Impacts of Freight Consolidation and Truck Sharing on Freight Mobility [supporting datasets]

Liu, Tieming; Zhao, Chaoyue; Transportation Consortium of the South-Central States; University Transportation Centers Program (U.S.)

doi:10.5281/zenodo.3237605

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Impacts of Freight Consolidation and Truck Sharing on Freight Mobility [supporting datasets]

2019-04-01
By Liu, Tieming ; Zhao, Chaoyue

[PDF-164.06 KB]

English

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Details:

Creators:

Liu, Tieming ; Zhao, Chaoyue

Liu, Tieming ; Zhao, Chaoyue Less -
Corporate Creators:

Transportation Consortium of the South-Central States ; University Transportation Centers Program (U.S.)

Transportation Consortium of the South-Central States ; University Transportation Centers Program (U.S.) Less -
Subject/TRT Terms:

[+]

Algorithms Cargo Consolidation Case Studies Consolidations Costs Delivery Service Emission Studies Forecasting Freight Transportation Impacts Linear Regression Analysis Mixed Integer Programming Optimization Pickup And Delivery Routing Pollutants Routes Trucks Vehicle Sharing
Publication/ Report Number:

17ITSOKS02
DOI:

https://doi.org/10.5281/zenodo.3237605
Resource Type:

Dataset
Geographical Coverage:

United States
Corporate Publisher:

Transportation Consortium of South-Central States
Abstract:

The trucking industry is an important sector of the U.S. economy. However, it is quite fragmented, hindering the efficiency of cargo transportation and the ability for small carriers to identify demands to fill full truck loads. The focus of this research is to study models and algorithms in order to aid online freight marketplaces to identify efficient consolidation strategies. To accomplish this aim, a new mixed integer programming model for the pickup and delivery problem has been developed. The model is geared towards identifying effective freight consolidation opportunities. A branch-and-cut algorithm to solve the model was also developed. The model was applied to several case studies using Transplace, Inc. (a third party logistics company) route data to identify optimized, consolidated routes. Emission impacts were also estimated for both the existing and consolidated routes using monetary equivalent cost (MEC) values. A linear regression model was developed to predict freight movement between metropolitan statistical areas (MSAs). Results of the case studies were then applied to estimate the operation and environment-related costs associated with freight movement from New Orleans MSA to Oklahoma City MSA for all commodities. Finally, the results of the case studies were applied at the national level and projected for future years, to estimate the potential cost savings in freight consolidation. Results indicate that it may be possible to consolidate cargo with only 67% of the currently used number of trucks, which may reduce the operation cost by 23% and MEC by 17%
Format:

ZIP
Alternate URL:

https://doi.org/10.5281/zenodo.3237605
Funding:

69A3551747106
Collection(s):

University Transportation Centers US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:93f685e288afe73426c0adfccb747005f12e95c3df1152cdb792385e65a34cf5
Download URL:

https://rosap.ntl.bts.gov/view/dot/42506/dot_42506_DS1.pdf
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Impacts of Freight Consolidation and Truck Sharing on Freight Mobility [supporting datasets]

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Supporting Files

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