Tahoe Transportation District: Adapting to Changing Conditions with IoT
Technology Category
- Functional Applications - Transportation Management Systems (TMS)
Applicable Industries
- Automotive
- Transportation
Applicable Functions
- Logistics & Transportation
Use Cases
- Autonomous Transport Systems
- Public Transportation Management
About The Customer
The Tahoe Transportation District (TTD) is a rural transit system that serves approximately 50,000 people. The organization operates four bus routes and is known for its nimble operations that adapt to varying seasonal demands. TTD typically holds three bids each year to staff their fixed-route bus network, catering to the winter sports season, summer, and the shoulder season. The organization had been using Remix Planning and Scheduling products to streamline these processes. However, the team faced a significant challenge when the COVID-19 pandemic disrupted ridership patterns and led to driver shortages.
The Challenge
The Tahoe Transportation District (TTD) operates a nimble transit system that caters to a varying seasonal demand. This necessitates the organization to hold three bids each year to staff their fixed-route bus network: one for the winter sports season, one for the summer, and one for the shoulder season. The TTD team had been using Remix Planning and Scheduling products to keep these processes smooth. However, the onset of the COVID-19 pandemic abruptly changed ridership patterns, leading to driver shortages. Additionally, the agency's dedicated scheduler left the team, leaving the TTD in a challenging situation. The team had to adapt to these changes and continue to provide consistent, high-quality transit service to the 50,000 people they serve, without any full-time schedulers.
The Solution
In response to the challenge, the transit planners at TTD, who had never scheduled a service before, stepped in and utilized the intuitive, powerful Remix interface. They conducted emergency re-bids to adjust for a smaller-than-expected driving pool and optimized their winter and summer bids to different conditions than before. They had to adapt once to a lower bus count and another time to produce rosters that were severable in the event drivers called out. With Remix, none of these bids started from scratch: the planners could build from old schedules, and import new route information directly from Remix Planning. Despite not having a dedicated scheduler, the TTD team was able to block, runcut, and roster each new bid in approximately three weeks’ time.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
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.
