Preferences for shared autonomous vehicles

Krueger, Rico; Rashidi, Taha H.; Rose, John M.

doi:10.1016/j.trc.2016.06.015

Cited by 684 publications

(440 citation statements)

References 22 publications

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“…(2) how does this new mode operate in China? (3) (Fig. 1), we found that China has notable advantage in R&D and marketing of new-energy cars.…”

Section: Introductionmentioning

confidence: 77%

“…4. Therefore, the following four kinds of users' demands are satisfied: (1) government officers; (2) office workers; (3) users who are in badly need of cars; (4) specific passengers (people with no car, new drivers, liberalists, environmentalists) [3] . The ride-sharing mode vs. the time-sharing lease mode.…”

Section: Fig 2 China's New-energy Car Lease Industry Chainmentioning

confidence: 99%

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Study on the Time-sharing Lease Mode of New-energy Cars in China

Niu¹,

Xu²

2016

Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)

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Abstract. Along with the ever-increasing R&D of new-energy cars, the embedding of autonomous vehicle operation system, and the application of Big Data and time-sharing technology, the time-sharing lease mode of new-energy cars rises in China. This new model is helpful to promote the efficient car utilization and environmental protection. Through the analysis of objective conditions, industry chain and service platform operating system of new-energy car time-sharing lease mode in China, this paper reveals the popularization value of this new mode and the promising future in China.

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“…(2) how does this new mode operate in China? (3) (Fig. 1), we found that China has notable advantage in R&D and marketing of new-energy cars.…”

Section: Introductionmentioning

confidence: 77%

Section: Fig 2 China's New-energy Car Lease Industry Chainmentioning

confidence: 99%

Study on the Time-sharing Lease Mode of New-energy Cars in China

Niu¹,

Xu²

2016

Proceedings of the 2016 5th International Conference on Sustainable Energy and Environment Engineering (ICSEEE 2016)

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“…Within the functional lifetime of much of today's road infrastructure, vehicle automation is expected to impact a range of important aspects of the transportation system, including traffic operations [1][2][3], safety [4], public transportation networks [5], design of arterial streets, limitedaccess facilities, parking facilities [6][7][8], activities performed while traveling [9], and possibly the dominance of the private automobile ownership business model [10,11].…”

Section: Introductionmentioning

confidence: 99%

Protected Turning Movements of Noncooperative Automated Vehicles: Geometrics, Trajectories, and Saturation Flow

Liu

Lai

Kong

et al. 2018

Journal of Advanced Transportation

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This study is the first to quantify throughput (saturation flow) of noncooperative automated vehicles when performing turning maneuvers, which are critical bottlenecks in arterial road networks. We first develop a constrained optimization problem based on AVs' kinematic behavior during a protected signal phase which considers both ABS-enabled and wheels-locked braking, as well as avoiding encroaching into oncoming traffic or past the edge-of-receiving-lane. We analyze noncooperative ("defensive") behavior, in keeping with the Assured Clear Distance Ahead legal standard to which human drivers are held and AVs will likely also be for the foreseeable future. We demonstrate that, under plausible behavioral parameters, AVs appear likely to have positive impacts on throughput of turning traffic streams at intersections, in the range of +0.2% (under the most conservative circumstances) to +43% for a typical turning maneuver. We demonstrate that the primary mechanism of impact of turning radius is its effect on speed, which is likely to be constrained by passenger comfort. We show heterogeneous per-lane throughput in the case of "double turn lanes." Finally, we demonstrate limited sensitivity to crash-risk criterion, with a 4% difference arising from a change from 1 in 10,000 to 1 in 100,000,000. The paper concludes with a brief discussion of policy implications and future research needs.

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“…IoT will also manifest in connected mobility with cars and other vehicles communicating between each other in real time and with road/rail infrastructures and traffic management centres. Naturally contemplating about the future of autonomous mobility is beyond this editorial but it should also be noted as a potential source for large scale changes in lifestyles, time use, activity participation and possibly even urban form (Fagnant and Kockelman 2014;Krueger et al 2016;Shladover 2017;Thomopoulos and Givoni 2015).…”

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confidence: 99%

ICT, activity space–time and mobility: new insights, new models, new methodologies

Ben-Elia

Zhu

2018

Transportation

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Over three decades have passed since research on the complex interrelationships between Information and Communication Technologies (ICT) and travel behaviour began. Since then much has changed. Broadly speaking researchers have been chasing a complex and bi-directional moving target with both the development of digital technologies (what we refer to as three Internet generations) and changes to human behaviours coinciding side by side. As both transportation technologies and ICT contribute to remote activities, the impact of ICT on individuals' activities and related travel behaviour have been discussed. It is not surprising because untangling this issue is the basis of understanding travel behaviour in information age. In the mid 80 s and early 90 s scholars were trying to disentangle how telecommunications (as they were then called) would likely influence activity and travel patterns and an initial set of hypotheses were established by Salomon and Mokhtarian (Mokhtarian 1990;Salomon 1986). According to their framework telecommunications could substitute, complement, modify travel (route, mode, timing or destination) or have no effect at all. This simple and direct framework fitted well to the rather simple information technology of the time. The 1st Internet generation can traced to the opening of the World Wide Web (www) initially as a unidirectional protocol for passing on information content from producers to the users on sedentary end devices (desktops). Research focused mainly on the substitution/complementary relationships between virtual and physical activities especially e-working (teleworking/telecommuting-Mokhtarian and Salomon 1994) and e-shopping and how they affect the demand for travel (Cao 2012;Zhai et al. 2017). Another strand of research involved the influence of information on modification of travel choices based on the abundance of travel planners available on the web

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Preferences for shared autonomous vehicles

Cited by 684 publications

References 22 publications

Study on the Time-sharing Lease Mode of New-energy Cars in China

Study on the Time-sharing Lease Mode of New-energy Cars in China

Protected Turning Movements of Noncooperative Automated Vehicles: Geometrics, Trajectories, and Saturation Flow

ICT, activity space–time and mobility: new insights, new models, new methodologies

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