Abstract
In all geo-database related to traffic, beside storing roads data, the information associated to traffic signals such as location, types of traffic signals, side street name, and so on are also stored in that database. In reality, the reason of defining traffic signals for road is the situations and conditions which the roads have. So the existence of traffic signals in the network is related to the parameters of the road. In this paper, instead of storing traffic signal data in the database, a novel method is introduced which implemented on the road network. As a result, the spatial and non-spatial information of traffic signals in the network are extracted based on the location and attribute of the road network. The proposed method is implemented on the network; the result of the intelligent method is compared with the traffic signals information which stored in the database. By comparing the locations and states of proposed traffic signals and the real ones, the overall accuracy for recognizing locations of traffic signal is obtained 94% and the overall accuracy for recognizing states of traffic signal is obtained 89%.
Highlights
One of the most important problems which municipality is faced is traffic
The full potential and benefit of historical traffic databases could be expanded by an integration of traffic system data in Geospatial Information Systems (GIS)
In the geo-database, all spatial and non-spatial information of traffic signals are extracted from roads data while there is no need for defining and adding separate data for traffic signals into the database
Summary
One of the most important problems which municipality is faced is traffic. Traffic information consists of spatial and non-spatial ones. In the papers proposed by Mao et al (2008) (predicting traffic volum), Annunziato et al (2003) (Predicing Traffic Flow) the traffic parameterd are controlled by using computational inteligence Most of these researches are done to use intelligent transportation system to control traffic in the environment. It might rarely be found research for using ITS for storing traffic data in the database. To store traffic data in the geo database, an intelligent method is introduced, which recognizes the traffic signal data from road data. An intelligent method is proposed based on the essence of existent of the traffic signal in the network. The result is investigated and compared with the real traffic signal stored in the database
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