Decision Strategy Models of Merge Influence Area for Outside Vehicles Based on Vehicle-vehicle Communication

Authors

Xiaofang Yang, 1. Department of Transportation Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China;;
Guo Qian, 2. Chongqing Zhongshe Engineering Design Co. Ltd., Chongqing 400000, China;;
Fu Qiang, 3. College of Surveying and Geo-informatics, Tongji University, Shanghai 200092, China;

Abstract

Abstract: In the on-ramp merging area, appropriate driving decisions should be made by observing the running environment and estimating the driving characteristics of the surrounding vehicles, which usually led to the inordinate traffic flow. To solve this problem, the decision strategy models were built for vehicles in the on-ramp merging area, and the operating rules for the new decision strategy were updated. Furthermore, the space-time trajectory, the lane changing in merging and upstream area and the average speed in the two different circumstances were analyzed by numerical experiments. The results show that in the condition of vehicle-vehicle communication environment, where there are a few lane changing phenomena; the average speed increases by 32.4% maximally, and in different vehicle input circumstance the speed fluctuation decreases by 76.7%, the traffic capacity increases by 13.3%.

Recommended Citation

Yang, Xiaofang; Qian, Guo; and Qiang, Fu (2020) "Decision Strategy Models of Merge Influence Area for Outside Vehicles Based on Vehicle-vehicle Communication," Journal of System Simulation: Vol. 27: Iss. 5, Article 27.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol27/iss5/27

First Page

1112

Revised Date

2014-10-23

DOI Link

https://doi.org/

Last Page

1119

CLC

U495

Recommended Citation

Yang Xiaofang, Guo Qian, Fu Qiang. Decision Strategy Models of Merge Influence Area for Outside Vehicles Based on Vehicle-vehicle Communication[J]. Journal of System Simulation, 2015, 27(5): 1112-1119.