In-Vehicle Traffic Light based on Local Area Network

The safety of intelligent vehicles has always been the focus of the society. While pursuing driving pleasure, drivers pay more attention to whether intelligent vehicles can bring a safe and well-controlled road experience. Safety depends on drivers' driving habits, but a well-equipped transportation system and the auxiliary equipment in intelligent vehicles cannot be ignored. The interaction between traditional vehicles and signal lights mainly depends on the drivers' eyes, but the influence of front large truck, signal lamp malfunction and other external factors may cause some interference under the process of the information exchange. Human observation is real-time but in-vehicle traffic lights are ahead of the observation, making drivers decide to pass the intersection or slow down. We proposed an in-vehicle signal reveal system to assist drivers at intersections based on Local Area Network (LAN). Firstly, Android smart phones are used to simulate the process of vehicle (client) interaction with signal lights (terminal). When the vehicle arrives at the middle of two intersections, it will proactively transmit its position information to the traffic lights. The traffic lights will send the current traffic signal operating information to the vehicle through processing the vehicle position, and finally implement in-vehicle traffic lights. The advance warning of the signal lights in the car can effectively shorten the reaction time of drivers, for improving driving attention and avoiding fatigue driving. Meanwhile, the proposed promising complement with autonomous environment perception can significantly promote the development of assisted driving as well as automatic driving technologies. Even through V2V communication, traffic lights on the network can be formed at intersections where the display of traffic lights are blocked or damaged, for improving the safety of driving as well as reducing traffic disturbance.implement in-vehicle traffic lights. The advance warning of the signal lights in the car can effectively shorten the reaction time of drivers, for improving driving attention and avoiding fatigue driving. Meanwhile, the proposed promising complement with autonomous environment perception can significantly promote the development of assisted driving as well as automatic driving technologies. Even through V2V communication, traffic lights on the network can be formed at intersections where the display of traffic lights are blocked or damaged, for improving the safety of driving as well as reducing traffic disturbance.