TY - JOUR
T1 - ABM-GIS simulation for urban freight distribution of perishable food
AU - El-Raoui, Hanane
AU - Oudani, Mustapha
AU - El Hilali Alaoui, Ahmed
N1 - © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0
(http://creativecommons.org/licenses/by/4.0/).
ABM-GIS simulation for urban freight distribution of perishable food, Hanane El Raoui, Mustapha Oudani and Ahmed El Hilali Alaoui, MATEC Web Conf., 200 (2018) 00006, DOI: https://doi.org/10.1051/matecconf/201820000006
PY - 2018/9/14
Y1 - 2018/9/14
N2 - Freight transport is essential to modern urban civilization. No urban area could exist without a powerful freight transport system. However, the distribution of perishable foods in urban areas is seen as a source of problems, due to traffic congestion, time pressures, and environmental impact. In this paper, an Agent-Based Model integrated with Geographic Information Systems (ABM-GIS) is designed for a time-dependent vehicle routing problem with time windows. This simulation model consists of determining the quickest routes to transport fresh products, estimating Vehicle kilometer traveled VKT and vehicle hour traveled VHT where speeds and travel times depend on the time of the day. Based on a case study, analyses of changes on traffic condition were conducted to get an insight into the impact of these changes on cost, service quality represented by the respect of time windows, and carbon emissions. The results reveal that traffic jams and restrictive time windows lead to additional cost, cause delays, and increase co2 emission. As for a short-term planning, time-dependent scheduling algorithm was proposed and assessed while extending time windows. Results have proved the potential saving in cost, travel time, and carbon emission.
AB - Freight transport is essential to modern urban civilization. No urban area could exist without a powerful freight transport system. However, the distribution of perishable foods in urban areas is seen as a source of problems, due to traffic congestion, time pressures, and environmental impact. In this paper, an Agent-Based Model integrated with Geographic Information Systems (ABM-GIS) is designed for a time-dependent vehicle routing problem with time windows. This simulation model consists of determining the quickest routes to transport fresh products, estimating Vehicle kilometer traveled VKT and vehicle hour traveled VHT where speeds and travel times depend on the time of the day. Based on a case study, analyses of changes on traffic condition were conducted to get an insight into the impact of these changes on cost, service quality represented by the respect of time windows, and carbon emissions. The results reveal that traffic jams and restrictive time windows lead to additional cost, cause delays, and increase co2 emission. As for a short-term planning, time-dependent scheduling algorithm was proposed and assessed while extending time windows. Results have proved the potential saving in cost, travel time, and carbon emission.
KW - geographic information systems GIS
KW - urban freight
KW - perishable food
KW - freight transport
KW - time-dependent vehicle routing
KW - time-dependent scheduling algorithm
U2 - 10.1051/matecconf/201820000006
DO - 10.1051/matecconf/201820000006
M3 - Article
SN - 2261-236X
VL - 200
SP - 1
EP - 8
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
IS - 2018
M1 - 00006
T2 - International Workshop on Transportation and Supply Chain Engineering (IWTSCE’18)
Y2 - 8 May 2018 through 9 May 2018
ER -