Large-scale and Long-term Forecasting of Performance Measurement of Public Transportation Systems [Research Brief]

Shahabi, Cyrus

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Large-scale and Long-term Forecasting of Performance Measurement of Public Transportation Systems [Research Brief]

2021-09-01
By Shahabi, Cyrus

File Language:

English

Details

Creators:

Shahabi, Cyrus
Corporate Creators:

Pacific Southwest Region 9 UTC, University of Southern California ; METRANS Transportation Center (Calif.)
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

Arrivals And Departures Bus Routes Machine Learning Performance Measurement Public Transit Traffic Forecasting
Resource Type:

Brief
Geographical Coverage:

Los Angeles Metropolitan Area;United States
Edition:

Research Brief
Corporate Publisher:

Pacific Southwest Region University Transportation Center (UTC)
Abstract:

The project objective is to build a machine learning approach and a system to achieve accurate estimations of public bus arrival times by forecasting long-term traffic flows for the entire Los Angeles Metropolitan Area (LAMA).
Format:

PDF
Funding:

65A0674
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:1f55cc4cdc5ad0eba0fe91795dac259618b809b76a1a4ab64fd050099941fd471cb85687252832bd96294bcaeca36d865e4e67280e119f4102fbfc7e70cf2ca2
Download URL:

https://rosap.ntl.bts.gov/view/dot/67532/dot_67532_DS1.pdf
File Type:

[PDF - 305.44 KB ]

File Language:

English

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