Robust solutions to the pollution-routing problem with demand and travel time uncertainty

Reza Eshtehadi; Mohammad Fathian; Emrah Demir

doi:10.1016/j.trd.2017.01.003

Robust solutions to the pollution-routing problem with demand and travel time uncertainty

Reza Eshtehadi
, Mohammad Fathian
, Emrah Demir

Management Science & Engineering

Iran University of Science and Technology

Research output: Contribution to journal › Article › peer-review

80 Scopus citations

Abstract

Freight transportation activities could potentially lead to detrimental effects on the natural and built environments and pose health risks. The importance of the present study is to consider demand and travel time uncertainty in green transport planning by proposing several robust optimization techniques; soft worst case, hard worst case and chance constraints. These techniques provide the most reliable solutions with very limited increase in the objective function related to fuel consumption and CO₂-equivalent emissions.

Original language	British English
Pages (from-to)	351-363
Number of pages	13
Journal	Transportation Research Part D: Transport and Environment
Volume	51
DOIs	https://doi.org/10.1016/j.trd.2017.01.003
State	Published - 1 Mar 2017

Keywords

COe emissions
Freight transportation
Green vehicle routing
Robust optimization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.trd.2017.01.003

Cite this

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title = "Robust solutions to the pollution-routing problem with demand and travel time uncertainty",

abstract = "Freight transportation activities could potentially lead to detrimental effects on the natural and built environments and pose health risks. The importance of the present study is to consider demand and travel time uncertainty in green transport planning by proposing several robust optimization techniques; soft worst case, hard worst case and chance constraints. These techniques provide the most reliable solutions with very limited increase in the objective function related to fuel consumption and CO2-equivalent emissions.",

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AU - Eshtehadi, Reza

AU - Fathian, Mohammad

AU - Demir, Emrah

PY - 2017/3/1

Y1 - 2017/3/1

N2 - Freight transportation activities could potentially lead to detrimental effects on the natural and built environments and pose health risks. The importance of the present study is to consider demand and travel time uncertainty in green transport planning by proposing several robust optimization techniques; soft worst case, hard worst case and chance constraints. These techniques provide the most reliable solutions with very limited increase in the objective function related to fuel consumption and CO2-equivalent emissions.

AB - Freight transportation activities could potentially lead to detrimental effects on the natural and built environments and pose health risks. The importance of the present study is to consider demand and travel time uncertainty in green transport planning by proposing several robust optimization techniques; soft worst case, hard worst case and chance constraints. These techniques provide the most reliable solutions with very limited increase in the objective function related to fuel consumption and CO2-equivalent emissions.

KW - COe emissions

KW - Freight transportation

KW - Green vehicle routing

KW - Robust optimization

UR - https://www.scopus.com/pages/publications/85013489216

U2 - 10.1016/j.trd.2017.01.003

DO - 10.1016/j.trd.2017.01.003

M3 - Article

AN - SCOPUS:85013489216

SN - 1361-9209

VL - 51

SP - 351

EP - 363

JO - Transportation Research Part D: Transport and Environment

JF - Transportation Research Part D: Transport and Environment

ER -

Robust solutions to the pollution-routing problem with demand and travel time uncertainty

Abstract

Keywords

UN SDGs

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