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实例探究 > Texas A&M University Transit: Addressing Efficiency and Customer Service Needs

Texas A&M University Transit: Addressing Efficiency and Customer Service Needs

技术
  • 分析与建模 - 实时分析
  • 功能应用 - 车队管理系统 (FMS)
  • 功能应用 - 远程监控系统
适用行业
  • 教育
  • 运输
适用功能
  • 商业运营
  • 物流运输
用例
  • 车队管理
  • 预测性维护
  • 实时定位系统 (RTLS)
  • 远程资产管理
服务
  • 软件设计与工程服务
  • 系统集成
  • 培训
挑战
Texas A&M University faced several challenges with its transit system, including the need to adjust services to avoid running empty buses, splitting shifts on short notice, and reducing complaints from riders. The university's transit system, which serves a large student population and the general public, required a more efficient operation to manage the fluctuating demand for service during off-peak periods, such as evenings, weekends, and holidays. Additionally, the majority of the transit drivers were students, necessitating flexible rostering to accommodate their schedules. The university also needed to improve on-time performance and provide riders with real-time information to reduce outdoor wait times and enhance overall rider satisfaction.
关于客户
Texas A&M University is one of the largest universities in the United States, covering over 5,000 acres and hosting over 63,000 students. The College Station campus operates like a small city, with a transit system that includes 97 buses running on 18 routes both on and off campus. The transit system serves not only the university's students and staff but also the general population of College Station. The university's transportation services are the 6th largest transit operation in Texas, transporting an average of 50,000 passengers on a typical fall or spring semester day. The transit system plays a crucial role in the daily operations of the university, ensuring that students, staff, and the public can move efficiently across the expansive campus and surrounding areas.
解决方案
To address the challenges, Texas A&M University implemented several solutions using TripSpark's technologies. The university utilized TripSpark's CAD/AVL and scheduling software, MDTs, and automatic passenger counters to manage their fixed route operations more effectively. By leveraging ridership data, the university was able to intelligently adjust evening, weekend, and holiday services, reducing driver hours without negatively impacting ridership. This approach allowed the university to redeploy driver hours and maintain excellent service levels without the need for additional buses. Additionally, the use of drag-and-drop rostering enabled the university to easily manage the schedules of student drivers, accommodating shorter and split shifts. Real-time dispatching and the provision of real-time bus location information to riders helped improve on-time performance and reduce outdoor wait times, leading to fewer complaints and higher rider satisfaction.
运营影响
  • Maximized route efficiency by adjusting services based on ridership data, reducing driver hours without impacting ridership.
  • Easily managed real-time rostering changes with drag-and-drop rostering, accommodating the schedules of student drivers.
  • Improved on-time performance and provided riders with real-time bus location information, reducing outdoor wait times and enhancing rider satisfaction.
数量效益
  • Transported an average of 50,000 passengers on a typical fall or spring semester day.
  • Operated 97 buses on 18 routes, serving a large student population and the general public.

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