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 亿加元之间，其中 90% 以上是交通时间损失。交通拥堵被广泛认为是全球大多数大都市区面临的主要挑战。城市交通由交通信号灯协调：当这些信号灯很好地同步时，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，城市官员在绿灯和红灯亮起时会使用不同的模式，以促进一个方向的人流，更好地适应人行横道，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，交通规划者可以从自适应信号控制的抢占中受益。一些城市与公共交通提供商合作，允许公交车从优先权中受益，以帮助他们遵守时间表、减少出行时间并鼓励公共交通的使用，但其实施仍然具有挑战性。该项目导致流动性增加和对公共交通的尊重时间表、减少拥堵和污染、减少燃料消耗并提高生产率。这些影响显然与联邦、省和市级绿色复苏的努力相一致，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，私人车队尚未使用抢占。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。我们的研究结果将使该系统能够应用于该市的其他地方，我们的知识将立即输出到加拿大其他地方和国外。我们的培训和知识转移计划将确保加拿大凭借这项新技术被公认为城市交通领域的领导者。