WeRoute: Route Optimization Web-Based System and Driver Mobile Application

  • Ang Pei Ying
  • Justtina Anantha Jothi
  • Nursakirah ARM
Keywords: Genetic Algorithm, Route Optimisation, Vehicle Routing Problem, Web-Based System

Abstract

This paper intends to conceptualise an optimisation solution for vehicle routing that can get the best routing result and release the most optimal route to the driver, namely WeRoute. The objectives of the paper are to manage the data efficiently, save time, reduce cost, enhance customer satisfaction, and decrease the emission of carbon. Moreover, this is also known as the vehicle routing problem, which deals with a range of variables, including drivers, stops, roads, and customers. The method, Genetic algorithm, was developed to improve the efficiency of generating feasible routes for a project. A team of drivers and several stops are needed to generate the solution of optimising the vehicle routing. It can be said that the more drivers or stops, the more complicated the problem becomes, such as cost controls and vehicle limitations. Thus, a route optimisation tool slowly becomes the key to ensuring the delivery business as efficiently as possible.

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Author Biographies

Ang Pei Ying

Department of Computing, UOW Malaysia KDU Penang University College. Pulau Penang, Malaysia.

Justtina Anantha Jothi

Department of Computing, UOW Malaysia KDU Penang University College. Pulau Penang, Malaysia.

Nursakirah ARM

Department of Computing, UOW Malaysia KDU Penang University College. Pulau Penang, Malaysia.

This is an open access article, licensed under CC-BY-SA

Creative Commons License
Published
        Views : 240
2021-12-23
    Downloads : 284
How to Cite
[1]
A. P. Ying, J. A. Jothi, and N. ARM, “WeRoute: Route Optimization Web-Based System and Driver Mobile Application”, International Journal of Artificial Intelligence, vol. 8, no. 2, pp. 78-87, Dec. 2021.
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Articles

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