Integrative Transportation Systems through Automation and Connectivity

通过自动化和连通性实现综合运输系统

• 批准号: CRC-2021-00010
• 负责人: Kattan, Lina
• 金额: $ 14.57万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 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=750766
• 关键词: Integrative; Transportation; Systems; through; Automation

Connected and autonomous vehicles (CAVs) that can "see", "talk", "hear" and drive themselves are transforming the automobile from a purely "selfish mode" to a more "socially-aware" yet efficient one. Depending on how they are deployed, the emergence of CAVs will bring tremendous opportunities, complexities, challenges, and research needs. For instance, CAVs can collect and ubiquitously disseminate information in the traffic network through vehicle-to-infrastructure (V2I), vehicle-to-vehicle (V2V) and vehicle-to-device and infrastructure-to-device (X2X) communication. This hyperconnected web of reciprocity will enable integrative decisions which are inclusive of individual travellers' needs while also meeting desired system-wide societal objectives.This proposed CRC program in Integrative Transportation Systems aims to advance the theory and deployment of emerging transportation technologies in Canada to achieve the explicit objectives of improved efficiency, equity, reliability, and reduction of negative externalities. At the crux of this proposal are four synergistic CAV-based themes working in synchrony to shape CAV deployment into a "meaningful disruption" that meets the societal and sustainability aspirations of our future cities. These themes provide integrative solutions to design the next generation of traffic and transit control tools, devise novel accompanying policies, and instrument the road network to better predict travel demand fluctuation.Our vision is to provide ground-breaking solutions for urban transportation networks by developing novel concepts, policies, models, methodologies and algorithms. Our scientific approach capitalizes on advancements in traffic flow theory, traffic management, transit control, network modelling and simulation, mathematical modelling and programming, game theory, agent-based modelling, data-driven insights, predictive analytics and machine learning. This research has important implications for the Canadian economy and is vital for the multi-disciplinary training of the next generation of transportation policymakers, researchers, academics, and engineers. This research will thus directly and significantly contribute to the welfare of Canadians by enhancing equity, safety, accessibility and mobility, reducing emissions and diversifying the economy.

可以“看到”，“谈话”，“听”和驱动自己的连接和自动驾驶汽车（骑士）正在将汽车从纯粹的“自私模式”转变为更“社会意识”但高效的汽车。根据它们的部署方式，骑士的出现将带来巨大的机会，复杂性，挑战和研究需求。例如，骑士可以通过车辆到基础设施（V2I），车辆到车辆（V2V）以及车辆到设备以及基础设施到设备（X2X）通信在交通网络中收集和分发信息。这种超连接的互惠网络将实现综合决策，这些决策包括个人旅客的需求，同时还达到了所需的系统范围内的社会目标。这项拟议的集成运输系统中的CRC计划旨在促进加拿大新兴运输技术的理论和部署提高效率，公平性，可靠性和降低负面外部性的明确目标。该提案的关键是四个基于协同的CAV主题，用于同步，将CAV部署塑造成一种“有意义的破坏”，以符合我们未来城市的社会和可持续性愿望。这些主题提供了整合解决方案，以设计下一代的交通和过境控制工具，制定新颖的伴随政策，并启动道路网络，以更好地预测旅行需求的波动。我们的视觉是通过开发新颖的新颖性来为城市运输网络提供突破性的解决方案概念，政策，模型，方法和算法。我们的科学方法利用了交通流理理论，交通管理，交通控制，网络建模和模拟，数学建模和编程，游戏理论，基于代理的建模，数据驱动的见解，预测分析和机器学习的进步。这项研究对加拿大经济具有重要意义，对于对下一代运输决策者，研究人员，学者和工程师的多学科培训至关重要。因此，这项研究将通过增强公平，安全性，可及性和流动性，减少排放并多样化经济来直接而显着为加拿大人的福利做出贡献。