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A stochastic model for bus injection in an unscheduled public transport service
- Source :
- Transportation Research Part C: Emerging Technologies. 113:277-292
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Randomness affecting the operation of public transport systems generates significant increments in waiting times. A strategy to deal with this randomness is bus injection, in which buses are kept in specific points along the route ready to be dispatched when an event such as an extremely long headway occurs. In this work, a stochastic model based on the second moment of the headways distribution is developed to determine if one or more buses are worth reserving for injection in a public transport service. A single stop approach is initially used to determine an expression for the optimal headway threshold triggering the injection. Then, a model for the complete service is developed and used to determine when the empty bus should be injected within the headway once the decision to inject it has been taken. We show that the bus should be injected approximately when 57% of the headway has passed. Simulations with real data are used to test the proposed model, proving its accuracy in terms of measuring the impact on waiting times. The results show that reserving a bus to be injected can be better than operating the entire fleet continuously.
- Subjects :
- 050210 logistics & transportation
Mathematical model
Stochastic modelling
Computer science
business.industry
Stochastic process
05 social sciences
Transportation
010501 environmental sciences
01 natural sciences
Computer Science Applications
Public transport
0502 economics and business
Automotive Engineering
Headway
business
Bus bunching
Simulation
Randomness
0105 earth and related environmental sciences
Civil and Structural Engineering
Event (probability theory)
Subjects
Details
- ISSN :
- 0968090X
- Volume :
- 113
- Database :
- OpenAIRE
- Journal :
- Transportation Research Part C: Emerging Technologies
- Accession number :
- edsair.doi...........a8c514a0afc9bf66c9fba1cd7064d05c