Design and Control of Transportation Networks in the Presence of Autonomous Vehicles

自动驾驶车辆中交通网络的设计和控制

• 批准号: RGPIN-2021-03640
• 负责人: Nourinejad, Mehdi
• 金额: $ 2.62万
• 依托单位: York University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=758068
• 关键词: Design; Control; Transportation; Networks; Presence

Self-Driving Cars, or autonomous vehicles, will profoundly affect transportation infrastructure and travel behavior. The onboard automation technologies and the self-driving capability can lower emissions, increase traffic throughput, and create new ways of sharing vehicles. The private sector is pursuing vehicle automation at a fast pace; almost all car manufacturers now have an automation division. The public sector is also seeking sustainable autonomous vehicle-oriented policies that improve social welfare. As large-scale use of autonomous cars is expected in the next 10 years, the characteristics of autonomous vehicles and their inherent potentials call for new theories to understand their impacts, and decision support systems to exploit their benefits. The long-term goal of the proposed research is to develop a framework for autonomous vehicles to assess their impacts, design new mobility services, and provide decision-making support for sustainable policies. The following short-term objectives are the building blocks necessary to achieve the long-term goal: 1)Develop advanced autonomous vehicle traffic flow analysis tools Autonomous vehicles are equipped with advanced communication sensors allowing them to share traffic information and drive more safely and smoothly. Advanced traffic flow models are required as a base for sustainable policies that strategically promote autonomous vehicles. 2)Create and evaluate parking designs for autonomous vehicles Autonomous vehicles can reduce parking footprint. They can freely move in parking lots in driverless mode allowing to fit more vehicles. The proposed research will develop parking infrastructure designs for autonomous vehicles. 3)Design and manage emerging mobility services Autonomous vehicles will substantially contribute to the sharing economy because they can be relocated between multiple users in driverless mode. The proposed research will investigate the design and management of these mobility services by solving complex problems such as optimal vehicle relocation and pooling strategies. 4)Use autonomous vehicles to alleviate social inequities and improve emergency response Autonomous vehicles will provide affordable transportation to access-restricted communities because they do not require a human driver. They also have unprecedented potential in emergency situations such as the recent COVID-19 pandemic. New policies and management operations can reduce social inequities and improve emergency response using autonomous vehicles. This research program will train HQP to promote analytical, technical, and communications skills. The outputs will aid Canadian governing agencies to prepare for autonomous vehicles by making informed decisions about the transportation infrastructure and ideal incentive programs. It will also provide decision-making tools for the private sector in design and management of emerging mobility services.

自动驾驶汽车或自动驾驶汽车将深刻影响交通基础设施和出行行为。车载自动化技术和自动驾驶能力可以降低排放，增加交通吞吐量，并创造共享车辆的新方式。私营部门正在快速追求车辆自动化;几乎所有汽车制造商现在都有自动化部门。公共部门也在寻求可持续的以自动驾驶汽车为导向的政策，以改善社会福利。随着自动汽车在未来10年内的大规模使用，自动驾驶汽车的特点及其内在潜力需要新的理论来理解其影响，并需要决策支持系统来利用其好处。拟议研究的长期目标是为自动驾驶汽车开发一个框架，以评估其影响，设计新的移动服务，并为可持续政策提供决策支持。以下短期目标是实现长期目标所必需的基石：1）开发先进的自动驾驶汽车交通流分析工具自动驾驶汽车配备了先进的通信传感器，使它们能够共享交通信息，并更安全，更平稳地驾驶。需要先进的交通流模型作为战略性推广自动驾驶汽车的可持续政策的基础。 2)创建和评估自动驾驶车辆的停车场设计自动驾驶车辆可以减少停车场占地面积。它们可以在无人驾驶模式下在停车场自由移动，允许容纳更多车辆。拟议的研究将开发自动驾驶汽车的停车基础设施设计。 3)设计和管理新兴的移动服务自动驾驶汽车将大大有助于共享经济，因为它们可以在无人驾驶模式下在多个用户之间重新定位。拟议的研究将通过解决复杂的问题，如最佳车辆重新安置和合用策略，调查这些移动服务的设计和管理。 4)使用自动驾驶汽车缓解社会不平等并改善应急响应自动驾驶汽车将为交通受限的社区提供负担得起的交通工具，因为它们不需要人类驾驶员。它们在紧急情况下也具有前所未有的潜力，例如最近的COVID-19大流行。新的政策和管理操作可以减少社会不公平，并改善使用自动驾驶汽车的应急响应。 该研究计划将培训HQP，以提高分析，技术和沟通技能。这些成果将帮助加拿大管理机构通过对交通基础设施和理想的激励计划做出明智的决策，为自动驾驶汽车做好准备。它还将为私营部门设计和管理新兴的流动服务提供决策工具。