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transportation mode Identification with GPS Trajectory Data and GIS Information

Tsinghua Science and Technology 2021年第4期26卷 403-416页

作者： Ji Li Xin Pei Xuejiao Wang Danya Yao Yi Zhang Yun Yue Department of Automation Tsinghua UniversityNational Laboratory for Information Science and Technology(TNList)Tsinghua UniversityBeijing 100084China National Engineering Laboratory for Public Safety Risk Perception and Control by Big Data(NEL-PSRPC) Beijing 100041China

Global Positioning System(GPS) trajectory data can be used to infer transportation modes at certain times and locations. Such data have important applications in many transportation research fields, for instance,to detect the movement mode of travelers, calculate traffic flow in an area, and predict the traffic flow at a certain time in the future. In this paper, we propose a novel method to infer transportation modes from GPS trajectory data and Geographic Information System(GIS) information. This method is based on feature extraction and machine learning classification algorithms. While using GIS information to improve inference accuracy, we ensure that the algorithm is simple and easy to use on mobile devices. Applied to GeoLife GPS trajectory dataset, our method achieves 91.1% accuracy while inferring transportation modes, such as walking, bike, bus, car, and subway, with random forest classification algorithm. GIS features in our method improved the overall accuracy by 2.5% while raising the recall of the bus and subway transportation mode categories by 3.4% and 18.5%. We believe that many algorithms used in detecting the transportation modes from GPS trajectory data that do not utilize GIS information can improve their inference accuracy by using our GIS features, with a slight increase in the consumption of data storage and computing resources.

关键词： transportation mode Global Positioning System(GPS) Geographic Information System(GIS) random forest

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Integrated Development Management Strategies of transportation and Land Use Based on Low-carbon Concept

Integrated Development Management Strategies of Transportati...

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2013年教育技术与管理科学国际会议

作者： Yawei Zhang Jun Li Haiyan Lu Changming Qi School of Urban Design Wuhan University Hubei Institute of Urban Planning and Design

Carbon emission in urban area mainly comes from urban transportation and land use development. Urban transportation development strategies, land use strategies, and corresponding synergic and integrated development are discussed in this paper, which are expected to contribute to the construction of low-carbon city. Firstly, urban transportation development strategies are proposed including construction of low carbon comprehensive transportation system, promotion of low carbon transportation mode, and distribution system of road space resource. Secondly, according to three different functional types of land use including residential land use, industrial land use, and public facility, corresponding low carbon land use strategies are proposed. Thirdly, the integrated development management strategies for urban transportation and land use under the low-carbon concept are proposed.

关键词： low carbon transportation mode land use integrated strategies

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