arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1901.07151cs.HC
收藏

基于虚拟沉浸现实的互联自主车辆环境行为响应分析

Virtual Immersive Reality based Analysis of Behavioral Responses in Connected and Autonomous Vehicle Environment

Shadi Djavadian, Bilal Farooq, Rafael Vasquez, Grace Yip

摘要:

最近,我们使用智能交叉口和5级CAV网络开发了一个动态分布式端到端车辆路由系统(E2ECAV)(Djavadian & Farooq,2018)。多伦多市中心网络的案例研究表明,E2ECAV有能力最大限度地提高吞吐量,并减少旅行时间高达40%。然而,这些新技术的效率取决于用户是否接受这些技术,以及他们是否愿意将全部或部分控制权交给CAV。在这项研究中,一个既定的偏好实验室实验设计采用虚拟现实沉浸式环境(VIRE)驾驶模拟器,以评估驾驶员的行为反应E2 ECAV。目的是调查在什么条件下驾驶员更愿意适应。研究结果表明,控制点、拥挤程度和多任务能力等因素对网络流量有显著影响。

英文摘要:

Recently, we developed a dynamic distributed end-to-end vehicle routing system (E2ECAV) using a network of intelligent intersections and level 5 CAVs (Djavadian & Farooq, 2018). The case study of the downtown Toronto Network showed that E2ECAV has the ability to maximize throughput and reduce travel time up to 40%. However, the efficiency of these new technologies relies on the acceptance of users in adapting to them and their willingness to give control fully or partially to CAVs. In this study a stated preference laboratory experiment is designed employing Virtual Reality Immersive Environment (VIRE) driving simulator to evaluate the behavioral response of drivers to E2ECAV. The aim is to investigate under what conditions drivers are more willing to adapt. The results show that factors such as locus of control, congestion level and ability to multi-task have significant impact.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑