Influence of CAVs platoon characteristics on fundamental diagram of mixed traffic flow

Jiang, Yangsheng; Zhu, Fangyi; Gu, Qiufan; Wu, Yunxia; Wen, Xuguang; Yao, Zhihong

doi:10.1016/j.physa.2023.128906

Cited by 14 publications

(2 citation statements)

References 33 publications

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“…The findings indicate that larger platoon sizes can enhance traffic capacity but may negatively impact traffic flow stability; therefore, it is suggested to form platoons of sizes four to six vehicles. In another study, Yangsheng et al [ 7 ] explored how the characteristics of CAV platoons influence the fundamental diagram in mixed traffic conditions. They devised platoon intensity for CAVs to gauge the degree of clustering among these vehicles.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Unlocking Mutual Gains—An Experimental Study on Collaborative Autonomous Driving in Urban Environment

Malik,

Khan,

El-Sayed

et al. 2023

Sensors

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Convoy driving, a specialized form of collaborative autonomous driving, offers a promising solution to the multifaceted challenges that transportation systems face, including traffic congestion, pollutant emissions, and the coexistence of connected autonomous vehicles (CAVs) and human-driven vehicles on the road, resulting in mixed traffic flow. While extensive research has focused on the collective societal benefits of convoy driving, such as safety and comfort, one critical aspect that has been overlooked is the willingness of individual vehicles to participate in convoy formations. While the collective benefits are evident, individual vehicles may not readily embrace this paradigm shift without explicit tangible benefits and incentives to motivate them. Moreover, the objective of convoy driving is not solely to deliver societal benefits but also to provide incentives and reduce costs at the individual level. Therefore, this research bridges this gap by designing and modeling the societal benefits, including traffic flow optimization and pollutant emissions, and individual-level incentives necessary to promote convoy driving. We model a fundamental diagram of mixed traffic flow, considering various factors such as CAV penetration rates, coalition intensity, and coalition sizes to investigate their relationships and their impact on traffic flow. Furthermore, we model the collaborative convoy driving problem using the coalitional game framework and propose a novel utility function encompassing incentives like car insurance discounts, traffic fine reductions, and toll discounts to encourage vehicle participation in convoys. Our experimental findings emphasize the need to strike a balance between CAV penetration rate, coalition intensity, size, and speed to realize the benefits of convoy driving at both collective and individual levels. This research aims to align the interests of road authorities seeking sustainable transportation systems and individual vehicle owners desiring tangible benefits, envisioning a future where convoy driving becomes a mutually beneficial solution.

show abstract

Section: Related Workmentioning

confidence: 99%

“…The combined probability distribution of both CAV leaders can be computed by combining Equations ( 5) and ( 6) as in Equation (7).…”

Section: Probability Distribution Of Car-following Modesmentioning

confidence: 99%

Unlocking Mutual Gains—An Experimental Study on Collaborative Autonomous Driving in Urban Environment

Malik,

Khan,

El-Sayed

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

Fundamental diagram of mixed traffic flow considering time lags, platooning intensity, and the degradation of connected automated vehicles

Li,

Sun,

et al. 2023

Physica A: Statistical Mechanics and its Applications

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A new control strategy of CAVs platoon for mitigating traffic oscillation in a two-lane highway

Jiang,

Cong,

Wang

et al. 2023

Physica A: Statistical Mechanics and its Applications

View full text Add to dashboard Cite

Influence of CAVs platoon characteristics on fundamental diagram of mixed traffic flow

Cited by 14 publications

References 33 publications

Unlocking Mutual Gains—An Experimental Study on Collaborative Autonomous Driving in Urban Environment

Unlocking Mutual Gains—An Experimental Study on Collaborative Autonomous Driving in Urban Environment

Fundamental diagram of mixed traffic flow considering time lags, platooning intensity, and the degradation of connected automated vehicles

A new control strategy of CAVs platoon for mitigating traffic oscillation in a two-lane highway

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