Analysis of the single-regime speed-density fundamental relationships for varying spatiotemporal resolution using Zen Traffic Data
Analysis of the single-regime speed-density fundamental relationships for varying spatiotemporal resolution using Zen Traffic Data
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使用 Zen 流量数据分析不同时空分辨率的单区域速度-密度基本关系
DOI：
10.1016/j.eastsj.2022.100066
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发表时间：
2022
影响因子：
--
通讯作者：
Nakanishi Wataru
中科院分区：
文献类型：
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作者：
Dahiya Garima;Asakura Yasuo;Nakanishi Wataru
该研究利用高分辨率ZEN交通数据(ZTD)分析了城市快速路的单工况速度-密度(v-k)关系，该数据包含了利用图像传感技术获得的所有车辆的轨迹数据。提取不同时空分辨率的稳态交通数据，然后利用经验数据估计交通流参数，即拥堵密度、运动波速和行为参数比例因子。功能参数和形状参数使用Lvenberg-MarQuardt算法进行估计。统计指标被用来评估所有类别的线性、指数和对数以及复杂形式的v-k关系在不同分辨率下的性能和模型适合性。理论分析表明，某些关系满足交通行为的所有静态性质，且只有一种关系同时满足交通行为的动态性质。高度参数化的表格具有最低的错误。然而，May和Keller提出的线性形式的模型具有很高的应用潜力。
This study analyzed the single-regime speed-density (v-k) relationships for urban expressways using high resolution Zen Traffic Data (ZTD) containing all vehicles’ trajectory data obtained using image sensing technology. The steady-state traffic data were extracted for varying spatiotemporal resolutions, followed by estimation of traffic flow parameters, namely, jam density, kinematic-wave-speed, and proportionality factor, a behavioral parameter, using empirical data. Functional and shape parameters were estimated using the Levenberg–Marquardt algorithm. Statistical metrics were used to assess the performance and model fitness in all categories of linear, exponential and logarithmic, and complex forms ofv-krelationships for different resolutions. The theoretical analysis revealed that certain relationships satisfy all the static properties and that only one satisfies both the dynamic properties of traffic behavior. Highly parameterized forms had the lowest errors. However, the linear form of model developed by May and Keller has high application potential.