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首页> 外文会议>2013 Seventh International Conference on Distributed Smart Cameras >Video based adaptive road traffic signaling
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Video based adaptive road traffic signaling

机译：基于视频的自适应道路交通信号

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The ability to exert real time, adaptive control, of the transportation process is the core of an intelligent traffic system. We propose a video based adaptive traffic signaling scheme for reducing waiting period of vehicles at road junctions without detecting or tracking vehicles. The traffic signal timing parameters at a given intersection are adjusted automatically as functions of the local traffic conditions. The video sequences recorded at junctions are used for generating Spatial Interest Points (SIP) and Spatio-Temporal Interest Points (STIP). The traffic congestion at the junction is estimated using SIP and STIP. The decision rules are based on a definitive analogy between road traffic and computer data traffic wherein road vehicles are compared with data packets on the network. The system is similar in approach to the technique of Weighted Round Robin (WRR) queuing, a scheduling discipline used in data communication networks. Local traffic information is used to adjust the phase split keeping the cycle time constant. Two methods have been proposed. The first method, Optimal Weight Calculator (OWC), minimizes traffic at an intersection by determining the optimal phase splits or weights. The second method, Fair Weight Calculator (FWC), calculates weights relative to the road with minimum traffic to bring more fairness. After applying the respective algorithms mathematically on varying traffic conditions, OWC was found to be more equitable in the allocation of green time which is suitable for highly weight-sensitive junctions. For traffic with road priorities, FWC was found to be a much faster and effective control strategy.
机译：对交通运输过程进行实时，自适应控制的能力是智能交通系统的核心。我们提出了一种基于视频的自适应交通信号传输方案，以减少在路口的车辆的等待时间，而无需检测或跟踪车辆。给定路口处的交通信号灯定时参数会根据当地交通状况自动调整。在路口记录的视频序列用于生成空间兴趣点（SIP）和时空兴趣点（STIP）。使用SIP和STIP估算路口的交通拥堵。决策规则基于道路交通和计算机数据交通之间的确定类比，其中将道路车辆与网络上的数据包进行比较。该系统在方法上类似于加权轮循（WRR）排队技术，该技术是数据通信网络中使用的调度规则。本地交通信息用于调整相分离，以保持周期时间恒定。已经提出了两种方法。第一种方法是最优权重计算器（OWC），它可以通过确定最佳相位分割或权重来最小化交叉路口的交通。第二种方法是“公平权重计算器”（FWC），它以最小的交通量来计算相对于道路的权重，以带来更大的公平性。在数学上将各种算法应用到变化的交通状况后，发现OWC在分配绿色时间方面更加公平，这适用于高度重量敏感的路口。对于具有优先道路的交通而言，发现FWC是一种更快，更有效的控制策略。

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