File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Responsive bus dispatching strategy in a multi-modal and multi-directional transportation system: A doubly dynamical approach

TitleResponsive bus dispatching strategy in a multi-modal and multi-directional transportation system: A doubly dynamical approach
Authors
KeywordsMFD
Day-to-day
Bus fleet
Multi-modal
Two-way traffic
Issue Date2020
Citation
Transportation Research Part C: Emerging Technologies, 2020, v. 113, p. 21-37 How to Cite?
Abstract© 2019 This paper examines the time-dependent bus dispatching problem in a multi-modal context. Traditional studies along this line often optimize the bus frequency or schedule. However, they may fail as the realized bus frequency or schedule is constrained by the time-varying traffic congestion on the road. Adding more buses to service does not necessarily increase the service frequency. Given this, we look into the time-dependent bus dispatching (number of buses in service on road) when taking into account complex multi-modal and multi-directional flow interactions on the road. In particular, the traffic dynamics over clock time is modeled through an aggregate traffic representation with flow interactions between cars and buses, and interactions between traffic in opposite moving directions. Instead of explicitly optimizing the size of dispatched bus fleet, we propose an adaptive fleet size adjustment mechanism where we have a target level of bus loading factor. This adaptive or responsive approach, by taking advantage of the doubly dynamical system proposed in Liu and Geroliminis (2017), adjusts the size of dispatched bus fleet over calendar time and accommodates day-to-day variations of mode choices and traffic patterns. Numerical studies show that the proposed approach can help bus operator to reduce operating cost and improve net benefit while maintaining comparable user costs for passengers. This study offers a new perspective for dynamic bus dispatching strategy and improves our understanding of multi-modal traffic dynamics.
DescriptionThis paper has been accepted for a podium presentation at the 23rd International Symposium on Transportation and Traffic Theory (ISTTT23) July 24–26, 2019 in Lausanne, CH.
Persistent Identifierhttp://hdl.handle.net/10722/281385
ISSN
2019 Impact Factor: 6.077
2015 SCImago Journal Rankings: 2.062
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorZhang, Fangni-
dc.contributor.authorLiu, Wei-
dc.date.accessioned2020-03-13T10:37:44Z-
dc.date.available2020-03-13T10:37:44Z-
dc.date.issued2020-
dc.identifier.citationTransportation Research Part C: Emerging Technologies, 2020, v. 113, p. 21-37-
dc.identifier.issn0968-090X-
dc.identifier.urihttp://hdl.handle.net/10722/281385-
dc.descriptionThis paper has been accepted for a podium presentation at the 23rd International Symposium on Transportation and Traffic Theory (ISTTT23) July 24–26, 2019 in Lausanne, CH.-
dc.description.abstract© 2019 This paper examines the time-dependent bus dispatching problem in a multi-modal context. Traditional studies along this line often optimize the bus frequency or schedule. However, they may fail as the realized bus frequency or schedule is constrained by the time-varying traffic congestion on the road. Adding more buses to service does not necessarily increase the service frequency. Given this, we look into the time-dependent bus dispatching (number of buses in service on road) when taking into account complex multi-modal and multi-directional flow interactions on the road. In particular, the traffic dynamics over clock time is modeled through an aggregate traffic representation with flow interactions between cars and buses, and interactions between traffic in opposite moving directions. Instead of explicitly optimizing the size of dispatched bus fleet, we propose an adaptive fleet size adjustment mechanism where we have a target level of bus loading factor. This adaptive or responsive approach, by taking advantage of the doubly dynamical system proposed in Liu and Geroliminis (2017), adjusts the size of dispatched bus fleet over calendar time and accommodates day-to-day variations of mode choices and traffic patterns. Numerical studies show that the proposed approach can help bus operator to reduce operating cost and improve net benefit while maintaining comparable user costs for passengers. This study offers a new perspective for dynamic bus dispatching strategy and improves our understanding of multi-modal traffic dynamics.-
dc.languageeng-
dc.relation.ispartofTransportation Research Part C: Emerging Technologies-
dc.subjectMFD-
dc.subjectDay-to-day-
dc.subjectBus fleet-
dc.subjectMulti-modal-
dc.subjectTwo-way traffic-
dc.titleResponsive bus dispatching strategy in a multi-modal and multi-directional transportation system: A doubly dynamical approach-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.trc.2019.04.005-
dc.identifier.scopuseid_2-s2.0-85064269936-
dc.identifier.hkuros309676-
dc.identifier.volume113-
dc.identifier.spage21-
dc.identifier.epage37-
dc.identifier.isiWOS:000524395800003-
dc.identifier.issnl0968-090X-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats