Główne pojęcia
Optimizing semi-on-demand routes reduces costs and enhances service.
Streszczenie
The study explores the design of semi-on-demand hybrid transit routes, focusing on flexible and fixed route portions. It analyzes cost implications for users and operators, considering factors like demand density, detours, fleet size optimization, and vehicle types. The research showcases the benefits of flexible route designs in improving accessibility and reducing total costs.
Abstract:
- Examines semi-on-demand hybrid transit routes with shared autonomous mobility services.
- Develops cost expressions for access, waiting, riding costs for users, and operating costs for operators.
- Presents formulations for strategic and tactical decisions in route optimization.
- Demonstrates practical applications with numerical examples in Chicago.
Introduction:
- Highlights challenges in public transit systems due to uneven distribution of mobility.
- Discusses the first-mile-last-mile problem and the potential of autonomous vehicles to address it.
- Introduces the concept of semi-on-demand hybrid routes to balance fixed and flexible services.
Problem Description:
- Focuses on a corridor-based semi-on-demand hybrid service with flexible and fixed route portions.
- Considers directional demand scenarios like feeder services to train stations or downtown areas.
- Addresses operational cost reduction through shared autonomous mobility services (SAVs).
Objectives and Contributions:
- Presents two cost formulations for optimizing semi-on-demand hybrid routes strategically and tactically.
- Investigates benefits of different route forms based on demand conditions.
- Demonstrates analytical tools for designing SAMS as directional services.
Statystyki
Autonomous vehicles could alleviate mobility concerns by offering point-to-point journeys (Frei, Hyland, Mahmassani 2017).
Long-term trends like suburbanization have decreased transit ridership (Tahlyan et al. 2022).
15% of global carbon emissions are contributed by road transport (Ritchie 2020).
Cytaty
"Addressing the first-mile-last-mile problem can expand transit coverage in a cost-effective manner."
"Flexible route portions reduce total costs by serving passengers located further away."