An Extended Car-Following Model Considering the Drivers’ Characteristics under a V2V Communication Environment

Shuaiyang Jiao, Shengrui Zhang, Bei Zhou, Zixuan Zhang and Liyuan Xue
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Shuaiyang Jiao: School of Highway, Chang’an University, Xi’an 710064, China
Shengrui Zhang: School of Highway, Chang’an University, Xi’an 710064, China
Bei Zhou: School of Highway, Chang’an University, Xi’an 710064, China
Zixuan Zhang: School of Highway, Chang’an University, Xi’an 710064, China
Liyuan Xue: School of Civil and Transportation Engineering, Henan University of Urban Construction, Pingdingshan 467036, China

Sustainability, 2020, vol. 12, issue 4, 1-18

Abstract: In intelligent transportation systems, vehicles can obtain more information, and the interactivity between vehicles can be improved. Therefore, it is necessary to study car-following behavior during the introduction of intelligent traffic information technology. To study the impacts of drivers’ characteristics on the dynamic characteristics of car-following behavior in a vehicle-to-vehicle (V2V) communication environment, we first analyzed the relationship between drivers’ characteristics and the following car’s optimal velocity using vehicle trajectory data via the grey relational analysis method and then presented a new optimal velocity function (OVF). The boundary conditions of the new OVF were analyzed theoretically, and the results showed that the new OVF can better describe drivers’ characteristics than the traditional OVF. Subsequently, we proposed an extended car-following model by combining V2V communication based on the new OVF and previous car-following models. Finally, numerical simulations were carried out to explore the effect of drivers’ characteristics on car-following behavior and fuel economy of vehicles, and the results indicated that the proposed model can improve vehicles’ mobility, safety, fuel consumption, and emissions in different traffic scenarios. In conclusion, the performance of traffic flow was improved by taking drivers’ characteristics into account under the V2V communication situation for car-following theory.

Keywords: traffic flow; car-following model; optimal velocity; drivers’ characteristics; numerical simulation (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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