Simulation Analysis on Optimal Merging Control of Connected Vehicles for Minimizing Travel Time
This study examined a cooperative merging control methodology for connected vehicles to optimize traffic flow without considering a traffic priority/non-priority at intersections. A cellular automata microsimulation was constructed to examine the methodology. It was used for simulating the traffic c...
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Veröffentlicht in: | International journal of ITS research 2020, Vol.18 (1), p.65-76 |
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creator | Tashiro, Mutsumi Motoyama, Hiroki Ichioka, Yuki Miwa, Tomio Morikawa, Takayuki |
description | This study examined a cooperative merging control methodology for connected vehicles to optimize traffic flow without considering a traffic priority/non-priority at intersections. A cellular automata microsimulation was constructed to examine the methodology. It was used for simulating the traffic condition and for predicting a future conflict between two vehicles at a T-junction or cross-junction. Optimum vehicle control patterns of the two vehicles for avoiding the conflict and minimizing the total travel time of all vehicles on the road network was examined. Simulation results demonstrate that the proposed methodology can reduce total travel time and that the control patterns become more diverse as the traffic volume increases. |
doi_str_mv | 10.1007/s13177-018-0172-8 |
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subjects | Automotive Engineering Cellular automata Civil Engineering Computer Imaging Cooperative control Electrical Engineering Engineering Intersections Methodology Optimization Pattern Recognition and Graphics Roads Robotics and Automation Simulation Traffic conflicts Traffic flow Traffic volume Travel time User Interfaces and Human Computer Interaction Vehicles Vision |
title | Simulation Analysis on Optimal Merging Control of Connected Vehicles for Minimizing Travel Time |
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