Network design for line-based autonomous bus services
Bibliographic Data
| ID | 19337644 |
|---|---|
| Authors | Jonas Hatzenbühler (0000-0001-9447-2823, KTH Royal Institute of Technology, corresponding author), Oded Cats (0000-0002-4506-0459, KTH Royal Institute of Technology), Erik Jenelius (0000-0002-4106-3126, KTH Royal Institute of Technology) |
| Year | 2022 |
| Volume | 49 |
| Issue | 2 |
| Pages | 467-502 |
| Publication date | 2022-04-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Transportation (JOURNAL) |
| Journal identifiers | ISSN: 0049-4488 • E-ISSN: 1572-9435 |
| Publisher | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1007/s11116-021-10183-7 |
| OpenAlex | W3026538155 |
| Language | EN |
| References cited | 45 |
The maturing of autonomous driving technology in recent years has led to several pilot projects and the initial integration of autonomous pods and buses into the public transport (PT) system. An emerging field of interest is the design of public transport networks operating autonomous buses and the potential to attract higher levels of travel demand. In this work a multi-objective optimization and multi-agent simulation framework is developed to study potential changes in the network design and frequency settings compared to conventional PT systems when autonomous vehicles (AV) systems are deployed on fixed-route networks. During the optimization process multiple deployment scenarios (network configurations and service frequency) are evaluated and optimized considering the operator cost, user cost and infrastructure preparation costs of the system. User-focused network design and operator-focused network design are studied for a real-world urban area in Sweden. The results provide insights into the network design and level of service implications brought about by the deployment of autonomous bus (AB) when those are integrated in route-based PT systems. We show that the deployment of autonomous buses result with a network design that increases service ridership. In the context of our case study this increase is likely to primarily substitute walking
Context (archaeology) · Network planning and design · Public transport · Service (business) · Simulation · Software deployment · Systems design · Systems engineering · Telecommunications · Transport engineering · Computer Science · Engineering · Traffic control and management · Transportation and Mobility Innovations · Transportation Planning and Optimization
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Emergence of Scaling in Random Networks
Transit network design using a genetic algorithm with integrated road network and disaggregated O–D demand data
Impact of shared and autonomous vehicles on travel behavior
The multi-objective network design problem using minimizing externalities as objectives
Externalities in urban buses
| Highly cited | No |
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