Distributed traffic management system for intelligent vehicles: operationalization and testing

智能车辆（IV）通过连接和自动化提供了解决关键城市问题的独特机会，包括拥堵，长行程时间，温室气体（GHG）排放和污染。早先，我们提出了一种利用IV技术来解决这些问题的分布式交通管理系统（专利：62/865，725）。它提出了一个基于网络的解决方案，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的道路网络的吞吐量。在这个项目中，我们操作所需的硬件和软件栈，并分析了在安大略的汉密尔顿的一个真实的测试平台上的系统。该项目将使我们能够采取在我们的实验室开发的研究，创建一个真实的概念验证的实施，并证明其性能方面的上述问题。我们还将评估系统的可扩展性、鲁棒性和容错性。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。

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.