The primary causes of collisions and deadly collisions are infractions of traffic laws. This essay will look into six major traffic rule infractions and identify vulnerable populations who are more prone to break traffic laws. Data on crashes in North Carolina from 2010 to 2013 were taken into account for the analysis. Drivers under the age of 18 are 3.2 times more likely than drivers between the ages of 26 and 40 to violate speed limits and be involved in accidents. Drivers above the age of 70 had a 4.3 times higher likelihood of failing to surrender the right of way. Adult drivers (19 to 25 years old) have a significant likelihood of being in crashes and driving while intoxicated. Road signs and traffic lights are frequently disregarded by older drivers. When it came to speeding, driving aggressively or recklessly, or while intoxicated, younger drivers prevailed over older ones. To lower the frequency of accidents and increase safety, education and awareness campaigns could be tailored to each group depending on the likelihood that they would commit a traffic infraction. This work’s primary goal is to employ Arm7 and Zigbee for security applications to monitor traffic lights and operate the car. With the help of this technology, authors can pay attention to traffic signs and obey them while driving. The components of this system are an ARM7 microcontroller, a GSM module, a Zigbee, a GPS, a relay, and a DC motor. As soon as the ARM7 processor receives the dataset from MATLAB, it uploads it, and the Zigbee RX alerts it, causing the GSM modem to send the message to the registered mobile number and the GPS attached to the microcontroller to provide the LAT and LON. When it enters, it first checks the traffic signal, and if it is there, it turns off the DC motor connected to the relay and can monitor it.