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Vehicle Dynamics in Pickup-And-Delivery Problems Using Electric Vehicles

Authors Saman Ahmadi , Guido Tack, Daniel Harabor, Philip Kilby

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Author Details

Saman Ahmadi
  • Department of Data Science and AI, Monash University, Victoria, Australia
  • CSIRO Data61, Canberra, Australia
Guido Tack
  • Department of Data Science and AI, Monash University, Victoria, Australia
Daniel Harabor
  • Department of Data Science and AI, Monash University, Victoria, Australia
Philip Kilby
  • CSIRO Data61, Canberra, Australia

Funding

Research at Monash University is supported by the Australian Research Council (ARC) under grant numbers DP190100013 and DP200100025 as well as a gift from Amazon.

Cite AsGet BibTex

Saman Ahmadi, Guido Tack, Daniel Harabor, and Philip Kilby. Vehicle Dynamics in Pickup-And-Delivery Problems Using Electric Vehicles. In 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 210, pp. 11:1-11:17, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
https://doi.org/10.4230/LIPIcs.CP.2021.11

Abstract

Electric Vehicles (EVs) are set to replace vehicles based on internal combustion engines. Path planning and vehicle routing for EVs need to take their specific characteristics into account, such as reduced range, long charging times, and energy recuperation. This paper investigates the importance of vehicle dynamics parameters in energy models for EV routing, particularly in the Pickup-and-Delivery Problem (PDP). We use Constraint Programming (CP) technology to develop a complete PDP model with different charger technologies. We adapt realistic instances that consider vehicle dynamics parameters such as vehicle mass, road gradient and driving speed to varying degrees. The results of our experiments show that neglecting such fundamental vehicle dynamics parameters can affect the feasibility of planned routes for EVs, and fewer/shorter charging visits will be planned if we use energy-efficient paths instead of conventional shortest paths in the underlying system model.

Subject Classification

ACM Subject Classification
  • Computing methodologies → Planning and scheduling
Keywords
  • Electric vehicle routing
  • pickup-and-delivery problem
  • vehicle dynamics

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References

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