Vehicle Re-Identification and Travel Time Measurement in Real-Time on Freeways Using Existing Loop Detector Infrastructure
Vehicle Re-Identification and Travel Time Measurement in Real-Time on Freeways Using Existing Loop Detector Infrastructure
复制标题
使用现有环路检测器基础设施在高速公路上实时进行车辆重新识别和行驶时间测量
DOI：
10.3141/1643-22
复制
发表时间：
1998
影响因子：
1.7
通讯作者：
B. Coifman
中科院分区：
文献类型：
--
作者：
B. Coifman
本文提出了一种新的高速公路上两个连续检测站的车辆再识别算法，该算法将下游检测站的车辆测量值与上游检测站的车辆测量值进行匹配。该方法使用在双环速度陷阱中测量的有效车辆长度来说明，但它可转移到能够提取车辆特征的其他检测器（例如视频图像处理）。这种方法意义重大，因为没有人试图使用现有的探测器基础设施来匹配探测器站之间的车辆测量值。该算法应该通过行驶时间测量来改善高速公路监控，行驶时间测量就是匹配车辆在两个站点已知到达时间之间的差值。该算法对噪声有较强的容忍度；它不是为每辆车寻找“最佳匹配”，而是找到所有可能的匹配，然后从可能的匹配中寻找车辆序列。即使使用噪声环路检测器数据，序列检测也会消除大多数可能但不正确的匹配，而保留真正的匹配。这种新方法将被用于检验真实交通中旅行时间数据的应用和好处，而无需安装新的探测器的昂贵成本。通常情况下，必须完全部署旅行时间测量系统，才能对其效益进行量化。
A new vehicle re-identification algorithm for two consecutive detector stations on a freeway, whereby a vehicle measurement made at the downstream detector station is matched with the vehicle’s corresponding measurement at the upstream station, is presented in this paper. The method is illustrated using effective vehicle length measured at dual-loop speed traps, but it is transferable to other detectors capable of extracting a vehicle signature (such as video image processing). This approach is significant because no one has attempted to use the existing detector infrastructure to match vehicle measurements between detector stations. The algorithm should improve freeway surveillance via travel time measurement, which is simply the difference between the known arrival times at the two stations for a matched vehicle. The re-identification algorithm is tolerant to noise; instead of finding the ‘best match’ for each vehicle, it finds all possible matches and then looks for sequences of vehicles from the possible matches. Even with noisy loop detector data, the sequence detection eliminates most of the possible-but-incorrect matches while the true matches remain. The new methodology will be used to examine the applications and benefits of travel-time data on real-world traffic, without the expensive costs of installing new detectors. Ordinarily, a travel-time measurement system would have to be fully deployed before the benefits can be quantified.