Modeling and Enhancing Freight Mobility in the Philadelphia Region

Qian, Sean; Choudhry, Arnav

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Modeling and Enhancing Freight Mobility in the Philadelphia Region

2020-07-07
By Qian, Sean ; Choudhry, Arnav

File Language:

English

Details

Creators:

Qian, Sean ; Choudhry, Arnav
Corporate Creators:

Mobility21, Carnegie Mellon University
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:
Resource Type:

Tech Report
Geographical Coverage:

United States;Philadelphia (Pennsylvania)
Edition:

Final Research Report
Corporate Publisher:

Mobility21, Carnegie Mellon University
Abstract:

This research project analyzes freight transportation data and enhances the regional freight transportation model to better estimate and forecast truck travel in the Philadelphia region. In particular, this project infers truck activity from global positioning system (GPS) traces data (acquired by Delaware Valley Regional Planning Commission). Identifying truck activity in this case refers to identifying stops made by the truck, identifying hubs of operations (if they exist), and identifying tours and trips made by the truck. In an effort to achieve the above stated goal, two additional sub-activities were undertaken. First, developing device matching/chaining methods to deal with the issue of several device identifiers resetting at midnight. Second, developing clustering methods for stops to remove false positive stops and infer hubs of operations. Finally, files containing the device/truck activity information were created.
Format:

PDF
Funding:

69A3551747111
Download URL:

https://rosap.ntl.bts.gov/view/dot/56085/dot_56085_DS1.pdf
File Type:

[PDF - 550.89 KB]
Collection(s):

University Transportation Centers ; US Transportation Collection
Main Document Checksum:

urn:sha-512:879907a58bcde82855a23b95f297d270e38a9947afef8d046b9c37b2dbd42bcf3f80fd5cf03cb3e6f3a9366a30d101b07d5b776c5e48125bb7af3a4681c0129d

File Language:

English

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