Intelligent Movement Method for Trajectory Map Matching

Zhang, Bo; Zhuo, Kuncheng; Lan, Yifan; Chen, Da‐Yuan

doi:10.1109/ispa-bdcloud-socialcom-sustaincom52081.2021.00229

Cited by 1 publication

(1 citation statement)

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“…In this study, considering the integrity of the urban road network, a method of trajectory generation and road network extraction based on map API is proposed, which can obtain the geometric information of the regional road network and make it possible to construct or update the road map in real time. In [15], for instance, relevant road information (such as geometric features, speed, latitude and longitude, direction angle, etc.) is extracted and updated from the trajectory data in the vicinity of the road segment; in [16], the K-means algorithm is used to cluster the trajectory points, and the spline curve is introduced to fit the road turning area; and in [17], the straight line and arc in the mathematical model are used to describe the GPS trajectory.…”

Section: Introductionmentioning

confidence: 99%

Research on Urban Road Network Extraction Based on Web Map API Hierarchical Rasterization and Improved Thinning Algorithm

Wen

Zhang

2022

Sustainability

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Most existing research on the vector road network is based on GPS trajectory travel information extraction, and urban GPS trajectory data are large and difficult to obtain. Based on this, this study proposes a road network extraction method based on network map API and designs a vector road network based on an improved image-processing algorithm using trajectory data. Firstly, a large number of trajectory data are processed by hierarchical rasterization. The trajectory points of the regional OD matrix are obtained by using the map API interface to generate the trajectory. Then, the image expansion processing is performed on the road network raster image to complete the information loss problem. The improved Zhang–Suen refinement algorithm is used to refine the idea to obtain the road center line, and the vector road network in the study area is obtained. Finally, taking the Harbin City of Heilongjiang Province as an example, compared with the road network of the network map, it has been demonstrated that using this technology may improve the traveler experience and the sustainability of urban traffic flow while reducing the number of manual procedures required, performing online incremental rapid change detection, and updating the present road network at a cheaper cost.

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Section: Introductionmentioning

confidence: 99%