A new method of road network updating based on floating car data

2011 ◽  
Author(s):  
Yue Zhao ◽  
Jian Liu ◽  
Runqiang Chen ◽  
Jun Li ◽  
Chao Xie ◽  
...  
Keyword(s):  
Road Network ◽  
New Method ◽  
Floating Car Data

Pedestrian network information extraction based on VGI

GEOMATICA ◽  
2018 ◽  
Vol 72 (3) ◽  
pp. 85-99 ◽  
Author(s):  
Xuejing Xie ◽  
Guojian Ou
Keyword(s):  
Information Extraction ◽  
Road Network ◽  
New Method ◽  
Location Based Service ◽  
Network Information ◽  
The Road ◽  
Pedestrian Network ◽  
Gps Trajectories ◽  
Data Extracting

Pedestrian network information plays an important role in pedestrian location based service (LBS), and its completeness determines the quality of a pedestrian LBS. This study used volunteered data and BaiduMap to research how to extract pedestrian network information on the basis of pedestrian GPS trajectories. The method extracts human road information by three steps: cleaning track data, extracting the road network, and detecting and analysing the recognised pedestrian road facilities. Once the road network information is extracted, the information regarding road facilities can be obtained, e.g., pedestrian crossings, overpasses, and underground passages. This paper describes a new method for incrementally updating electronic maps.

Road Network Change Detection Based on Floating Car Data

2012 ◽  
Vol 7 (7) ◽  
Author(s):  
Luliang Tang ◽  
Fangzhen Huang ◽  
Xueyan Zhang ◽  
Hong Xu
Keyword(s):  
Change Detection ◽  
Road Network ◽  
Floating Car Data ◽  
Network Change

Study on Average Travel Speed in Road Network Calculated by Floating Car Data in Different Samples

CICTP 2012 ◽  
2012 ◽  
Author(s):  
Feifei Xin ◽  
Longyu Wei ◽  
Hangfei Lin ◽  
Shuangquan Zhou
Keyword(s):  
Road Network ◽  
Travel Speed ◽  
Floating Car Data

scholarly journals GIS-BASED ROUTE FINDING USING ANT COLONY OPTIMIZATION AND URBAN TRAFFIC DATA FROM DIFFERENT SOURCES

2015 ◽  
Vol XL-1-W5 ◽  
pp. 129-133 ◽  
Author(s):  
M. Davoodi ◽  
M. S. Mesgari
Keyword(s):  
Ant Colony Optimization ◽  
Road Network ◽  
Urban Traffic ◽  
Ant Colony ◽  
Traffic Data ◽  
Multiple Sources ◽  
Urban Road ◽  
Floating Car Data ◽  
Route Finding ◽  
Different Sources

Nowadays traffic data is obtained from multiple sources including GPS, Video Vehicle Detectors (VVD), Automatic Number Plate Recognition (ANPR), Floating Car Data (FCD), VANETs, etc. All such data can be used for route finding. This paper proposes a model for finding the optimum route based on the integration of traffic data from different sources. Ant Colony Optimization is applied in this paper because the concept of this method (movement of ants in a network) is similar to urban road network and movements of cars. The results indicate that this model is capable of incorporating data from different sources, which may even be inconsistent.

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