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Methods for vehicle detection and classification with recording of traffic data and environmental parameters as the basis for an intelligent traffic control system
Methods for vehicle detection and classification with recording of traffic data and environmental parameters as the basis for an intelligent traffic control system
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机译:以交通数据和环境参数记录为基础的智能交通控制系统的车辆检测和分类方法
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摘要
Sensor combination of radio and / or distance sensors for monitoring single or multi-lane lanes, in which several distance sensors alone or in combination with a radio field traffic data such as the speed, length and direction of passing vehicles detected in multiple lanes and separated by vehicle classes control of traffic and the traffic flow, which, in conjunction with additionally integrated environmental sensors, enables an intelligent traffic control based on traffic volume and pollutant load, which, in addition to congestion avoidance, also prevents the exceeding of pollutant limit values at particularly polluted priorities and helps to avoid local driving bans.
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