gps trajectory
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2022 ◽  
Vol 98 ◽  
pp. 103240
Author(s):  
Zihan Kan ◽  
Mei-Po Kwan ◽  
Dong Liu ◽  
Luliang Tang ◽  
Yang Chen ◽  
...  

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 7341
Author(s):  
Xueying Song ◽  
Zheng Yang ◽  
Tao Wang ◽  
Chaoyang Li ◽  
Yi Zhang ◽  
...  

Dynamic traffic flow, which can facilitate the efficient operation of traffic road networks, is an important prerequisite for the application of reasonable assignment of traffic demands in an urban road network. In order to improve the accuracy of dynamic traffic flow assignment, this paper proposes a dynamic traffic flow assignment model based on GPS trajectory data and the influence of POI. First, this paper explores the impact patterns of POI on regional road network congestion during peak hours through qualitative and quantitative analysis. Then, based on the user equilibrium theory, a dynamic traffic flow assignment model, in which the effect of POI on links is reflected using the link-node impedance function, is proposed. Finally, the accuracy of the model is validated by the GPS trajectory data and origin–destination (OD) traffic data of motor vehicles in Xuhui District, Shanghai, China. The results show that the model can be used to coordinate and optimize the traffic assignment of the regional road network under the influence of POI during peak hours and alleviate the congestion of the road network. The findings can provide a powerful reference for developing scientific and rational traffic assignment decisions and management strategies for urban road network traffic.


2021 ◽  
Author(s):  
Paulinus O. Ugwoke ◽  
Francis S. Bakpo ◽  
Collins N. Udanor ◽  
Matthew C. Okoronkwo
Keyword(s):  

2021 ◽  
Author(s):  
Matthew Plaudis ◽  
Muhammad Azam ◽  
Derek Jacoby ◽  
Marc-Antoine Drouin ◽  
Yvonne Coady

2021 ◽  
Vol 26 (4) ◽  
pp. 403-416
Author(s):  
Ji Li ◽  
Xin Pei ◽  
Xuejiao Wang ◽  
Danya Yao ◽  
Yi Zhang ◽  
...  

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Long Wei ◽  
Gang Chen ◽  
Wenjie Sun ◽  
Guoqi Li

As an emerging data source, feature identification based on GPS trajectory data has become a hot issue in the field of data mining and freight management. A method of trajectory data extraction, classification, and visualization based on stay points was proposed in this paper to analyze the operation characteristics of heavy trucks from the perspectives of intracity transportation, intraprovincial transportation, and interprovincial transportation. The GPS trajectory data of heavy trucks in Sichuan Province in March 2019 were taken as an example to analyze the operation characteristics. The results show that the heavy trucks in Sichuan Province are mainly transported within the province, and the freight efficiency is slightly better than the average level of the national freight trucks in the same period, failing to give full play to the advantages of long transport distance. The manufacturing industry is the main service object of heavy trucks, and the vehicles engaged in transportation within the province are more dependent on logistics enterprises and their ancillary facilities. The north-south longitudinal line and east-west horizontal line are the main interprovincial transport channels, and the provincial and municipal transport is mainly concentrated in some urban trunk lines, ring lines, and express routes. The proposed technical method can describe the operating characteristics of freight trucks from the perspective of microscopic and service market, not only to guide the layout of highway freight yards, logistics parks, and logistics hubs and the determination of service functions but also to provide a reference basis for freight management-related departments and drivers to formulate transportation plans and establish freight information platforms to improve freight efficiency and safety.


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