Optimal capacity allocation for high occupancy vehicle (HOV) lane in morning commute
Jing-Peng Wang,
Hai-Jun Huang () and
(Jeff) Ban, Xuegang
Physica A: Statistical Mechanics and its Applications, 2019, vol. 524, issue C, 354-361
Abstract:
In this paper, we analyze the optimal capacity allocation for high occupancy vehicle (HOV) lane in morning commute, using the classical bottleneck model to a single corridor. The vehicular traffics are divided as high occupancy vehicle (HOV) and low occupancy vehicle (LOV) based on the number of in-vehicle travelers. The whole corridor is allocated as general purpose (GP) lane and HOV lane, separately with a bottleneck at the end of each lane. The optimal capacity of HOV lane for minimizing the system’s total cost is analytically derived. It is found that with optimal capacity of HOV lane, each HOV traveler experiences lower cost than each LOV traveler. Numerical examples are presented to verify all analytical results.
Keywords: Capacity allocation; High occupancy vehicle; Bottleneck model; Morning commute (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S037843711930425X
Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:524:y:2019:i:c:p:354-361
DOI: 10.1016/j.physa.2019.04.121
Access Statistics for this article
Physica A: Statistical Mechanics and its Applications is currently edited by K. A. Dawson, J. O. Indekeu, H.E. Stanley and C. Tsallis
More articles in Physica A: Statistical Mechanics and its Applications from Elsevier
Bibliographic data for series maintained by Catherine Liu ().