Traffic Equilibrium for Mixed Traffic Flows of Human-Driven Vehicles and Connected and Autonomous Vehicles in Transportation Networks under Tradable Credit Scheme
Joint Authors
Hu, Xiaojian
Lu, Jian
Zhang, Fang
Source
Journal of Advanced Transportation
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-02
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
In this paper, the traffic equilibriums for mixed traffic flows of human-driven vehicles (HDV) and connected and autonomous vehicles (CAV) under a tradable credit scheme (TCS) are established and formulated as two variational inequality (VI) problems with exogenous and endogenous CAV penetration rate, respectively.
A modified Lagrangian dual (MLD) method embedded with a revised Smith’s route-swapping (RSRS) algorithm is proposed to solve the problems.
Based on the numerical analysis, the impacts of CAV penetration and the extra expense of using a CAV on network performance are investigated.
A novel driveway management, autonomous vehicle/credit charge (AVCC) link, is put forward to improve the efficiency of TCS.
Under the TCS with exogenous CAV penetration rate, a logit-based model is applied to describe the stochastic user equilibrium for mixed traffic flow.
It is found that the penetration of CAV gives rise to a better network performance and it can be further improved by the deployment of AVCC link.
Under the TCS with endogenous penetration rate, a nested-logit model is applied to describe travelers’ choices of vehicle types and routes.
It is found that the deployment of AVCC links can slow down the decline rate of CAV penetration with increasing expense and thus ensure a lower average travel time for CAVs.
In both cases, the deployment of AVCC links can stimulate credit trading and drop down its unit price.
American Psychological Association (APA)
Zhang, Fang& Lu, Jian& Hu, Xiaojian. 2020. Traffic Equilibrium for Mixed Traffic Flows of Human-Driven Vehicles and Connected and Autonomous Vehicles in Transportation Networks under Tradable Credit Scheme. Journal of Advanced Transportation،Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1176121
Modern Language Association (MLA)
Zhang, Fang…[et al.]. Traffic Equilibrium for Mixed Traffic Flows of Human-Driven Vehicles and Connected and Autonomous Vehicles in Transportation Networks under Tradable Credit Scheme. Journal of Advanced Transportation No. 2020 (2020), pp.1-18.
https://search.emarefa.net/detail/BIM-1176121
American Medical Association (AMA)
Zhang, Fang& Lu, Jian& Hu, Xiaojian. Traffic Equilibrium for Mixed Traffic Flows of Human-Driven Vehicles and Connected and Autonomous Vehicles in Transportation Networks under Tradable Credit Scheme. Journal of Advanced Transportation. 2020. Vol. 2020, no. 2020, pp.1-18.
https://search.emarefa.net/detail/BIM-1176121
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1176121