下载PDF
CapMetro Pickup: Transforming Public Transit in Austin, Texas
技术
- 功能应用 - 车队管理系统 (FMS)
- 机器人 - 自动导引车 (AGV)
适用行业
- 汽车
- 运输
用例
- 公共交通管理
- 车辆性能监测
挑战
奥斯汀大都会地区涵盖农村、郊区和城市地区，正在努力解决城市固定路线交通系统的通行受限问题。这给居民，特别是行动不便的居民带来了重大挑战。现有的交通选择不足且不方便，使许多人的日常通勤变得困难。此前曾实施过叫车服务，但成本效益不高，无法满足日益增长的需求。 2017 年，Via 和 CapMetro 之间的试点项目使客流量翻了两番，并将每位乘客的成本降低了一半，促使 CapMetro 考虑更广泛的解决方案。目标是在奥斯汀地区总共覆盖 18 平方英里的五个区域重新推出“接送”服务，并计划扩展到其他区域。
关于客户
接送服务的客户是奥斯汀都市区的居民，包括农村、郊区和城市地区。这些人以前很难进入城市的固定路线交通系统，这使得通勤成为一个挑战，特别是对于那些行动不便的人来说。接送服务旨在满足这些人的需求，为他们的通勤需求提供方便、便捷且经济高效的解决方案。该服务对于那些依赖公共交通进行日常通勤的人以及需要轮椅通行车辆的人特别有利。
解决方案
2019年6月，Via与CapMetro重新推出接送服务，覆盖五个大型服务区。该服务旨在为具有各种需求的乘客提供完全便利的服务。可以通过 Pickup 应用程序或电话预订乘车，为用户提供灵活性和便利性。该服务的价格与 MetroBus 和 MetroRapid 相同，并接受多种付款方式，包括信用卡、现金和 CapMetro 交通卡。车队完全可供轮椅通行，确保所有乘客的包容性。尽管在 COVID-19 大流行期间客流量有所下降，Via 和 CapMetro 继续投资于 Pickup 的长期成功，在利安德、拉戈维斯塔、普夫鲁格维尔和德绍推出了新的服务区域。
运营影响
数量效益
相关案例.
Case Study
Integral Plant Maintenance
Mercedes-Benz and his partner GAZ chose Siemens to be its maintenance partner at a new engine plant in Yaroslavl, Russia. The new plant offers a capacity to manufacture diesel engines for the Russian market, for locally produced Sprinter Classic. In addition to engines for the local market, the Yaroslavl plant will also produce spare parts. Mercedes-Benz Russia and his partner needed a service partner in order to ensure the operation of these lines in a maintenance partnership arrangement. The challenges included coordinating the entire maintenance management operation, in particular inspections, corrective and predictive maintenance activities, and the optimizing spare parts management. Siemens developed a customized maintenance solution that includes all electronic and mechanical maintenance activities (Integral Plant Maintenance).
Case Study
Airport SCADA Systems Improve Service Levels
Modern airports are one of the busiest environments on Earth and rely on process automation equipment to ensure service operators achieve their KPIs. Increasingly airport SCADA systems are being used to control all aspects of the operation and associated facilities. This is because unplanned system downtime can cost dearly, both in terms of reduced revenues and the associated loss of customer satisfaction due to inevitable travel inconvenience and disruption.
Case Study
IoT-based Fleet Intelligence Innovation
Speed to market is precious for DRVR, a rapidly growing start-up company. With a business model dependent on reliable mobile data, managers were spending their lives trying to negotiate data roaming deals with mobile network operators in different countries. And, even then, service quality was a constant concern.
Case Study
Digitize Railway with Deutsche Bahn
To reduce maintenance costs and delay-causing failures for Deutsche Bahn. They need manual measurements by a position measurement system based on custom-made MEMS sensor clusters, which allow autonomous and continuous monitoring with wireless data transmission and long battery. They were looking for data pre-processing solution in the sensor and machine learning algorithms in the cloud so as to detect critical wear.
