Next Article in Journal
Learning to Recommend Point-of-Interest with the Weighted Bayesian Personalized Ranking Method in LBSNs
Previous Article in Journal
An Improved Multi-Objective Artificial Bee Colony Optimization Algorithm with Regulation Operators
Article Menu

Export Article

Open AccessArticle
Information 2017, 8(1), 19; doi:10.3390/info8010019

A Frequency-Based Assignment Model under Day-to-Day Information Evolution of Oversaturated Conditions on a Feeder Bus Service

MOE (Ministry of Education) Key Laboratory for Urban Transportation Complex Systems Theory and Technology, Beijing Jiaotong University, Beijing 100044, China
Author to whom correspondence should be addressed.
Academic Editors: Vitaly Klyuev and Willy Susilo
Received: 9 October 2016 / Revised: 26 January 2017 / Accepted: 28 January 2017 / Published: 4 February 2017
View Full-Text   |   Download PDF [2203 KB, uploaded 4 February 2017]   |  


Day-to-day information is increasingly being implemented in transit networks worldwide. Feeder bus service (FBS) plays a vital role in a public transit network by providing feeder access to hubs and rails. As a feeder service, a space-time path for frequent passengers is decided by its dynamic strategy procedure, in which a day-to-day information self-learning mechanism is identified and analyzed from our survey data. We formulate a frequency-based assignment model considering day-to-day evolution under oversaturated conditions, which takes into account the residual capacity of bus and the comfort feelings of sitting or standing. The core of our proposed model is to allocate the passengers on each segment belonging to their own paths according to multi-utilities transformed from the time values and parametric demands, such as frequency, bus capacity, seat comfort, and stop layout. The assignment method, albeit general, allows us to formulate an equivalent optimization problem in terms of interaction between the FBS’ operation and frequent passengers’ rational behaviors. Finally, a real application case is generated to test the ability of the modeling framework capturing the theoretical consequents, serving the passengers’ dynamic externalities. View Full-Text
Keywords: day-to-day information; feeder bus service; frequency-based; rational behaviors day-to-day information; feeder bus service; frequency-based; rational behaviors

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Zhang, S.; Yuan, Z.; Cao, Z. A Frequency-Based Assignment Model under Day-to-Day Information Evolution of Oversaturated Conditions on a Feeder Bus Service. Information 2017, 8, 19.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Information EISSN 2078-2489 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top