交通大数据车速区间位置查询系统设计与实现
|
摘要
为了利用交通大数据为道路建设提供重要依据,本研究基于Web的Browser/Server结构模式,采用ASP.NET技术,借助百度地图Java ScriptAPI,应用C#、Java Script和T-SQL等编程语言设计并实现了交通车速区间位置查询系统。首先通过对交通大数据进行整理得到GPS数据,然后通过该系统的车速区间位置查询页面对十进制经纬度坐标精确到小数点后的位数和查询条件(经纬度范围、车速区间和车辆数量下限)进行设置,可查询到车辆集中停放、堵车、车流量大和车辆超速的具体位置。通过实验与分析,基于交通大数据的车速区间位置查询系统可以为道路建设规划与改造降低事故发生率提供重要的依据。
In order to provide an important basis for road construction by using traffic data,this paper designs and implements a traffic speed interval location query system based on Browser/Server structure mode of Web,using ASP.NET technology and Baidu Map JavaScript API,using C#,JavaScript and T-SQL programming languages. Firstly,the GPS data is obtained by sorting out the traffic data. Then,the decimal coordinates of longitude and latitude are precisely set to the digits after decimal point and the query conditions(longitude and latitude range,speed interval and lower limit of vehicle number)are set through the speed interval location query page of the system,which can query the specific locations of concentrated parking,traffic jam,large traffic volume and vehicle overspeed. Through experiments and analysis, the speed interval location query system based on traffic data can provide an important basis for road construction planning and reconstruction to reduce the accident rate.
In order to provide an important basis for road construction by using traffic data,this paper designs and implements a traffic speed interval location query system based on Browser/Server structure mode of Web,using ASP.NET technology and Baidu Map JavaScript API,using C#,JavaScript and T-SQL programming languages. Firstly,the GPS data is obtained by sorting out the traffic data. Then,the decimal coordinates of longitude and latitude are precisely set to the digits after decimal point and the query conditions(longitude and latitude range,speed interval and lower limit of vehicle number)are set through the speed interval location query page of the system,which can query the specific locations of concentrated parking,traffic jam,large traffic volume and vehicle overspeed. Through experiments and analysis, the speed interval location query system based on traffic data can provide an important basis for road construction planning and reconstruction to reduce the accident rate.
引文
[1]丁俊发.改革开放40年中国物流业发展与展望[J].中国流通经济,2018,32(4):3-17.
[2]刘民权.全球化中的中国中小企业:交通基础设施的作用[J].金融研究,2018(4):121-137.
[3]赵福全,刘斐齐,刘宗巍,等.中国汽车产业低碳化评价指标体系研究[J].中国工程科学,2018,20(1):104-112.
[4]乔英俊,纪雪洪.发展共享汽车推动汽车强国建设[J].中国工程科学,2018,20(1):120-126.
[5]张天然.大数据背景下的交通模型发展思考[J].城市交通,2016,14(2):22-28.
[6]Leung H,Faouzi N E E,Kurian A.Intelligent transportation system(ITS)[J].Information Fusion,2011,12(1):2-3.
[7]Cui Z,Zhang S,Henrickson K C,et al.New progress of drivenet:an e-science transportation platform for data sharing,visualization,modeling,and analysis[C]//Smart Cities Conference.IEEE,2016.
[8][美]特罗尔森.C#NET3.5高级程序设计(第4版)[M].北京:人民邮电出版社,2009:580-682.
[9][美]麦克唐纳,兹普兹塔.ASP.NET3.5高级程序设计(第2版)[M].北京:人民邮电出版社,2008:528-571.
[10][美]尼尔森.Server2008宝典[M].北京:清华大学出版社,2011:459-515.
[2]刘民权.全球化中的中国中小企业:交通基础设施的作用[J].金融研究,2018(4):121-137.
[3]赵福全,刘斐齐,刘宗巍,等.中国汽车产业低碳化评价指标体系研究[J].中国工程科学,2018,20(1):104-112.
[4]乔英俊,纪雪洪.发展共享汽车推动汽车强国建设[J].中国工程科学,2018,20(1):120-126.
[5]张天然.大数据背景下的交通模型发展思考[J].城市交通,2016,14(2):22-28.
[6]Leung H,Faouzi N E E,Kurian A.Intelligent transportation system(ITS)[J].Information Fusion,2011,12(1):2-3.
[7]Cui Z,Zhang S,Henrickson K C,et al.New progress of drivenet:an e-science transportation platform for data sharing,visualization,modeling,and analysis[C]//Smart Cities Conference.IEEE,2016.
[8][美]特罗尔森.C#NET3.5高级程序设计(第4版)[M].北京:人民邮电出版社,2009:580-682.
[9][美]麦克唐纳,兹普兹塔.ASP.NET3.5高级程序设计(第2版)[M].北京:人民邮电出版社,2008:528-571.
[10][美]尼尔森.Server2008宝典[M].北京:清华大学出版社,2011:459-515.