Analysis of morning commuting behavior under mixed driving environment

ZHU Ling, LU Xiaoshan

Systems Engineering - Theory & Practice ›› 2021, Vol. 41 ›› Issue (7) : 1819-1827.

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Systems Engineering - Theory & Practice ›› 2021, Vol. 41 ›› Issue (7) : 1819-1827. DOI: 10.12011/SETP2019-2554

Analysis of morning commuting behavior under mixed driving environment

  • ZHU Ling, LU Xiaoshan
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Abstract

This paper studies the morning commuting behavior in a bottleneck-constrained corridor when the autonomous and regular vehicles coexist, considering the behavioral differences between them in both driving and parking simultaneously. The following three cases are considered: 1) autonomous vehicles only improve the road capacity; 2) autonomous vehicles only reduce the value of time VOT; 3) both affect the road capacity and the VOT. All possible equilibrium travel patterns in each case are analyzed, and it is proved that commuters with the later travel mode have a lower equilibrium travel cost. Finally, numerical examples are presented to illustrate the effects of the autonomous vehicle penetration on travel costs, delay costs and empty run costs, and the impacts of changes in road capacity and VOT on the total system cost.

Key words

autonomous vehicle / bottleneck model / travel mode / heterogeneity

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ZHU Ling , LU Xiaoshan. Analysis of morning commuting behavior under mixed driving environment. Systems Engineering - Theory & Practice, 2021, 41(7): 1819-1827 https://doi.org/10.12011/SETP2019-2554

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Funding

National Natural Science Foundation of China (71401050); Fundamental Research Funds for the Central Universities (JS2019HGXJ0041)
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