Related Experiment Video
Updated: Nov 7, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Research on Multi-Dimensional Optimal Location Selection of Maintenance Station Based on Big Data of Vehicle
Shoujing Zhang1, Fujiao Tong1, Mengdan Li1
1Xi'an Key Laboratory of Modern Intelligent Textile Equipment, College of Mechanical and Electrical Engineering, Xi'an Polytechnic University, Xi'an 710048, China.
Abstract:
In order to rationally lay out the location of automobile maintenance service stations, a method of location selection of maintenance service stations based on vehicle trajectory big data is proposed. Taking the vehicle trajectory data as the demand points, the demand points are divided according to the region by using the idea of zoning, and the location of the second-level maintenance station is selected for each region. The second-level maintenance stations selected in the whole country are set as the demand points of the first-level maintenance stations. Considering the objectives of the two dimensions of cost and service level, the location model of the first-level maintenance stations under two-dimensional programming is established, and the improved particle swarm optimization algorithm and immune algorithm, respectively, are used to solve the problem. In this way, the first-level maintenance stations in each region are obtained. The example verification shows that the location selection results for the maintenance stations using the vehicle trajectory big data are reasonable and closer to the actual needs.
Related Concept Videos
Manipulation and Analysis
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device
Design Example: Alignment of a Road Line Using GIS
Root-Locus Method
This system can be represented by a block...
Residuals and Least-Squares Property
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
Determination of Multiple Dosing Parameters: Loading and Maintenance Doses

