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Title:

Modeling and Solving the Multi-trip Multi-objective Pollution Routing Problem on Urban Road Networks

Accession Number:

01661445

Record Type:

Component

Abstract:

To make informed decisions about sustainable urban freight distribution there is a need to examine the trade off between distribution cost and environmental pollution. This paper formulates and solves a variant of the pollution routing problem on urban road networks that integrates several attributes associated with fuel consumption, and encompasses important characteristics of urban road networks. The problem that is introduced is equivalent to a multi-objective time and load dependent fleet size and mix green vehicle routing problem with time windows, multiple trips, and flexible departure times, which accounts for both business and environmental objectives. Following the introduction of the corresponding mixed integer programming formulation of the proposed problem, a network reduction technique and a hybrid multi-objective evolutionary algorithm are developed as the solution framework and applied on a set of benchmark instances. The results of computational experiments suggest that the proposed method can approximate the efficient frontier of the problem. The presented set of solutions on the efficient frontier can assist the decision maker to make a choice with regard to the trade-off between cost and environmental pollution.

Supplemental Notes:

This paper was sponsored by TRB committee ADB30 Standing Committee on Transportation Network Modeling. Alternate title: Modeling and Solving the Multitrip Multiobjective Pollution Routing Problem on Urban Road Networks

Report/Paper Numbers:

18-05406

Language:

English

Authors:

Raeesi, Ramin
Zografos, Konstantinos G

Pagination:

7p

Publication Date:

2018

Conference:

Transportation Research Board 97th Annual Meeting

Location: Washington DC, United States
Date: 2018-1-7 to 2018-1-11
Sponsors: Transportation Research Board

Media Type:

Digital/other

Features:

Figures; References; Tables

Subject Areas:

Environment; Freight Transportation; Highways; Planning and Forecasting

Source Data:

Transportation Research Board Annual Meeting 2018 Paper #18-05406

Files:

TRIS, TRB, ATRI

Created Date:

Jan 8 2018 11:22AM