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  • Open Access

    ARTICLE

    EV Charging Station Load Prediction in Coupled Urban Transportation and Distribution Networks

    Benxin Li*, Xuanming Chang

    Energy Engineering, Vol.121, No.10, pp. 3001-3018, 2024, DOI:10.32604/ee.2024.051332 - 11 September 2024

    Abstract The increasingly large number of electric vehicles (EVs) has resulted in a growing concern for EV charging station load prediction for the purpose of comprehensively evaluating the influence of the charging load on distribution networks. To address this issue, an EV charging station load prediction method is proposed in coupled urban transportation and distribution networks. Firstly, a finer dynamic urban transportation network model is formulated considering both nodal and path resistance. Then, a finer EV power consumption model is proposed by considering the influence of traffic congestion and ambient temperature. Thirdly, the Monte Carlo method… More > Graphic Abstract

    EV Charging Station Load Prediction in Coupled Urban Transportation and Distribution Networks

  • Open Access

    ARTICLE

    Modeling of Artificial Intelligence Based Traffic Flow Prediction with Weather Conditions

    Mesfer Al Duhayyim1, Amani Abdulrahman Albraikan2, Fahd N. Al-Wesabi3,4, Hiba M. Burbur5, Mohammad Alamgeer6, Anwer Mustafa Hilal7, Manar Ahmed Hamza7,*, Mohammed Rizwanullah7

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3953-3968, 2022, DOI:10.32604/cmc.2022.022692 - 07 December 2021

    Abstract Short-term traffic flow prediction (TFP) is an important area in intelligent transportation system (ITS), which is used to reduce traffic congestion. But the avail of traffic flow data with temporal features and periodic features are susceptible to weather conditions, making TFP a challenging issue. TFP process are significantly influenced by several factors like accident and weather. Particularly, the inclement weather conditions may have an extreme impact on travel time and traffic flow. Since most of the existing TFP techniques do not consider the impact of weather conditions on the TF, it is needed to develop… More >

  • Open Access

    ARTICLE

    The Development of Generalized Public Bicycles in China and Its Role in the Urban Transportation System

    Yang Tang1,*, Weiwei Liu1, Yihao He1, Yuelin Zhang2, Fulong Zhang2

    Journal on Internet of Things, Vol.2, No.3, pp. 101-107, 2020, DOI:10.32604/jiot.2020.010108 - 16 September 2020

    Abstract Public bicycle service has experienced 15 years of development in Chinese cities, and mainland China is the world's largest public bicycle market. Choosing to use public bicycles is becoming more and more a daily habit of residents. Broadly speaking, public bicycles in Chinese cities include both public bikes with service stations and shared bicycles without service stations. Based on historical review and years of accumulated data, this paper reviews the development of general public bicycles in Chinese cities in the past 15 years. And the role of general public bicycles in China’s urban transportation system More >

  • Open Access

    ARTICLE

    Simulation of Real‐Time Path Planning for Large‐Scale Transportation Network Using Parallel Computation

    Jiping Liua,b, Xiaochen Kanga,*, Chun Donga, Fuhao Zhanga

    Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 65-77, 2019, DOI:10.31209/2018.100000013

    Abstract To guarantee both the efficiency and accuracy of the transportation system, the real-time status should be analyzed to provide a reasonable plan for the near future. This paper proposes a model for simulating the real-world transportation networks by representing the irregular road networks with static and dynamic attributes, and the vehicles as moving agents constrained by the road networks. The all pairs shortest paths (APSP) for the networks are calculated in a real-time manner, and the ever-changing paths can be used for navigating the moving vehicles with real-time positioning devices. In addition, parallel computation is More >

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