The use of web services for analysing and visualising maps has received great attention recently, because the complicated analysis of spatial data requires different processes to be run consecutively. Predicting the future location of a vehicle on a street network is one of the most challenging analyses used for improving context‐aware location‐based services, intelligent transportation systems and criminology. In this research, the authors present a new short‐term prediction algorithm and explore the required analyses and web services. They present an appropriate method for chaining these web services to predict location(s). To assess their methodology, they developed a prototype system and tested for trajectories in Beijing. This system calculates the prediction time for a specified car to show the predicted future location in the street network. Their results showed that the average transferred data volume increases as the prediction period increases. The results also showed that the prediction algorithm has 75% accuracy at 1 min and 87.5% accuracy at 2 and 3 min. The implemented chaining method reduces the complexity of the location prediction algorithm for users because they do not need to know the processes. The outputs from this system can be used as input parameters for other web‐based applications.
Predicting the future location of cars on urban street network by chaining spatial web services
IET Intelligent Transport Systems ; 12 , 8 ; 793-800
2018-10-01
8 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
chaining method , data analysis , map visualization , time 1 min , cartography , context‐aware location‐based services , transportation systems , urban street network , short‐term prediction algorithm , time 3 min , data visualisation , spatial data analysis , future cars location prediction , Beijing , automobiles , spatial Web services , traffic engineering computing , criminology , time 2 min , intelligent transportation systems , location based services , Web services
Predicting the future location of cars on urban street network by chaining spatial web services
IET | 2018
|Engineering Index Backfile | 1929
Engineering Index Backfile | 1935
|Engineering Index Backfile | 1923
Engineering Index Backfile | 1931
|