Research On Intelligent Parking System Based On Pervasive Computing

With the rapid development of the automobile industry and chinese economy,there is constantly increasing in city’s auto possession,automobile bring people many convenience such as travel more convenient, faster traffic and so on,but at the same time the poor parking and safety problem also have brought people so much inconvenience. Parking management is a common problem in each city, and the traditional parking system has been faced with many challenges.Therefore, convenient and efficient intelligent parking system is necessary for large comprehensive buildings and residential area.As a new computing paradigm, the pervasive computing mixed the physical space and information space together, bringing people personalized service at anywhere and anytime. It is for this feature that the new computing paradigm will be trend of the development of computer technology in the future, and have a very good application prospects.The wireless sensor network is a very important technology to realize the pervasive environment, getting all kinds of information by setting intelligent sensor in the environment, and making the user feel the computing is everywhere.This paper researchs the intelligent parking system under the pervasive environment,and the paper’s specific research work are as follows:1.In this paper,the pervasive computing,context aware computing, wireless sensor network and Zigbee technology are analysed and discussed.Then, the paper analyses the basic composition, function and design principles of intelligent parking system, and applys the Zigbee technology to intelligent parking system.2.The paper researchs optimal path algorithm in parking guidance system, analysing the traditional shortest path algorithm and its deficiency, introducing the principle of ant colony algorithm, and improving the updating rules for pheromone.Under the pervasive environment, the improved algorithm applys the real-time traffic information to ant colony algorithm’s updating rules for pheromon, making the optimal path more accurate.At last the improved algorithm is simulated on the Zigbee platform.3.As for the vehicle’s localization under the parking lot,a similarity recommended vehicle’s localization algorithm based on RSSI amended is presented.The vehicle’s real-time RSSI location information is obtained under the Zigbee network environment,then collect and analyse it, the analysis results show that RSSI data is random and easy to be vulnerable to various interference, so the RSSI data is amended as residual to reduce the influence of localization.As to the localization algorithm,the paper analyses the localization model,locating the test area through the RSSI data,and using similarity measure to calculate the similarity between the known sample points and test area,then recommending the big similarity sample points,and see the regional center of mass which the sample points round into as the vehicle’s position.At last The algorithm is validated on the Zigbee platform.4.Finally, the paper analyses the structure of intelligent parking system,introducing the hardware and software platform which develop the system,and the intelligent parking system is designed and implemented by Visual C++under the Zigbee network environment.