Traffic management system is a key parameterfor highly efficient transportation system rather than depending on the speed of the vehicles and how smart it works. Police may not have all the dynamic data, which changes in a fraction of seconds, such as traffic due to accidents. The idea is to propose a system that can identify a truck in a road network and make decisions on clearing the traffic signals by getting results from the individual junction in a network. The system uses Narrow Band Internet of Things (NB-IoT) which is faster and energy-saving, and it sends signals to the particular traffic system based on the previous or the next traffic node. The Artificial Intelligence (AI) model will be biased independently. The system sends a message using radio waves from unused bandwidth. The main aim of the system is to make the passengers spend less time on traffic signals and save time as well as energy of the transportation system. It works based on getting traffic density on an individual traffic signal and the system decides which message should be open and which to close.

交通管理系统是高效交通系统的关键参数，而不是取决于车辆的速度和它的智能程度。警方可能没有所有的动态数据，这些数据会在几分之一秒内发生变化，例如交通事故。这个想法是提出一个系统，该系统可以识别道路网络中的卡车，并通过从网络中的各个路口获取结果来决定清除交通信号灯。该系统采用更快、更节能的窄带物联网（NB-IoT），根据前一个或下一个交通节点向特定交通系统发送信号。人工智能 (AI) 模型将独立存在偏差。系统使用未使用带宽的无线电波发送消息。该系统的主要目的是使乘客在交通信号灯上花费的时间更少，节省交通系统的时间和能源。它的工作原理是获取单个交通信号的交通密度，系统决定应该打开哪些消息，关闭哪些消息。