The Analysis Of Pedestrian Location And Travel Mode Based On The Data From Mobile Communication Network

With the development and progress of the society and economy,the process of urbanization is deepening,people's dependence on and demand for transportation are deepening,and how to effectively solve the problem of urban traffic jams has drawn more and more attention.While promoting the construction of intelligent transportation information system,all countries are also seeking new ways to effectively manage the traffic in the city.Accurately obtaining information on pedestrian movement is one of the key tasks.In previous studies,the GPS mobile phone built-in GPS chip to conduct pedestrian positioning operations,positioning requests need to be initiated by the user initiative,and the positioning data acquisition requires the user's authorization consent.Since the number of user initiative to initiate a location request is less and unevenly distributed,the advantage of using this technology for positioning is difficult to reflect.Based on the method of mobile phone positioning to collect traffic data,most of them use the research method of "first person,later road matching".When the road sections are parallel sections and complex interchanges,the above research methods are prone to mismatch,resulting in positioning deviation.In view of the above problems,this paper mainly does the following work:Firstly,this paper innovatively uses the power measurement report information obtained from the air interface of 4G mobile communication network to carry out relevant positioning research.Secondly,a new road matching algorithm,Which is a joint road matching algorithm based on the combination of curve fitting and road topology.The feasibility of this algorithm is proved by the verification,and the problems such as large interference in parallel sections and difficulty in accurately identifying complicated crossings are solved at the same time.Finally,the pedestrian location information is used to extract the corresponding information from the business characteristics generated by the end-user in calling the application process and the business characteristics of the background running of various applications,and the information is analyzed,excavated and combined with the pedestrian's Historical travel trajectory,focusing on group behavior,conducted an appropriate pedestrian travel mode analysis.