Evaluating the Effects of Switching Period of Communication Topologies and Delays on Electric Connected Vehicles Stream With Car-Following Theory

2020 ◽  
pp. 1-11
Author(s):  
Hang Zhao ◽  
Yongfu Li ◽  
Wei Hao ◽  
Srinivas Peeta ◽  
Yibing Wang
Keyword(s):  
Connected Vehicles ◽  
Car Following

Networkwide Impacts of Vehicle Ecospeed Control in the Vicinity of Traffic Signalized Intersections

2015 ◽  
Vol 2503 (1) ◽  
pp. 91-99 ◽  
Author(s):  
Raj Kishore Kamalanathsharma ◽  
Hesham A. Rakha ◽  
Hao Yang
Keyword(s):  
Traffic Congestion ◽  
Signalized Intersections ◽  
Simulation Software ◽  
Connected Vehicles ◽  
Market Penetration ◽  
Total Delay ◽  
Car Following ◽  
Fuel Savings ◽  
Timing Information ◽  
Vehicle Trajectories

Ecospeed control is an advanced ecodriving or ecovehicle control algorithm that uses signal phasing and timing information from signalized intersections to generate fuel-optimum vehicle trajectories. The proposed algorithm uses connected vehicles technology to communicate between vehicles and the infrastructure. The research presented in this paper integrates the algorithm with state-of-the-art traffic simulation software, in this case the INTEGRATION software, to develop a tool capable of analyzing and evaluating systemwide impacts. The algorithm uses dynamic programming to generate fuel-efficient vehicle trajectories in the vicinity of traffic signalized intersections by controlling the vehicle variable limiting speed (VLS) to minimize fuel consumption while maintaining safe car-following behavior. Ecospeed control uses constraints upstream and downstream of the intersection to generate a longitudinal VLS function. Multiple simulations for levels of congestion (volume-to-capacity ratios) and levels of market penetration suggest that the average fuel savings per vehicle are in the range of 26% when all vehicles are equipped with such systems. Similarly, the average reduction in total delay reaches 65% within the vicinity of traffic signalized intersections. The results also demonstrate that at levels of market penetration less than 50%, the system does not produce systemwide fuel and delay savings. In addition, the savings are higher for lower levels of traffic congestion.

Analysis of Cybersecurity Threats on Connected Vehicles with CACC Based on an Improved Car-Following Model

CICTP 2018 ◽  
2018 ◽  
Author(s):  
Lei Huang ◽  
Xinkai Wu ◽  
Hongmao Qin ◽  
Pengcheng Wang ◽  
Guizhen Yu
Keyword(s):  
Connected Vehicles ◽  
Car Following ◽  
Car Following Model

Modeling and Evaluating Traffic Flow at Sag Curves When Imposing Variable Speed Limits on Connected Vehicles

2018 ◽  
Vol 2672 (20) ◽  
pp. 193-202 ◽  
Author(s):  
Reza Vatani Nezafat ◽  
Ehsan Beheshtitabar ◽  
Mecit Cetin ◽  
Elizabeth Williams ◽  
George F. List
Keyword(s):  
Traffic Flow ◽  
Optimization Method ◽  
Driver Model ◽  
Traffic Density ◽  
Connected Vehicles ◽  
Market Penetration ◽  
Car Following ◽  
Simulation Based ◽  
Variable Speed Limits ◽  
Car Following Model

Sag curves, road segments where the gradient changes from downwards to upwards, generally reduce the roadway capacity and cause congestion. This results from a change in longitudinal driving behavior when entering a sag curve as drivers tend to reduce speeds or increase headways as vehicles reach the uphill section. In this research, a control strategy is investigated through manipulating the speed of connected vehicles (CVs) in the upstream of the sag curve to avoid the formation of bottlenecks caused by the change in driver behavior. Traffic flow along a sag curve is simulated using the intelligent driver model (IDM), a time-continuous car-following model. A feedback control algorithm is developed for adjusting the approach speeds of CVs so that the throughput of the sag curve is maximized. Depending on the traffic density at the sag curve, adjustments are made for the speeds of the CVs. A simulation-based optimization method using a meta-heuristic algorithm is employed to determine the critical control parameters. Various market penetration rates for CVs are also considered in the simulations. Even at relatively low market penetration rates (e.g., 5–10%), significant improvements in travel times and throughput are observed.

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