The enormous increase in the number of vehicles in the cities makes plenty of problems including air pollution, noise pollution, and traffic jam. Overcoming these annoying issues needs a significant plan in urban management such as using modern techniques in public transportation systems. Sharing either cars or taxies is one of the most interesting ways that has been used in some countries recently. In this phenomenon, 2 or 3 people use other’s car or taxi. In this article, an innovative approach to share taxies is proposed, and it uses a Genetic Algorithm to determine the placement of travelers in taxies. Therefore, some taxis will be switched off, and this helps to decrease urban traffic jam in cities. The results present that the proposed model turns off 69.8 % of taxies, and also 27.8 % of them carry more than one passenger; hence, this confirms the performance of the proposed model.


    Access

    Download


    Export, share and cite



    Title :

    A NOVEL APPROACH TO OPTIMIZE THE RIDESHARING PROBLEM USING GENETIC ALGORITHM


    Contributors:
    S. Rangriz (author) / M. Davoodi (author) / J. Saberian (author)


    Publication date :

    2019




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    Unknown




    Sub-optimization of individual routes to optimize ridesharing fleet

    RAKAH YARON / SHOVAL OREN / RAMOT DANIEL et al. | European Patent Office | 2019

    Free access

    RIDESHARING SUPPORT SYSTEM, RIDESHARING SUPPORT METHOD, AND RIDESHARING SUPPORT DEVICE

    MORIOKA WATARU | European Patent Office | 2019

    Free access

    Ridesharing management device, ridesharing management method, and program

    FUJIMOTO NAOTOSHI / ITO YO / IWAMOTO SUSUMU et al. | European Patent Office | 2024

    Free access

    Ridesharing 1981

    D. W. Wiersig / F. W. Davis / D. A. Burkhalter et al. | NTIS | 1982


    A column generation approach for a dynamic ridesharing problem

    Kim, Minsu / Kim, Hyunwoo / Moon, Ilkyeong | Taylor & Francis Verlag | 2023