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Case Studies > Santa Cruz Metropolitan Transit District & ParaCruz

Santa Cruz Metropolitan Transit District & ParaCruz

Technology Category
  • Analytics & Modeling - Real Time Analytics
  • Functional Applications - Fleet Management Systems (FMS)
  • Functional Applications - Remote Monitoring & Control Systems
Applicable Industries
  • Cities & Municipalities
  • Transportation
Applicable Functions
  • Business Operation
  • Logistics & Transportation
Use Cases
  • Fleet Management
  • Predictive Maintenance
  • Remote Asset Management
Services
  • Software Design & Engineering Services
  • System Integration
  • Training
The Challenge
The Santa Cruz Metropolitan Transit District faced several challenges with their existing system. The scheduling process was incredibly manual with no automation, making it time-consuming and prone to errors. The agency was using outdated tablets required by their legacy system, which were difficult for drivers to operate. Additionally, the reporting capabilities on the legacy software did not meet the agency's requirements. They needed a mobile app to provide more autonomy and mobility for riders and required a software solution that understood their unique needs in their specific area.
About The Customer
Santa Cruz Metropolitan Transit District, along with its ParaCruz service, is a public transportation agency serving the Santa Cruz County area in California, United States. The agency provides a range of transit services, including fixed-route bus services and paratransit services for individuals with disabilities. ParaCruz is a specialized service designed to meet the needs of riders who are unable to use the regular bus service due to physical or cognitive disabilities. The agency is committed to providing safe, reliable, and efficient transportation options to enhance the mobility and independence of its riders. With a focus on customer satisfaction and operational efficiency, the Santa Cruz Metropolitan Transit District continually seeks innovative solutions to improve its services.
The Solution
To address these challenges, the Santa Cruz Metropolitan Transit District implemented several solutions. They introduced new tablets and provided continual in-person and online training options for drivers using Econlane University’s Learning Management System (LMS). This ensured that drivers were well-versed in using the new technology. The agency also adopted the advanced Ecolane Reporting System along with an Ad-hoc reporting tool, which provided easy-to-use and comprehensive reporting capabilities. The Ecolane DRT software was implemented to completely automate scheduling and dispatching, with continuous real-time optimization. Additionally, the Ecolane Touch Screen MDT software, running on Android tablets, offered turn-by-turn navigation using Google Maps traffic for real-time schedule updates. A new advanced mobile app was also introduced, capable of accepting credit card payments, providing a portal for riders to book and manage trips, and sending push notifications in real-time without manual intervention.
Operational Impact
  • The implementation of the new solutions led to several operational improvements. The introduction of new tablets and continuous training ensured that drivers were comfortable and efficient in using the new technology. The advanced Ecolane Reporting System and Ad-hoc reporting tool provided the agency with comprehensive and easy-to-use reporting capabilities, meeting their specific requirements. The Ecolane DRT software automated the scheduling and dispatching process, significantly reducing manual intervention and optimizing operations in real-time. The Ecolane Touch Screen MDT software, with turn-by-turn navigation and real-time schedule updates, improved the accuracy and efficiency of route management. The advanced mobile app enhanced the rider experience by providing a convenient platform for booking and managing trips, accepting payments, and receiving real-time notifications.
Quantitative Benefit
  • Increased RPH from 1.86 to 2.08 RPH
  • Averaging 300 Rides Per Day
  • On-Time Performance: 93%

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