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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

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

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.
机译:无线电和/或距离传感器的传感器组合,用于监视单车道或多车道车道,其中多个距离传感器单独或与无线电现场交通数据结合,例如在多车道中检测到并分开的经过车辆的速度,长度和方向通过车辆类别的交通和交通流量控制,结合额外集成的环境传感器,可以基于交通量和污染物负荷进行智能交通控制,除了避免拥堵外,还可以防止超出污染物限值处于特别受污染的优先事项,并有助于避免当地的驾驶禁令。

著录项

  • 公开/公告号DE102018109990A1

    专利类型

  • 公开/公告日2019-10-31

    原文格式PDF

  • 申请/专利权人 KAI-CHRISTIAN OKULLA;

    申请/专利号DE201810109990

  • 发明设计人 KAI-CHRISTIAN OKULLA;ADRIAN KOSAK;

    申请日2018-04-25

  • 分类号G08G1/017;G08G1/015;G08G1/052;G08G1/056;

  • 国家 DE

  • 入库时间 2022-08-21 11:44:45

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