Crossing traffic signal control optimization method in complex weather conditions

Abstract

The invention provides a crossing traffic signal control optimization method in complex weather conditions. The method includes following steps: traffic flow detectors are arranged at a road crossing so that the traffic flow data of various lanes of the road crossing is detected in a dynamic manner and obtained; a weather state detector is arranged at the road crossing so that the weather condition of the road crossing is detected in a dynamic manner and obtained; dynamic optimization of traffic signals is realized via a traffic signal controller according to the detected weather state and the traffic flow data, and when the optimal signal timing aiming to the on-site complex weather condition and the traffic flow is obtained, signal lamps at each entrance of the road crossing are turned on in an alternate manner, and the optimal distribution control of time of the crossing traffic flow is realized. According to the method, based on the comprehensive detection and measurement of different weather conditions such as snow, rain, and fog etc. of the crossing and the traffic flow, dynamic optimal control of the traffic signals of the crossing are realized, traffic jam is reduced, and the traffic safety is guaranteed.

Description

technical field [0001] The patent of the present invention relates to the optimization technology applied to road traffic signal timing, which is suitable for signal optimization control of intersection traffic under complex weather conditions. Background technique [0002] Studies have shown that under complex weather conditions (snow, rain, fog, etc.), the traffic at signal-controlled intersections is often more congested than that of sunny and cloudy days, and traffic accidents will also increase, which reflects that the current pre-supposed intersection traffic flow condition is generally used There is an obvious incompatibility in the traffic signal timing calculated and implemented, which leads to a significant decline in traffic control efficiency. The intersection traffic signal optimization technology under complex weather conditions can make the intersection traffic signal timing dynamically adaptive to complex weather conditions, thereby increasing the traffic flo...

AI Technical Summary

Problems solved by technology

Under complex weather conditions, due to poor visibility at the intersection or snow and rain, the speed of motor vehicles passing through the intersection will decrease and the distance between the front and rear vehicles will increase. Finally, the headway will increase and the saturated traffic flow at the intersection will decrease. The pre-supposed saturation flow is still used for signal timing (the road traffic conditions in the United States and the United Kingdom are good, and the saturation flow at intersections is generally selected as a constant between 1800-2100 vehicles / hour / lane; the road traffic conditions in China are relatively low. Poor, the intersection saturation flow is generally selected between 1400-1600 vehicles / hour / lane), which will lead to insufficient or wasted green light release time, and the traffic control efficiency will drop significantly

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