The effects of vehicular gap changes with memory on traffic flow in cooperative adaptive cruise control strategy

Shaowei Yu and Zhongke Shi

Physica A: Statistical Mechanics and its Applications, 2015, vol. 428, issue C, 206-223

Abstract: To evaluate the impacts of new influence factor in cooperative adaptive cruise control strategy on the dynamic characteristics of traffic flow, an improved cooperative car-following model considering multiple vehicular gap changes with memory is developed to study the influences of multiple vehicular gap changes with memory on each car’s speed, acceleration and relative distance. Some numerical simulations are carried out and the results show that considering multiple vehicular gap changes with memory in designing the cooperative adaptive cruise control strategy can improve the stability of traffic flow and reduce the accidental probability.

Keywords: Cooperative adaptive cruise control strategy; Car-following model; Multiple vehicular gap changes with memory; The dynamic characteristics of traffic flow (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (19)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:428:y:2015:i:c:p:206-223

DOI: 10.1016/j.physa.2015.01.064

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