Research On Key Technology Of Real-Time Traffic Information System Based On3S

The traffic congestion have always been a big problem to harass cities’development and people’s life everywhere in the world. Especially in China, quick urbanization processing makes the problem worse. In order to tackle this problem, each country has spent a lot of money in urban traffic optimization, hence the RTTIS (Real-Time Traffic Information System) was born and developed. In recent thirty years, with the developments in the fields of information, communication,3S(GPS、GIS、RS) and electronic technology, the software and hardware of RTTIS have been greatly improved. Among these technologies,3S has provided the RTTIS with great support. However, the theory and technology of3S are keeping updating nowadays, so it is necessary to improve the application of3S in RTTIS accordingly. Research and innovations on RTTIS have conducted in four aspects as following.Firstly, based on theory and technology of3S, the efficiency of traffic system with RTTIS is studied on the basis of three kinds of abstract road networks which widely typify features of city roads, and comprehensive analyses of traffic system efficiency through traffic simulation based on mulit-agent on are made in different proportion of RTTIS. The study results indicate:in the parallel road networks, though at first, the performance of every vehicle and whole traffic system is enhanced when the proportion of vehicles with RTTIS is more than0%and less than30%, when the proportion is more than30%, the optimization effect of traffic performance declines, and when the proportion of RTTIS is more than90%, vehicles and the traffic system perform worst, which is less26%than the effect of the traffic system performance without RTTIS at all; in the grid and ring road networks, the more RTTIS is used, the better the performance of vehicles both with and without RTTIS, and the efficiencies of traffic performance of these two kinds of vehicles are nearly the same when the proportion of RTTIS is100%, that is to say, RTTIS benefits not only individuals but the whole traffic system as well.Secondly, traffic system equilibrium is also examined. Through simulation experiments, the measurements of whether the traffic system with as well as without RTTIS can converge on equilibrium are made in the thesis. The results show that both the traffic system with as well as without RTTIS are able to converge on equilibrium under the performance in three abstract road networks. The results also indicate that different proportion of RTTIS can make the system converge on different equilibrium, and some equilibrium can make the system optimized but some can not.Thirdly, aiming at the traffic system, the remote image data fusion based on the K order central moment is proposed through multi-source remote image data digging. A series of images constructed in this way are based on the difference between the average vector of multichannel and the feature vector of single band image. The images’quantity of information improve greatly as k value is low. With k increased, the reconstructing images’quantity of information decreased sharply and the difference between feature vectors and mean vectors is amplified.Fourthly, the new GIS Spatial-Temporal Data Model is put forward. This model reduces the data redundancy and can be calculated easily.Based on3S technology, the research tries to promote the application of RTTIS in traffic optimization. The effect of RTTIS in traffic system is figured out in detail and the RTTIS is optimized by study in thesis. The conclusions are important and valuable in the traffic field.