Abstract This evaluation ascertained the operational impacts of the SUTRAC (Scalable Urban Traffic Control) Adaptive Signal Control Technology (ASCT) in an urban corridor consisting of 23 intersections in Pittsburgh, Pennsylvania. A combination of real-world GPS floating car runs and private sector probe data from INRIX was used to assess the impact of the ASCT. Data were collected with the ASCT active and inactive to determine the operational impacts on the mainline and cross streets. The ASCT was found to produce significant improvements in the number of stops made along the corridor. On Baum and Center, travel times improved during the AM and PM peak in the WB direction. Speeds were also observed to improve significantly during the Midday period on Baum EB and during the AM and PM peak periods on Baum WB. Similarly, statistically significant improvements in speed were observed on Center WB during the AM and PM periods, while a statistically significant decrease in speed was observed during the Midday period. Six months of private sector probe data was used to examine travel time reliability along the corridor, and reliability was also found to have improved. Further, Bayesian models were calibrated to account for variations in speeds and acceleration/deceleration. The Bayesian models revealed that driving was less volatile with the ASCT system in operation over instantaneous periods, which also points towards improved operations. The findings of this study are generally consistent with past evaluations of other ASCTs, indicating that the SURTRAC system is another potential tool for managing congestion on signalized urban arterial networks.

中文翻译：

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自适应交通控制系统的运行性能评估：使用真实世界 GPS 和私营部门 PROBE 数据的贝叶斯建模方法

摘要 该评估确定了 SUTRAC（可扩展城市交通控制）自适应信号控制技术 (ASCT) 在宾夕法尼亚州匹兹堡的 23 个十字路口组成的城市走廊中的运行影响。结合真实世界的 GPS 浮动汽车行驶和来自 INRIX 的私营部门探测数据来评估 ASCT 的影响。数据是在 ASCT 活跃和不活跃的情况下收集的，以确定对主干线和交叉街道的运营影响。发现 ASCT 显着改善了沿走廊停靠的次数。在 Baum 和 Center 上，WB 方向的 AM 和 PM 峰值期间的旅行时间有所改善。在 Baum EB 的中午时段以及 Baum WB 的 AM 和 PM 高峰时段也观察到速度显着提高。相似地，在上午和下午期间，在 Center WB 上观察到速度的统计显着改善，而在中午期间观察到速度在统计上显着下降。六个月的私营部门探测数据被用于检查沿走廊的旅行时间可靠性，并且发现可靠性也有所提高。此外，贝叶斯模型被校准以解释速度和加速/减速的变化。贝叶斯模型显示，ASCT 系统在瞬时运行时的驾驶波动性较小，这也表明操作得到改善。这项研究的结果与过去对其他 ASCT 的评估大体一致，表明 SURTRAC 系统是管理信号化城市动脉网络拥堵的另一个潜在工具。