Now-a-days, traffic congestion is one of the troubles in metro cities. It is mainly due to escalate in vehicle, population etc. Due to the raise in vehicle, the road is incapable of handling the traffic. Consequently it is very important to revamp the traffic management system. The advanced traffic management system intention is to ameliorate the safety and efficiency of the transportation system. Advanced traffic management system permit opportunities for new methods of evaluations and continuing assessment is provided. A few scenarios were analysed in the traffic issues and better performance is acquired in this research. The traffic map in New York City is taken as a database model and to discover the shortest path an advanced Dijkstra’s algorithm is applied. The advanced form of Hadoop known as Apache spark is used. Spark is the open standard and it is easy to program as it has tons of high level operators which can be flexible in-memory data processing that enables batch, real-time, and advanced analytics on the Apache Hadoop platform. R-tool is an open source programming language and software environment for statistical computing is also employed. By using time forecasting algorithm, for each scenarios the vehicle speed, count, collusion, time, etc. is calculated and the Map Analysis is done with good performance by using R-tool. The overall performance of the system that enhances the traffic control efficiency is 96.23%

如今，交通拥堵是大城市的麻烦之一。这主要是由于车辆，人口等方面的升级。由于车辆的增加，道路无法通行。因此，改造交通管理系统非常重要。先进的交通管理系统的目的是改善运输系统的安全性和效率。先进的交通管理系统为新的评估方法提供了机会，并提供了持续评估的机会。在交通问题中分析了一些场景，并且在这项研究中获得了更好的性能。以纽约市的交通地图为数据库模型，并使用最先进的Dijkstra算法查找最短路径。使用称为Apache Spark的Hadoop的高级形式。Spark是一种开放标准，并且易于编程，因为它具有大量高级操作员，可以灵活地进行内存中数据处理，从而可以在Apache Hadoop平台上进行批处理，实时和高级分析。R-tool是一种开源编程语言，并且还使用了用于统计计算的软件环境。通过使用时间预测算法，可以针对每种情况计算车速，计数，共谋，时间等，并使用R工具以良好的性能进行地图分析。提升流量控制效率的系统整体性能为96.23％R-tool是一种开放源代码编程语言，并且还使用了用于统计计算的软件环境。通过使用时间预测算法，可以针对每种情况计算车速，计数，共谋，时间等，并使用R工具以良好的性能进行地图分析。提升流量控制效率的系统整体性能为96.23％R-tool是一种开源编程语言，并且还使用了用于统计计算的软件环境。通过使用时间预测算法，可以针对每种情况计算车速，计数，共谋，时间等，并使用R工具以良好的性能进行地图分析。提升流量控制效率的系统整体性能为96.23％