Distributed traffic management system for intelligent vehicles: operationalization and testing

智能车辆分布式交通管理系统：运营和测试

• 批准号: 545157-2019
• 负责人: Farooq, Bilal
• 金额: $ 8.96万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Idea to Innovation
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693343
• 关键词: Distributed; traffic; management; system; intelligent

Intelligent Vehicles (IVs) via connectivity and automation present a unique opportunity to address key urban issues including congestion, long travel-times, greenhouse gas (GHG) emissions, and pollution. Earlier, we proposed a distributed traffic management system (Patent: 62/865,725) that takes advantage of IV technology to address these issues. It proposed a network based solution that is not dependent on users or crowdsourcing and have been shown in simulation to reduce congestion, travel times, GHG, and pollution while improving the throughput of downtown Toronto road network. In this project, we operationalize the necessary hardware and software stack and analyze the system on a real testbed in Hamilton, Ontario. The project will enable us to take the research developed in our lab, create a real proof-of-concept implementation, and demonstrate its performance in terms of the above mentioned issues. We will also evaluate the scalability, robustness, and fault-tolerance of the system. This project will result in very high value for Canada in terms of intellectual property, economic competitiveness, innovative technologies, climate change, and job creation.

通过连接和自动化的智能车辆(IV)提供了一个独特的机会来解决关键的城市问题，包括拥堵、长时间旅行、温室气体(GHG)排放和污染。早些时候，我们提出了一个分布式交通管理系统(专利：62/865,725)，它利用IV技术来解决这些问题。它提出了一种基于网络的解决方案，该解决方案不依赖于用户或众包，并已在模拟中显示，以减少拥堵、旅行时间、温室气体和污染，同时提高多伦多市中心道路网络的吞吐量。在这个项目中，我们运行了必要的硬件和软件堆栈，并在安大略省汉密尔顿的一个真实试验台上分析了系统。该项目将使我们能够利用我们实验室开发的研究，创建一个真正的概念验证实现，并在上述问题方面展示其性能。我们还将评估系统的可伸缩性、健壮性和容错性。该项目将在知识产权、经济竞争力、创新技术、气候变化和创造就业方面为加拿大带来非常高的价值。