Optimization strategy for connected automated vehicles to reduce energy consumption on freeway in rainy weather

Qin, Yanyan; Xiao, Tengfei; Wang, Hua

doi:10.1016/j.energy.2024.131204

Energy

2024

DOI: 10.1016/j.energy.2024.131204

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Optimization strategy for connected automated vehicles to reduce energy consumption on freeway in rainy weather

Yanyan Qin,

Tengfei Xiao,

Hua Wang

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2024

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Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles

Qin,

Liu,

Xie

et al. 2024

Urban Lifeline

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Traffic flow mobility on expressway plays an important role in urban development. With the emergent technologies, connected vehicles, including both connected automated vehicles (CAVs) and connected regular vehicles (CRVs), are equipped with connectivity features to improve efficiency of urban expressway in a mixed traffic scenario. Existing research indicates that without targeted management, the integration of CAVs and CRVs into regular vehicles (RVs) traffic can lead to a series of congestion issues. A potential solution lies in the implementation of dedicated lanes, each designated for specific vehicle types, which could alleviate traffic flow complications. Therefore, this paper proposes a dynamic optimal lane management strategy for multi-lane mixed traffic urban expressway, aimed at maximizing the whole discharge flow. To begin with, we present an analytical method to mathematically derive discharge flow of each lane type including mixed traffic lane, CAV/CRV dedicated lane, and RV dedicated lane, from the perspective of both traffic demand and traffic capacity. Then, taking a three-lane mixed traffic urban expressway as an application, we conduct a numerical analysis of the dynamic optimal lane management strategy, based on comparisons among eight distinct strategies, under varying factors of traffic demands, penetration rates of CAVs and CRVs, and allocation proportions of vehicles upstream assigned to mixed traffic lanes. The results validate the effectiveness of the analytical method proposed for lane management strategies. It also indicates that the aforementioned system factors have significant impacts on the dynamic optimal lane management strategy.

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Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles

Qin,

Liu,

Xie

et al. 2024

Urban Lifeline

View full text Add to dashboard Cite

show abstract

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Optimization strategy for connected automated vehicles to reduce energy consumption on freeway in rainy weather

Cited by 1 publication

References 41 publications

Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles

Dynamic optimal lane management strategy for multi-lane urban expressway with bi-class connected vehicles

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