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首页> 外文期刊>Journal of Intelligent Transportation Systems >Accelerated Incident Detection and Verification: A Benefit to Cost Analysis of Traffic Cameras
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Accelerated Incident Detection and Verification: A Benefit to Cost Analysis of Traffic Cameras

机译:加速事件检测和验证:交通摄像机成本分析的好处

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摘要

Traffic incidents are a major contributor to congestion on US freeways, resulting in millions of dollars in property damage and significant deaths and injuries each year. Because a single incident can cause traffic delays, equally devastating secondary incidents can result. Thus, the faster an incident is detected, verified, and cleared, the less significant the impact. Traffic cameras and other technologies are widely used for this purpose. This work examined the effectiveness of traffic cameras at five metropolitan freeway sites in South Carolina using the traffic simulation software PARAMICS to simulate various incident scenarios and traffic camera operations through application programming interfaces. The authors used these interfaces to produce random spatial and temporal occurrence of incidents, including the incident start times, durations and locations. A benefit-cost analysis based on the simulation results suggested traffic cameras returned $12 for every dollar spent under the prevailing conditions at the study sites. A sensitivity study, varying different benefit- and cost-related parameters, such as deployment costs, number of incidents, and discount rate, revealed benefit-cost values that were always above one.
机译:交通事故是造成美国高速公路拥堵的主要原因,每年造成数百万美元的财产损失和重大伤亡。由于单个事件可能会导致流量延迟,因此可能导致同样严重的次要事件。因此,检测,验证和清除事件的速度越快,影响就越小。交通摄像机和其他技术广泛用于此目的。这项工作使用交通仿真软件PARAMICS通过应用程序编程接口来模拟各种事故场景和交通摄像头操作,从而检查了南卡罗来纳州五个大都会高速公路站点的交通摄像头的有效性。作者使用这些接口来生成事件的随机空间和时间发生,包括事件的开始时间,持续时间和位置。根据模拟结果进行的利益成本分析表明,在研究地点的当前条件下,交通摄像头每花费1美元,就会返还12美元。一项敏感性研究改变了与收益和成本相关的不同参数,例如部署成本,事件数量和折现率,发现收益成本值始终高于一个。

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