TRB Pubsindex
Text Size:

Title:

Modified Bureau of Public Roads Link Function

Accession Number:

01867231

Record Type:

Component

Availability:

Find a library where document is available


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

Abstract:

The Bureau of Public Roads (BPR) function is a widely used link cost function in transportation planning because of its simple mathematical form, easily measurable field variables, and consistent performance. However, the BPR function is deterministic and does not capture the stochastic relation between travel time and traffic flow. The present study develops a modified BPR (MBPR) function by incorporating travel time uncertainty (TTU) in the deterministic BPR function. In the MBPR function, the effect of TTU is incorporated using two parameters, ? and d. A nonlinear optimization problem is formulated, and the generalized reduced gradient method is used to calibrate the BPR and the MBPR function. The applicability of the proposed MBPR function is demonstrated using empirical data collected for an urban arterial in India and simulated data developed for a real-world urban road network. The proposed MBPR function captures the heterogeneity in travel time for different traffic flow values. The function (a) captures the variability in travel time under oversaturated conditions and (b) captures the time-dependent relation between traffic volume and delay. The physical meaning of ? and d in the context of inter-day heterogeneity, infrastructure potential, and traffic flow heterogeneity are discussed. The practical application of MBPR as an analytical tool for system-wide performance evaluation is demonstrated by investigating the impact of traffic signal control on travel times using a before–after perspective. Compared with the before case, a 13% reduction in travel time is observed for the after case. Therefore, the installation of traffic signal control has reduced congestion.

Supplemental Notes:

Shriniwas Arkatkar https://orcid.org/0000-0002-1804-9465© National Academy of Sciences: Transportation Research Board 2022.

Language:

English

Authors:

Gore, Ninad
Arkatkar, Shriniwas

ORCID 0000-0002-1804-9465

Joshi, Gaurang
Antoniou, Constantinos

ORCID 0000-0003-0203-9542

Pagination:

pp 966-990

Publication Date:

2023-5

Serial:

Transportation Research Record: Journal of the Transportation Research Board

Volume: 2677
Issue Number: 5
Publisher: Sage Publications, Incorporated
ISSN: 0361-1981
EISSN: 2169-4052
Serial URL: http://journals.sagepub.com/home/trr

Media Type:

Web

Features:

References (56)

Subject Areas:

Highways; Operations and Traffic Management; Planning and Forecasting

Files:

TRIS, TRB, ATRI

Created Date:

Dec 10 2022 3:03PM