实例探究 > Temecula Implements Citywide Adaptive Traffic Signal Control to Optimize Traffic Flow

Temecula Implements Citywide Adaptive Traffic Signal Control to Optimize Traffic Flow

地区
  • America
国家
  • United States
产品
  • QuicTrac
技术栈
  • Adaptive Control Software
  • Traffic Signal Coordination
实施规模
  • Enterprise-wide Deployment
影响指标
  • Cost Savings
  • Environmental Impact Reduction
  • Productivity Improvements
  • Customer Satisfaction
技术
  • 功能应用 - 远程监控系统
  • 功能应用 - 运输管理系统 (TMS)
适用行业
  • 城市与自治市
适用功能
  • 设施管理
  • 商业运营
用例
  • 交通监控
  • 智慧城市运营
  • 周边安全与访问控制
服务
  • 系统集成
  • 软件设计与工程服务
关于客户
The City of Temecula is a rapidly growing urban area in California, USA, known for its residential communities, commercial districts, and proximity to the I-15 freeway. The city has been facing significant traffic congestion issues, particularly during peak hours, which has affected the quality of life for its residents. Temecula's major corridors are crucial for connecting residential areas to commercial zones and institutions, making efficient traffic management a priority for the city administration. The city has been proactive in seeking advanced traffic solutions to improve mobility, reduce commute times, and enhance the overall quality of life for its residents. With a focus on leveraging technology to address these challenges, Temecula has implemented various initiatives to optimize traffic flow and reduce congestion.
挑战
Hefty Commute Times and Congestion Plagued the City’s Primary Arterials and Freeway Interchanges. Temecula’s major corridors connect the City’s residential communities to commercial districts, institutions, and the region’s primary interstate, the I-15 freeway. Existing signal coordination did not respond to prevailing traffic conditions causing unnecessary congestion. In addition, the lack of communication with I-15 signal interchanges caused traffic to backup on the off-ramps, causing residual queuing during the morning and evening rush hours. The project scope included seven major arterials spanning 18 miles of roadway, connecting residential communities, commercial districts, and the freeway. The city faced significant congestion levels, traffic backup on off-ramps, and major intersections that included freeway access.
解决方案
McCain’s QuicTrac adaptive control software was implemented to lower congestion and maximize thoroughfare with a system that is easy to understand, and simple to set up and maintain. It was selected for its proven local success and ability to maximize the use of Temecula’s existing infrastructure - detectors, controllers, and central control software. Each arterial was evaluated for current conditions highlighting necessary infrastructure improvements (i.e., separating loop detectors to provide lane-by-lane vehicular data) and signal timing plan updates. New traffic volume counts were collected and analyzed to engineer new coordination plans that served as the base parameters for adaptive operations. At the major freeway access points, yellow yield or one-way communication with Caltrans’ signals was established. Coordination plans were then implemented to clear traffic from the ramp signals onto the main corridors to minimize queuing down the ramps, whereas normal coordination emphasizes only movement along the corridor.
运营影响
  • Temecula successfully achieved their goal of improving the quality of life for residents by reducing commute times and smog-producing vehicle emissions.
  • Results varied on an arterial by arterial basis, yielding significant citywide improvements in travel time (14%) and corridor speeds (17%), as well as reductions in stops (29%) that far exceeded expectations.
  • Results also showed enhancements in the level of service (LOS), measured in delay per vehicle (sec/veh), for each intersection during AM and PM peaks.
  • 81.3% showed improvements in delay, and 30.6% improved by a full grade or more (LOS).
  • In addition, the optimization of traffic flow made a positive impact on commuter’s wallets and the environment.
数量效益
  • $2.6 million in annual travel time savings.
  • $437,000 in annual fuel costs saved.
  • 29% fewer stops during peak periods.
  • 17% improvement in speed.
  • 14% reduction in travel time.

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