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

Li, Ruijie; Sun, Siyuan; Wu, Yunxia; Hao, Huijun; Wen, Xuguang; Yao, Zhihong

doi:10.1016/j.physa.2023.129130

Cited by 4 publications

(1 citation statement)

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“…Consequently, when the maximum platoon size surpassed the threshold platoon size, the fuel consumption and emissions showed no sensitivity to changes in the CAV platoon size. Li et al [ 9 ] conducted research to explore how CAVs influence the attributes of the mixed traffic flow by introducing a fundamental diagram that factors in time delays, platooning intensity, and the deterioration of CAVs. Through a combination of sensitivity analysis and simulation results, their findings indicated that as the proportion of CAVs in the mixed traffic increased, both the maximum traffic flow and the optimal traffic density of mixed traffic flow experienced gradual increments.…”

Section: Related Workmentioning

confidence: 99%

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.

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Section: Related Workmentioning

confidence: 99%