Research Of Real-time Status Of Urban Road

With the development of the Intelligence Transportation System, the real-time status of urban road collection is already taken much more seriously in ITS. The automatic detection method regarding the dynamic transportation is also more and more popular. For example, magnetic induction coils, video camera, microwave radar and etc. But these methods mentioned before are restricted by manpower, fund and other factors. Thus, traffic departments only have carried on the deployment in the essential road sections and the main street intersections which quantity is less than 1/ l0 of whole road. This causes the massive information"vacuum"regions on the urban road system. The huge challenge we face with is the problem of how can we get the real-time road status comprehensively and accurately.This research depends on the project of urban road transportation management system. It has emphasised on the real-time transportation data collection method of floating car data, and relys on the real-time vehicles localization data from taxi companies which proposed a set of the road network transportation condition estimation methods through the taxi real-time locating data. There are four aspects included in this method: carring on the localization of taxi real-time GPS data, analyzing the logical characteristic of taxi service, extracting the behavior characters of taxi drivers and analyzing the effective localization data to obtain the transportation informations of road section that the taxi pass through.According to this method,we can obtain the real-time transportation state of roads information effectively and have an advantage of a low investment cost and maintenance cost. This method has more practical value.First, this article has introduced the research situation of real-time transportation information collection, including the taxi electronic dispatch system as well as the corresponding technology. Analyzed the mothod of map coordinates transformation and the match method of vehicles localization data, then has analyzed the vehicles localization effective sampling with emphasis according to the drivers driving custom to get the tavel time of the road sections. It has filled the transportation blank region data.With the experiments of real data, explained this algorithm could obtain the road section reasonable travel time, int could describe the road network real-time condition. Finally this article introduced the overall system construction design and the realization process.