Improved Methods for Operating Public Transportation Services

Sanchez, Alex; Unnikrishnan, Avinash; Martinelli, David; Schonfeld, Paul; Kim, Myungseob; West Virginia University. Dept. of Civil and Environmental Engineering; University of Maryland (College Park, Md.). Dept. of Civil and Environmental Engineering

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Improved Methods for Operating Public Transportation Services

2013-03-01
By Sanchez, Alex ; Unnikrishnan, Avinash ; Martinelli, David ; ...

[PDF-1.58 MB]

English

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Creators:

Sanchez, Alex ; Unnikrishnan, Avinash ; Martinelli, David ; Schonfeld, Paul ; Kim, Myungseob

Sanchez, Alex ; Unnikrishnan, Avinash ; Martinelli, David ; Schonfeld, Paul ; Kim, Myungseob Less -
Corporate Creators:

West Virginia University. Dept. of Civil and Environmental Engineering ; University of Maryland (College Park, Md.). Dept. of Civil and Environmental Engineering

West Virginia University. Dept. of Civil and Environmental Engineering ; University of Maryland (College Park, Md.). Dept. of Civil and Environmental Engineering Less -
Corporate Contributors:

United States. Dept. of Transportation. Research and Innovative Technology Administration
Subject/TRT Terms:

[+]

Bus Routes Global Positioning System Public Transit Research Hub Scheduling Special Events Travel Time
Publication/ Report Number:

MAUTC-2011-02
Resource Type:

Tech Report
Geographical Coverage:

United States
Corporate Publisher:

Mid-Atlantic Universities Transportation Center
NTL Classification:

NTL-PLANNING AND POLICY-PLANNING AND POLICY;NTL-PUBLIC TRANSPORTATION-Bus Transportation;
Abstract:

In this joint project, West Virginia University and the University of Maryland collaborated in developing improved methods for analyzing and managing public transportation services. Transit travel time data were collected using GPS tracking services and the resulting trends were analyzed to understand the variations in corridor travel time. Special events like football and basketball games were found to increase travel times significantly. Median was found to be a more robust statistic than mean due to the high number of missing values and discrepancies. Analytical models were developed to minimize the total system cost by jointly optimizing the type of bus services (i.e., conventional or flexible service), vehicle sizes, numbers of zones (i.e., route spacings or service areas) for conventional and flexible bus services, headways, and resulting fleet sizes. For the numerical example tested in the study, conventional bus services were found to be economical over flexible services with given input parameters. For the specific instance tested in the study, total costs of conventional bus services were 9.5~10.8 percent lower than the total costs of flexible bus services, by region.
Format:

PDF
Funding:

DTRT07-G-0003
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:b73250bd1b5b8879a5cf2461e7ad8a93c2d4bec04c13c9f490877b2c9d9914c0
Download URL:

https://rosap.ntl.bts.gov/view/dot/23371/dot_23371_DS1.pdf
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Improved Methods for Operating Public Transportation Services

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