Abstract
We investigate a specific version of the Green Vehicle Routing Problem, in which we assume the availability of a mixed vehicle fleet composed of electrical and conventional (internal combustion engine) vehicles. These are typically light- and medium-duty vehicles. We allow partial battery recharging at any of the available stations. In addition, we use a comprehensive energy consumption model which can take into account speed, acceleration, deceleration, load cargo and gradients. We propose a matheuristic embedded within a large neighborhood search scheme. In a numerical study we evaluate the performance of the proposed approach.
| Original language | English |
|---|---|
| Pages (from-to) | 971-982 |
| Number of pages | 12 |
| Journal | European Journal of Operational Research |
| Volume | 276 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 1 Aug 2019 |
Funding
This work was partly funded by the Canadian Natural Sciences and Engineering Research Council under grant 2015–06189 . This support is gratefully acknowledged. Thanks are due to the referees for their valuable comments.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 7 Affordable and Clean Energy
Keywords
- Green vehicle routing
- Hybrid large neighborhood search
- Logistics
- Matheuristic
- Mixed fleet
- Sustainability
ASJC Scopus subject areas
- General Computer Science
- Modelling and Simulation
- Management Science and Operations Research
- Information Systems and Management
Fingerprint
Dive into the research topics of 'An energy-efficient green-vehicle routing problem with mixed vehicle fleet, partial battery recharging and time windows'. Together they form a unique fingerprint.Cite this
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS