Proceedings of the 1st International Conference on Sustainable Engineering Development and Technological Innovation, ICSEDTI 2022, 11-13 October 2022, Tanjungpinang, Indonesia

Research Article

A Review of Artificial Intelligence-Enabled Electric Vehicles in Traffic Congestion Management

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  • @INPROCEEDINGS{10.4108/eai.11-10-2022.2326421,
        author={Sakti Prajna Mahardhika and Okkie  Putriani},
        title={A Review of Artificial Intelligence-Enabled Electric Vehicles in Traffic Congestion Management},
        proceedings={Proceedings of the 1st International Conference on Sustainable Engineering Development and Technological Innovation, ICSEDTI 2022, 11-13 October 2022, Tanjungpinang, Indonesia},
        publisher={EAI},
        proceedings_a={ICSEDTI},
        year={2023},
        month={1},
        keywords={artificial intelligence electric vehicles traffic congestion},
        doi={10.4108/eai.11-10-2022.2326421}
    }
    
  • Sakti Prajna Mahardhika
    Okkie Putriani
    Year: 2023
    A Review of Artificial Intelligence-Enabled Electric Vehicles in Traffic Congestion Management
    ICSEDTI
    EAI
    DOI: 10.4108/eai.11-10-2022.2326421
Sakti Prajna Mahardhika1,*, Okkie Putriani1
  • 1: Departement of Civil Engineering, Faculty of Engineering, Universitas Atma Jaya Yogyakarta, Jalan Babarsari 44 Yogyakarta, Indonesia
*Contact email: saktimahardhika17@gmail.com

Abstract

Artificial Intelligence (AI) has been widely used in many sectors, including in the field of transportation. AI is used not only in manufacturing automated smart vehicles but also to optimize power in electric vehicles. In the same way, various types of electric vehicles, such as Battery Electric Vehicles (BEV), Hybrid Electric Vehicles (HEV), etc., are increasingly being developed for environmentally friendly vehicles. In this review, AI can help optimize the power of electric vehicles when traffic congestion happens. Based on the literature review, Traffic Congestion Management with AI technology on electric vehicles can detect several conditions. These conditions can be occurred in traffic congestion such as stress on drivers. While waiting for traffic jams, the drivers requires alternative road solutions and offers entertainment options. AI will predict how long the traffic congestion will last.