Traffic data collection tools for freeway operation research

用于高速公路运营研究的交通数据收集工具

• 批准号: 390605-2010
• 负责人: Qiu, Zhijun
• 金额: $ 3.58万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments - Category 1 (<$150,000)
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=443240
• 关键词: Traffic; data; collection; tools; freeway

Increasing traffic congestion on freeway networks around the world call for innovative traffic control strategies and systems that can maximize the effectiveness and efficiency of the existing transportation infrastructure. Reduced traffic congestion leads to reduced car idling which leads to less carbon dioxide emissions. The Transportation Research Program at the University of Alberta has submitted an NSERC Discovery Grant application which proposes the development of an adaptive and coordinated traffic-control strategy to improve freeway mobility. The research group will collect some field data, model and simulate the possible implementation of control strategies, and analyze its principal impact on freeway-traffic-flow efficiency.

世界各地高速公路网络的交通拥堵日益严重，需要创新的交通控制策略和系统，以最大限度地提高现有交通基础设施的有效性和效率。交通拥堵的减少导致汽车空转减少，从而减少二氧化碳排放。阿尔伯塔大学交通研究项目已提交 NSERC 发现补助金申请，建议制定自适应和协调的交通控制策略，以改善高速公路的流动性。研究小组将收集一些现场数据，对控制策略的可能实施进行建模和模拟，并分析其对高速公路交通流效率的主要影响。