The United States University to develop new technologies to predict easy to run a red light junctions
At the signalized crossroads, it is usually easier for drivers to cause danger at right angles. AFP The University of Minnesota, in collaboration with the University of Michigan, developed new algorithms that leverage data collected from developed systems to enable traffic engineers to identify red-light-prone traffic lights with low-cost and easy-to-use tools The crossroads. According to Traffic Technology Today, running red lights is one of the most common and dangerous causes of an impact at a signalized intersection, with about 45% of right-angle impacts causing injuries, compared to 25% for other types of impact. Therefore, reducing the frequency of right-angle impacts can significantly improve overall traffic safety and reduce impact-related costs. The researchers then set about studying whether it is possible to find a red-light crossroads in an automated fashion. The collaboration between Professor Henry Liu and the University of Michigan has spawned a SMART signaling system that collects data from traffic signal controllers. The Minnesota Department of Transportation (MnDOT) has installed the system at over 100 junctions in the Twin Cities area. Under its sponsorship program, researchers use SMART signal data to develop tools and evaluate safety outcomes at intersections, as well as to use SMART signal data to predict red light results and potential vehicle crossing conflicts. Researchers paired vehicle speed and traffic with traffic signal phase information from SMART signals to identify possible red light results. In order to confirm the accuracy of this method, researchers then re-developed equations that predict whether or not they actually occur, based on the actual red-light results compared to possible outcomes. The design methodology was then used to determine whether the red light result would result in a traffic accident and to include this new measurement in a standard model using average daily traffic. Finally, researchers continue to test the new model to improve the ability to predict the right-angle collision at the signalized intersection. If the traffic conflict can be accurately measured, then it is possible to determine whether a dangerous collision accident is possible or not. The practice also finds that the frequency of breaking a red light is more predictable at a right-angle impact than the traditional average daily traffic. Led Flashlights,Light Flashlight,Strong Led Flashlight,Aluminum Alloy Led Flashlights NINGBO KLEANSOURCE ELECTRONIC TECHNOLOGY CO., LTD , https://www.vehiclelightings.com