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abstract

The Pit Stop Problem: How to Plan Your Next Road Trip

Published: 15 February 2022 Publication History

Abstract

Many online trip planning and navigation software need to routinely solve the problem of deciding where to take stops during a journey for various services such as refueling (or EV charging), rest stops, food, etc. The goal is to minimize the overhead of these stops while ensuring that the traveler is not starved of any essential resource (such as fuel, rest, or food) during the journey. In this paper, we formally model this problem and call it the pit stop problem. We design algorithms for this problem under various settings: single vs multiple types of stops, and offline vs online optimization (i.e., in advance of or during the trip). Our algorithms achieve provable guarantees in terms of approximating the optimal solution. We then extensively evaluate our algorithms on real world data and demonstrate that they significantly outperform baseline solutions.

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MP4 File (WSDM22-smart02.mp4)
In this talk we will formulate a combinatorial model for the problem of planning stops on a long road trip. Stops are meant to replenish resources such as fuel, electric vehicle battery, food, etc. We will go over an online algorithm with provable guarantees for the setting with uncertain time costs on the stops. We will also discuss experiments on the European road network that show the efficacy of the algorithm against natural baselines.

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Published In

cover image ACM Conferences
WSDM '22: Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
February 2022
1690 pages
ISBN:9781450391320
DOI:10.1145/3488560
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 February 2022

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  1. electric vehicle routing
  2. online algorithms

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WSDM '22

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Overall Acceptance Rate 498 of 2,863 submissions, 17%

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