2995. Bus fleet design and route optimization for worker transportation
Invited abstract in session WB-59: Transportation network design , stream Transportation.
Wednesday, 10:30-12:00Room: Liberty 1.14
Authors (first author is the speaker)
| 1. | Cristian E. Cortes
|
| Universidad de Chile, ISCI | |
| 2. | Pablo A. Rey
|
| Industry, Universidad Tecnológica Metropolitana | |
| 3. | Francisco Vilches
|
| Universidad de Chile | |
| 4. | Jaime Miranda
|
| Department of Management Control and Information Systems, Universidad de Chile |
Abstract
Many companies offer transport services to their employees from locations near their homes to the company’s facilities and vice versa. These services must consider the work shifts together with bus passenger transport problem constraints. The problem of designing routes and schedules for mass transit systems has been widely studied. In this work, we propose a route-based integer programming model to solve a mass transit design problem for a factory with over 800 workers in rotating shifts and nearly 200 administrative employees working weekdays from 9 am to 6 pm. The goal is to minimize total service costs while maintaining worker quality of life. Decision variables include the number of buses, capacities, routes, and stops. A two-step algorithm is proposed: first, generating a pool of routes; then, selecting routes and allocating passengers employing an integer programming model. The current system is compared to two alternative scenarios: an optimized current scenario and a future scenario incorporating an urban train, where buses transport workers to a railway station instead of the factory. Data from June 2023 were used for evaluation. Both alternatives showed cost reductions. Fixed costs remained similar, while variable costs decreased significantly in the future scenario due to shorter routes, though ticket costs offset some savings. The analysis found current routes adequate but highlighted improvements, such as using smaller buses on low-occupancy routes.
Keywords
- Transportation
- Network Design
- Logistics
Status: accepted
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