A novel arc-routing problem of electric powered street sweepers with time windows and intermediate stops

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Date

2019

Authors

Cansu Yurtseven
Mahmut Ali Gökçe

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier B.V.

Open Access Color

GOLD

Green Open Access

Yes

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No
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Average
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Average
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Top 10%

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Abstract

Waste collection is an important public service performed by municipalities. Powered street sweeping is an important part of waste collection. Recently electric powered street sweepers are used at an increasing rate for due to their energy efficiency. It is important to provide this public service at a minimum cost. We propose a novel mathematical model for determining routing of electric powered street sweepers considering a heterogeneous fleet with different capacities and battery levels to perform a predetermined service with realistic operational constraints. The objective is to minimize energy consumption used to provide the service travelling and disposal operations. © 2021 Elsevier B.V. All rights reserved.

Description

Keywords

Electric Vehicle Arc Routing, Optimization, Partial Recharge, Street Sweeping, Waste Collection, Energy Efficiency, Energy Utilization, Optimization, Arc Routing, Arc Routing Problems, Heterogeneous Fleet, Operational Constraints, Partial Recharge, Public Services, Street Sweeping, Waste Collection, Solid Wastes, Energy efficiency, Energy utilization, Optimization, Arc routing, Arc routing problems, Heterogeneous fleet, Operational constraints, Partial recharge, Public services, Street sweeping, Waste collection, Solid wastes, Waste Collection, Partial Recharge, Electric Vehicle Arc Routing, Street Sweeping, Optimization

Fields of Science

0502 economics and business, 05 social sciences, 0211 other engineering and technologies, 02 engineering and technology

Citation

WoS Q

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OpenCitations Citation Count
8

Source

9th IFAC Conference on Manufacturing Modelling Management and Control MIM 2019

Volume

52

Issue

13

Start Page

2308

End Page

2313
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CrossRef : 9

Scopus : 7

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Mendeley Readers : 18

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