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Title:

Linkage Problem in Location Optimization of Dedicated Bus Lanes on a Network

Accession Number:

01872400

Record Type:

Component

Availability:

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Order URL: http://worldcat.org/issn/03611981

Abstract:

Methods for identifying optimal decisions for dedicated bus lane locations (DBLs) on a network have been extensively studied in the literature. However, the impacts in relation to changes to car and bus delays of deploying a DBL on a given link largely depend on where other DBLs exist on the network. Therefore, for a network-wide location optimization or a bus lane design problem, linkages exist between decision variables. Typically used metaheuristic methods to optimize DBL locations, such as genetic algorithms (GAs), do not perform well for such problems with linkages between decision variables. To this end, this paper has two novel contributions to the literature by (a) demonstrating that the linkage problem exists, and (b) testing different heuristic algorithms that are more suitable than GAs for optimizing the locations of DBL on a network. The linkage problem in the location optimization of DBLs is demonstrated by enumerating all possible bus lane locations in a small grid network. Next, optimization algorithms that do not enumerate all possible bus lane locations that are capable of learning linkages between decision variables, namely Bayesian algorithm and a population-based incremental learning algorithm, are proposed. These algorithms are compared with two types of GAs in relation to consistency and quality of the solutions, and exploration capability. Results show that algorithms that can learn linkages between decision variables perform better than the GAs.

Supplemental Notes:

Murat Bayrak https://orcid.org/0000-0003-1600-333X© National Academy of Sciences: Transportation Research Board 2023.

Language:

English

Authors:

Bayrak, Murat

ORCID 0000-0003-1600-333X

Guler, S. Ilgin

ORCID 0000-0001-6255-3135

Pagination:

pp 433-447

Publication Date:

2023-6

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2677
Issue Number: 6
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (52)

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting; Public Transportation; Terminals and Facilities

Files:

TRIS, TRB, ATRI

Created Date:

Feb 1 2023 3:03PM