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Chunwei Hu, Xianfeng Liu, Sheng Wu, Fei Yu, Yongkun Song and Jin Zhang
Accurate crowd flow prediction is essential for traffic guidance and traffic control. However, the high nonlinearity, temporal complexity, and spatial complexity that crowd flow data have makes this problem challenging. This research proposes a dynamic g...
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Wen Tian, Yining Zhang, Ying Zhang, Haiyan Chen and Weidong Liu
To fully leverage the spatiotemporal dynamic correlations in air traffic flow and enhance the accuracy of traffic flow prediction models, thereby providing a more precise basis for perceiving congestion situations in the air route network, a study was co...
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Zhihong Chang, Chunsheng Liu and Jianmin Jia
As an important component of intelligent transportation-management systems, accurate traffic-parameter prediction can help traffic-management departments to conduct effective traffic management. Due to the nonlinearity, complexity, and dynamism of highwa...
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Zijie Ding, Zhuoshi He, Zhihui Huang, Junfang Wang and Hang Yin
Accurate traffic flow prediction is highly important for relieving road congestion. Due to the intricate spatial?temporal dependence of traffic flows, especially the hidden dynamic correlations among road nodes, and the dynamic spatial?temporal character...
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Zijie Ding, Zhuoshi He, Zhihui Huang, Junfang Wang and Hang Yin
Accurate traffic flow prediction is highly important for relieving road congestion. Due to the intricate spatial?temporal dependence of traffic flows, especially the hidden dynamic correlations among road nodes, and the dynamic spatial?temporal character...
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Zheng Zhao, Jialing Yuan and Luhao Chen
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused by the imbalance between capacity and demand in an airspace network. Furthermore, it is an important parameter for the ex-post analysis of airspace congestion and t...
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Chang Guo, Jianfeng Zhu and Xiaoming Wang
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS), real-time and accurate traffic flow prediction has emerged as an ef...
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Chang Guo, Demin Li and Xuemin Chen
Analysis of traffic flow signals plays an important role in traffic prediction and management. As an intrinsic property, the singular point of a traffic flow signal labels a new nonsteady status. Therefore, detecting the singular point is an effective ap...
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Qingyong Zhang, Lingfeng Zhou, Yixin Su, Huiwen Xia and Bingrong Xu
Considering the spatial and temporal correlation of traffic flow data is essential to improve the accuracy of traffic flow prediction. This paper proposes a traffic flow prediction model named Dual Spatial Convolution Gated Recurrent Unit (DSC-GRU). In p...
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Mahmoud Ragab, Hesham A. Abdushkour, Louai Maghrabi, Dheyaaldin Alsalman, Ayman G. Fayoumi and Abdullah AL-Malaise AL-Ghamdi
Traffic flow monitoring plays a crucial role in Intelligent Transportation Systems (ITS) by dealing with real-time data on traffic situations and allowing effectual traffic management and optimization. A typical approach used for traffic flow monitoring ...
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Xiaoyuan Feng, Yue Chen, Hongbo Li, Tian Ma and Yilong Ren
Traffic flow prediction is an important function of intelligent transportation systems. Accurate prediction results facilitate traffic management to issue early congestion warnings so that drivers can avoid congested roads, thus directly reducing the ave...
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Tian Xu and Qingnian Zhang
To analyze the changing characteristics of ship traffic flow in wind farms water area, and to improve the accuracy of ship traffic flow prediction, a Gated Recurrent Unit (GRU) of a Recurrent Neural Network (RNN) was established to analyze multiple traff...
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Xinqiang Chen, Chenxin Wei, Guiliang Zhou, Huafeng Wu, Zhongyu Wang and Salvatore Antonio Biancardo
Automatic Identification System (AIS) data-supported ship trajectory analysis consistently helps maritime regulations and practitioners make reasonable traffic controlling and management decisions. Significant attentions are paid to obtain an accurate sh...
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Junwei Zhou, Xizhong Qin, Kun Yu, Zhenhong Jia and Yan Du
Accurate urban traffic flow prediction plays a vital role in Intelligent Transportation System (ITS). The complex long-term and long-range spatiotemporal correlations of traffic flow pose a significant challenge to the prediction task. Most current resea...
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Mohammed Akallouch, Oussama Akallouch, Khalid Fardousse, Afaf Bouhoute and Ismail Berrada
Accurate and timely traffic information is a vital element in intelligent transportation systems and urban management, which is vitally important for road users and government agencies. However, existing traffic prediction approaches are primarily based ...
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Zhen Yan, Hongyu Yang, Fan Li and Yi Lin
Airport traffic flow prediction is a fundamental research topic in the field of air traffic flow management. Most existing works focus on the single airport traffic flow prediction with temporal dynamics but fail to consider the influence of the topologi...
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Tuo Sun, Bo Sun, Zehao Jiang, Ruochen Hao and Jiemin Xie
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Milo? Mladenovic, Dra?enko Glavic, Marina Milenkovic
Pág. 11 - 16
Investment in road infrastructure, i.e. its construction and maintenance, requires significant financial resources. When it comes to undeveloped and developing countries with limited funds, the available resources must be exploited in the most rational m...
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Dangli Wang, Yangran Meng, Shuzhe Chen, Cheng Xie and Zhao Liu
Accurate vessel traffic flow prediction is significant for maritime traffic guidance and control. According to the characteristics of vessel traffic flow data, a new hybrid model, named DWT?Prophet, is proposed based on the discrete wavelet decomposition...
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Donato Impedovo, Vincenzo Dentamaro, Giuseppe Pirlo and Lucia Sarcinella
Vehicular traffic flow prediction for a specific day of the week in a specific time span is valuable information. Local police can use this information to preventively control the traffic in more critical areas and improve the viability by decreasing, al...
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