Urban Transportation Operation and Management in a Connected and Autonomous vehicle Environment

互联和自动驾驶车辆环境中的城市交通运营和管理

• 批准号: RGPIN-2020-03942
• 负责人: Kattan, Lina
• 金额: $ 7.21万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=716731
• 关键词: Urban; Transportation; Operation; Management; Connected

Once perceived as fiction, connected and autonomous vehicles (CAVs) can now “see”, “talk”, and drive themselves, and are transforming our cities' transportation systems. Depending on how they are deployed, CAVs will create tremendous opportunities, challenges and research needs. For instance, personal and transit autonomous vehicles will be equipped with advanced sensing technologies to navigate without any human interaction, influencing the driving behaviour in their vicinity. Connected vehicles, with their vehicle-to-vehicle, vehicle-to-infrastructure and vehicle-to-devices communication capabilities, will exchange vital information to enable cooperative decisions to achieve system-wide goals. My proposed research program builds upon activities undertaken during the previous Discovery Grant (DG) and Discovery Accelerator Supplement (DAS) to develop coherent theoretical and methodological platforms to harness the potentials of emerging technologies while anticipating and mitigating their negative externalities. My long-term vision is to bridge gaps between theory, methodology and real-world applications to advance the deployment of emerging transportation technologies in Canada, while contributing to economic diversification, environmental stewardship and equity in resource allocation. Over the next five years, my research program will develop a holistic framework where CAV-enabled technologies, policies and real-time traffic and transit control schemes all work in concert to achieve the overall objectives of improved efficiency, fairness, reliability and reduction of negative externalities. The inclusion of fairness concepts, which has not yet been attempted, is highly novel and unique to my research. The short-term objectives to be achieved are as follows: 1. Design the next generation of traffic control schemes that leverage the potentials of CAVs; 2. Devise new forms of travel demand policies to shape CAV deployment to meet societal goals; 3. Design novel CAV-enabled transit control to improve transit reliability and rider experience; 4. Estimate/predict the induced changes in travel patterns stemming from CAVs; and 5. Evaluate the resulting network performance in terms of throughput, reliability and resilience. Our vision is to provide ground-breaking solutions for urban transportation by developing novel concepts, policies, models, methodologies and algorithms. Our scientific approach capitalizes on traffic flow theory, advanced traffic management, transit control, network modelling and simulation, mathematical modelling and programming, bi-level game theory, agent-based modelling, data-driven insights, and machine learning. This research has important implications for the Canadian economy and is vital for the multi-disciplinary training of HQP. Our trainees will form the next generation of transportation policymakers, researchers, academics, and engineers who will be the leaders and champions for driving the Smart Cities initiative.

一旦被视为小说，就可以“谈论”，并根据部署方式驱动自己的ANSPORTATION系统。传感技术在没有任何互动的情况下导航，影响其附近的驾驶行为，其车辆车辆，URE和车辆对设备的通信能力能力将交换重要信息，以实现合作的决策目标。 我对先前发现赠款（DG）和发现加速器补充剂（DAS）的活动进行了支撑研究计划。在理论，方法论和现实世界的现实应用之间，加拿大新兴技术的部署在促进经济多样化，环境管理和资源分配中的公平性。 在接下来的五年中，我的研究计划将开发一个整体框架，在该框架中，基于CAV的技术，政策和实时流量和过境控制方案都可以协同工作，以实现提高效率，公平，可靠性和负面负面影响的总体目标外部性。 1。设计利用骑士电势的下一代交通管制计划； 2。设计新形式的旅行需求政策，以塑造CAV部署以实现社会目标； 3。设计新颖的CAV启用过境控制，以提高过境可靠性和骑手体验； 4。估计/预测来自骑士和骑士的旅行模式的变化； 5。根据通过和弹性评估所得的网络性能。 我们的愿景是通过开发新颖的概念HMS来提供开创性的解决方案。基于模型，数据驱动的见解和机器学习，对于HQP的多学科培训至关重要。智慧城市倡议。