METRANS UTC

Investigating Impact of Crowdsourcing on Smart Freight Mobility

Project Number

17-02

Project Summary

The contribution of crowdsourcing in improving transportation efficiency in real time is evolving rapidly and qualitatively, creating the need to develop models that characterize smart freight mobility. Therefore, this research will develop such analytical models that leverage both crowdsourced data on traffic conditions and data such as commodity flows, fuel consumption etc. of conventional freight to design operations of a smart freight system. A sequence of four interrelated objectives aptly define the approach, which are as follows: 

1.      Identifying sources of available conventional freight data – such as commodity flow, truck volume, air cargo volume etc. across all modes.

2.      Integrating crowdsourced data with conventional freight truck data for model building

3.      Building stochastic models for mobility that characterize smart freight, and finally

4.      Estimating efficiency (in fuel consumption, ton-miles traveled etc.) from the predictive capabilities of the models for smart freight system.

Project Status

Complete

Year

2017

Topic Area

Sustainable Urban Freight

P.I. Name & Address

Assistant Professor , Department of Civil Engineering and Construction Engineering Management
California State University, Long Beach
1250 Bellflower Blvd
VEC 506
Long Beach, CA 90840
United States
shailesh.chandra@csulb.edu

Funding Source

US DOT

Total Project Cost

$27,690

Agency ID or Contract Number

 

Start and End Dates

9/1/2017 – 8/31/2018