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

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

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

Technology Category	Analytics & Modeling - Real Time Analytics Functional Applications - Fleet Management Systems (FMS) Functional Applications - Remote Monitoring & Control Systems
Applicable Industries	Education Transportation
Applicable Functions	Business Operation Logistics & Transportation
Use Cases	Fleet Management Predictive Maintenance Real-Time Location System (RTLS)
Services	Software Design & Engineering Services System Integration
Challenge	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 needed a solution to maximize route efficiency, manage real-time rostering changes, and improve on-time performance to enhance rider satisfaction. Read More
About Customer	Texas A&M University is one of the largest universities in America, covering over 5,000 acres and hosting over 63,000 students. The university’s College Station campus operates a transit system that serves not only students and staff but also the general population of College Station. With 97 buses running on 18 routes both on and off campus, the transit system is the 6th largest in Texas. The university uses advanced technologies to manage its fixed route operations and transport an average of 50,000 passengers on a typical fall or spring semester day. Read More
Solution	Texas A&M University implemented TripSpark’s CAD/AVL and scheduling software, MDTs, and automatic passenger counters to manage their transit operations. By using ridership data, the university intelligently adjusted evening, weekend, and holiday services to reduce driver hours without negatively impacting ridership. The flexible rostering system allowed for easy management of real-time rostering changes, and real-time dispatching improved on-time performance. Riders were provided with real-time bus location information, reducing wait times and complaints. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Real Time Analytics

Functional Applications - Fleet Management Systems (FMS)

Functional Applications - Remote Monitoring & Control Systems

Applicable Industries

Education

Transportation

Applicable Functions

Business Operation

Logistics & Transportation

Use Cases

Fleet Management

Predictive Maintenance

Real-Time Location System (RTLS)

Services

Software Design & Engineering Services

System Integration

Challenge

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 needed a solution to maximize route efficiency, manage real-time rostering changes, and improve on-time performance to enhance rider satisfaction.

About Customer

Texas A&M University is one of the largest universities in America, covering over 5,000 acres and hosting over 63,000 students. The university’s College Station campus operates a transit system that serves not only students and staff but also the general population of College Station. With 97 buses running on 18 routes both on and off campus, the transit system is the 6th largest in Texas. The university uses advanced technologies to manage its fixed route operations and transport an average of 50,000 passengers on a typical fall or spring semester day.

Solution

Texas A&M University implemented TripSpark’s CAD/AVL and scheduling software, MDTs, and automatic passenger counters to manage their transit operations. By using ridership data, the university intelligently adjusted evening, weekend, and holiday services to reduce driver hours without negatively impacting ridership. The flexible rostering system allowed for easy management of real-time rostering changes, and real-time dispatching improved on-time performance. Riders were provided with real-time bus location information, reducing wait times and complaints.

Impact #1	Maximized route efficiency by adjusting services based on ridership data.
Impact #2	Easily managed real-time rostering changes with drag and drop rostering.
Impact #3	Reduced outdoor wait times and improved rider satisfaction by providing real-time bus location information.

Impact #1

Maximized route efficiency by adjusting services based on ridership data.

Impact #2

Easily managed real-time rostering changes with drag and drop rostering.

Impact #3

Reduced outdoor wait times and improved rider satisfaction by providing real-time bus location information.

Benefit #1	Transported an average of 50,000 passengers on a typical fall or spring semester day.
Benefit #2	Operated 97 buses on 18 routes both on and off campus.

Benefit #1

Transported an average of 50,000 passengers on a typical fall or spring semester day.

Benefit #2

Operated 97 buses on 18 routes both on and off campus.

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Overview

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

Operational Impact

Quantitative Benefit