo Zhang ◽  
Lingqiao Qin ◽  
Bo Sun
Keyword(s):  
Signal Control ◽  
Connected Vehicle ◽  
Maximum Phase ◽  
Intersection Signal Control ◽  
Connected Vehicle Technology ◽  
Vehicle Technology ◽  
Simulation Results ◽  
Networking Technologies ◽  
Vehicle Networking ◽  
Control Distance

To alleviate the queue spillovers at intersections of urban roads during rush hours, a solution to the cross-spill problem based on vehicle networking technologies is proposed. This involves using connected vehicle technology, to realize the interactive information on vehicle and intersection signal control. The maximum control distance between intersections is determined by how vehicles are controlled and would travel in that connected environment. A method of calculating overflow tendency towards intersection queuing is also proposed, based on the maximum phase control distance. By this method, the intersection overflow is identified, and then the signal phases are re-optimized according to the requirements of different phases. Finally, overflow prevention control was also performed in this study. The VISSIM simulation results show that the method can better prevent the overflow of queues at intersections.

A Distributed Message Delivery Infrastructure for Connected Vehicle Technology Applications

2018 ◽  
Vol 19 (3) ◽  
pp. 787-801 ◽  
Author(s):  
Yuheng Du ◽  
Mashrur Chowdhury ◽  
Mizanur Rahman ◽  
Kakan Dey ◽  
Amy Apon ◽  
...  
Keyword(s):  
Connected Vehicle ◽  
Message Delivery ◽  
Technology Applications ◽  
Connected Vehicle Technology ◽  
Vehicle Technology
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