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McCain Dramatically reduces Congestion on the Second Busiest Arterial in San Diego County
技术
- 分析与建模 - 预测分析
- 功能应用 - 远程监控系统
- 网络与连接 - 网络管理和分析软件
适用行业
- 城市与自治市
- 运输
适用功能
- 商业运营
- 设施管理
用例
- 远程控制
- 智慧城市运营
- 交通监控
服务
- 软件设计与工程服务
- 系统集成
挑战
San Marcos Boulevard, the second busiest surface arterial in San Diego County, faced significant congestion and delays due to high traffic volumes ranging from 22,000 to 46,000 vehicles daily. The corridor, which intersects a major highway and is lined with businesses and schools, experienced congestion during four peak travel periods: Morning Peak (AM), Midday Peak (MD), Evening Peak (PM), and School Hours/Off Peak (OFF). Despite having a previously coordinated traffic signal plan, the City of San Marcos continued to struggle with traffic congestion, necessitating a more effective solution to manage the high volume of vehicles and improve traffic flow.
关于客户
The City of San Marcos, located in San Diego County, California, is a rapidly growing community known for its vibrant economy, educational institutions, and quality of life. As the second busiest surface arterial in the county, San Marcos Boulevard is a critical transportation corridor that supports a high volume of daily traffic, ranging from 22,000 to 46,000 vehicles. The boulevard is lined with businesses, schools, and residential areas, making it a vital artery for the city's residents and commuters. The City of San Marcos is committed to leveraging innovative technologies to enhance traffic management, reduce congestion, and improve the overall transportation experience for its citizens. By implementing advanced traffic control solutions, the city aims to create a more efficient and sustainable urban environment.
解决方案
The City of San Marcos selected McCain’s QuicTrac adaptive control system to optimize traffic flow on San Marcos Boulevard. This system was chosen for its compatibility with the city's existing controllers, cost-effectiveness, and ease of setup and maintenance. QuicTrac adaptive control provides real-time signal adjustments based on prevailing traffic conditions, making it an ideal solution for managing the high traffic volumes on the corridor. The deployment involved configuring the corridor into three adaptive groups for optimal performance. Existing infrastructure, including loop and video detectors and controllers, was utilized where available, and necessary communications and infrastructure upgrades were completed along the corridor. The adaptive control system significantly improved traffic flow by making real-time adjustments to signal coordination based on demand, resulting in reduced vehicle delays, stops, and fuel consumption.
运营影响
数量效益
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