NDLI: A reliability-based transit trip planning model under transit network uncertainty

Please wait, while we are loading the content...

A reliability-based transit trip planning model under transit network uncertainty

Content Provider	SpringerLink
Author	Chen, Yang Yang, Shu Hu, Mengqi Wu, Yao Jan
Copyright Year	2016
Abstract	Transit, although an important public transportation mode, is not thoroughly utilized in the United States. To encourage the public to take transit, agencies have developed systems and tools that assist travelers in accessing and using information. Transit data modeling and trip planner system architecture developments have helped advance these systems, and the recent emergence of transit trip planning algorithms promises further enhancement. Conventional transit trip planning algorithms are usually developed based on graph theory. In order to utilize these algorithms, certain assumptions must be made to support these algorithms (e.g. buses always run on time). However, these assumptions may not be realistic. To overcome these limitations, our study develops an innovative transit trip planning model using chance constrained programming. Unlike previous studies, which only minimized passenger-experienced travel time, our study also considers transit service reliability. Additionally, in-vehicle travel time, transfer time, and walking time are all included as elements of passenger-experienced travel time. Our transit trip planning model avoids the assumptions of previous studies by incorporating transit service reliability and is capable of finding reliable transit paths with minimized passenger-experienced travel time. The algorithm can also suggest a buffer time before departure to ensure on-time arrivals at a given confidence level. General Transit Feed Specification data, collected around Tucson, Arizona, was used to model the transit network using a “node-link” scheme and estimate link-level travel time and travel time reliability. Three groups of experiments were developed to test the performance of the proposed model. The experiment results suggested that the optimal anticipated travel time increased with increasing on-time arrival confidence level and walking was preferred over direct bus transfers that involved out of direction travel. The proposed model can also include additional travel modes and can easily be extended to include intercity trip planning.
Starting Page	477
Ending Page	496
Page Count	20
File Format	PDF
ISSN	1866749X
Journal	Public Transport
Volume Number	8
Issue Number	3
e-ISSN	16137159
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2016-11-04
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	General transit feed specification Chance constrained programming Transit travel time Transit travel time reliability Operation Research/Decision Theory Automotive Engineering Computer-Aided Engineering (CAD, CAE) and Design Transportation
Content Type	Text
Resource Type	Article
Subject	Management Science and Operations Research Information Systems Transportation Mechanical Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Limited-stop bus service: an evaluation of an implementation strategy

Schedule-free high-frequency transit operations

Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro

Identification of transit farebox data errors: impacts on transit planning

The multi-class schedule-based transit assignment model under network uncertainties

Transit vehicles’ headway distribution and service irregularity

Exploring factors affecting demand for possible future intercity transit options

Cost models for local road transit

Travel mode choice and transit route choice behavior in Montreal: insights from McGill University members commute patterns

A reliability-based transit trip planning model under transit network uncertainty

Similar Documents

Limited-stop bus service: an evaluation of an implementation strategy

Schedule-free high-frequency transit operations

Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro

Identification of transit farebox data errors: impacts on transit planning

The multi-class schedule-based transit assignment model under network uncertainties

Transit vehicles’ headway distribution and service irregularity

Exploring factors affecting demand for possible future intercity transit options

Cost models for local road transit

Travel mode choice and transit route choice behavior in Montreal: insights from McGill University members commute patterns

A reliability-based transit trip planning model under transit network uncertainty