Will autonomous vehicles change auto commuters’ value of travel time?

Zhong, Haotian; Li, Wei; Burris, Mark; Talebpour, Alireza; Sinha, Kumares C.

doi:10.1016/j.trd.2020.102303

Cited by 89 publications

(43 citation statements)

References 43 publications

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“…, Auld et al, 2017 and empirical works on mode choices in the presence towards AVs (e.g. Yap et al, 2016, Zhong et al, 2020 have provided early insights into the potential impact of vehicle automation on travel demand to date.…”

Section: Value Of Travel Time Savings: Potential Differences Between Autonomous Driving and Currently Available Transport Modesmentioning

confidence: 99%

“…However, contrary to the vast literature on 'traditional' transport modes, few empirical studies have studied heterogeneity in the preference for travel time on AVs. These studies do not relate VTTS differences to individual characteristics but mostly to the vehicle concept (privately-owned AV, shared AV, or first/last mile mobility solution; , trip purpose and/or trip length , vehicle equipment (office vs. leisure interior; , or spatial characteristics (suburban, urban and rural areas; Zhong et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Impact of trust and travel experiences on the value of travel time savings for autonomous driving

Kolarova

Cherchi

2021

Transportation Research Part C: Emerging Technologies

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Section: Value Of Travel Time Savings: Potential Differences Between Autonomous Driving and Currently Available Transport Modesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impact of trust and travel experiences on the value of travel time savings for autonomous driving

Kolarova

Cherchi

2021

Transportation Research Part C: Emerging Technologies

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“…e major factors limiting the commercialization of AVs include safety [90], cost [17,91], and public interests [92][93][94][95][96][97], among which safety is the most paramount issues that can significantly affect the public attitude towards the emerging AV technology.…”

Section: Customer Acceptancementioning

confidence: 99%

Safety of Autonomous Vehicles

Wang

Zhang

Huang

et al. 2020

Journal of Advanced Transportation

119

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Autonomous vehicle (AV) is regarded as the ultimate solution to future automotive engineering; however, safety still remains the key challenge for the development and commercialization of the AVs. Therefore, a comprehensive understanding of the development status of AVs and reported accidents is becoming urgent. In this article, the levels of automation are reviewed according to the role of the automated system in the autonomous driving process, which will affect the frequency of the disengagements and accidents when driving in autonomous modes. Additionally, the public on-road AV accident reports are statistically analyzed. The results show that over 3.7 million miles have been tested for AVs by various manufacturers from 2014 to 2018. The AVs are frequently taken over by drivers if they deem necessary, and the disengagement frequency varies significantly from 2 × 10−4 to 3 disengagements per mile for different manufacturers. In addition, 128 accidents in 2014–2018 are studied, and about 63% of the total accidents are caused in autonomous mode. A small fraction of the total accidents (∼6%) is directly related to the AVs, while 94% of the accidents are passively initiated by the other parties, including pedestrians, cyclists, motorcycles, and conventional vehicles. These safety risks identified during on-road testing, represented by disengagements and actual accidents, indicate that the passive accidents which are caused by other road users are the majority. The capability of AVs to alert and avoid safety risks caused by the other parties and to make safe decisions to prevent possible fatal accidents would significantly improve the safety of AVs. Practical applications. This literature review summarizes the safety-related issues for AVs by theoretical analysis of the AV systems and statistical investigation of the disengagement and accident reports for on-road testing, and the findings will help inform future research efforts for AV developments.

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“…The value of travel time (VTT), which is also the willingness to pay to save on one's travel time, is likely to change in a CAV environment. Implementation of CAVs is predicted to move car drivers from human-driven vehicles to autonomous vehicles (AV), assuming that drivers would enjoy the free time in vehicle, reducing their VTTs (3)(4)(5)(6).…”

Section: Value Of Time and Willingness To Paymentioning

confidence: 99%

Performance Analyses of Information-Based Managed Lane Choice Decisions in a Connected Vehicle Environment

Guo

Yong-xin

Ashraf

et al. 2020

Transportation Research Record: Journal of the Transportation R

Self Cite

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Connected vehicle (CV) technology can connect, communicate, and share information between vehicles, infrastructure, and other traffic management systems. Recent research has examined and promoted CV and connected automated vehicle (CAV) technology on managed lane systems to increase capacity and reduce congestion, as managed lane systems could be equipped with advanced infrastructure relatively quickly. However, the effect on travel considering, information-based managed lane choice decisions in a CV environment is not clear. Therefore, this research analyzed the potential effects on a managed lane system with connected vehicles considering several travel behavior elements, including drivers’ willingness to reroute and their choice of managed lanes based on individual travel time savings. This study analyzed the potential effects on a managed lane system by assigning different market penetration rates (0%, 10%, 50%, 100%) of CVs and informing CV drivers about travel time savings for a 10-mi stretch at 5-min intervals. How the traffic performance measurements (i.e., throughput, travel time saving, average speed and average travel time) vary under different market penetration rates of CVs is then investigated. Two major conclusions are reached: (i) although information exchange was assumed to be instantaneous between vehicles and the system, there existed a response time (or time delay) in the macroscopic traffic reflection; (ii) managed lane use may decrease, when travel time information becomes available, since drivers perceive they are saving more travel time than they actually do save.

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Will autonomous vehicles change auto commuters’ value of travel time?

Cited by 89 publications

References 43 publications

Impact of trust and travel experiences on the value of travel time savings for autonomous driving

Impact of trust and travel experiences on the value of travel time savings for autonomous driving

Safety of Autonomous Vehicles

Performance Analyses of Information-Based Managed Lane Choice Decisions in a Connected Vehicle Environment

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