Real-time traffic light preemption optimization

实时红绿灯抢占优化

• 批准号: 566311-2021
• 负责人: Coelho, LeandroCallegariLC
• 金额: $ 2.19万
• 依托单位: Université Laval
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 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=761846
• 关键词: Real; time; traffic; light; preemption

In Canada, traffic congestion imposes heavy economic and environmental burdens, with estimates of the congestion cost in urban areas between $2.3 billion and $3.7 billion per year, where more than 90% corresponds to time lost in traffic. Traffic congestion is widely perceived as the major challenge faced in most metropolitan areas worldwide. City traffic is coordinated by traffic lights: when these are well synchronized, they can act as a buffer to control traffic flow efficiently across intersections. In some contexts, city officials use different patterns for the duration of green-red lights in order to favor the flow in one direction, to better accommodate pedestrian crossings, or to help with the dispatching of emergency vehicles. More recently, thanks to the emergence of connected vehicles and online real-time information, transportation planners can benefit from preemption with adaptive signal control. Some cities work with public transport providers to allow buses to benefit from preemption in order to help them stick to their schedule, reduce travel time, and encourage public transport usage, but their implementation remains challenging.This project leads to increased mobility and respect of the schedules, less congestion and pollution, reduced fuel consumption, and increased productivity. These impacts are clearly aligned with federal, provincial, and municipal level efforts for a green recovery and contribute to decreasing our energy use and greenhouse gas emissions. These potential outcomes will be clearly measured and quantified in our project. As indicated above, preemption is not yet used with private fleets. This innovative collaboration will assess how traffic light control can reduce congestion, consumption, and emission. Our findings will allow the system to be applied elsewhere in the city, and our knowledge will be immediately exportable elsewhere in Canada and abroad. Our training and knowledge transfer plans will ensure that Canada is recognized as a leader in urban mobility with this new technology.

在加拿大，交通拥堵造成了沉重的经济和环境负担，据估计，城市地区每年的拥堵成本在23亿至37亿美元之间，其中90%以上对应于交通时间损失。交通拥堵被广泛认为是世界上大多数大都市地区面临的主要挑战。城市交通由交通信号灯协调：当这些信号灯同步良好时，它们可以充当缓冲区，有效地控制交叉路口的交通流量。在某些情况下，市政府官员在绿灯和红灯的持续时间内使用不同的模式，以便有利于一个方向的交通，更好地容纳行人过街，或帮助调度紧急车辆。最近，由于联网车辆和在线实时信息的出现，交通规划者可以通过自适应信号控制从抢占中受益。一些城市与公共交通供应商合作，允许公交车从优先购买中受益，以帮助他们坚持自己的时间表，减少旅行时间，并鼓励公共交通的使用，但其实施仍然具有挑战性。该项目导致增加流动性和尊重时间表，减少拥堵和污染，减少燃料消耗，并提高生产力。这些影响显然与联邦、省和市各级为绿色复苏所做的努力一致，并有助于减少我们的能源使用和温室气体排放。这些潜在的结果将在我们的项目中得到明确的衡量和量化。如上所述，私人车队尚未使用先占权。这项创新合作将评估交通灯控制如何减少拥堵、消耗和排放。我们的研究结果将允许该系统应用于城市的其他地方，我们的知识将立即出口到加拿大和国外的其他地方。我们的培训和知识转移计划将确保加拿大被公认为采用这项新技术的城市交通领域的领导者。