| Civil and Traffic Engineering |
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| Leading pedestrian intervals modeling at signalized intersections |
| QU Zhao-wei, CAO Ning-bo, CHEN Yong-heng, BAI Qiao-wen, KANG Meng, CHEN Ming-tao |
1. College of Transportation, Ji Lin University, Chang Chun 130022, China;
2. Traffic Police Detachment, Jilin City Public Security Bureau of Jilin Province, Ji Lin 132000, China;
3. Hulan Design and Consulting Group, Nanning 530000, China |
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Abstract A leading pedestrian intervals (LPIs) computational model based on pedestrians arriving position distribution model was developed by traffic wave theory. Firstly, the pedestrians arriving position distribution model was established on the basis of the observed data of pedestrian arriving positions on multi-intersections, considering the influence of crosswalk geometry and pedestrian density. Upon examination, the fitting goodness of the model shape parameter and scale parameter were 0.76 and 0.71, respectively. Secondly, the maximum queue length of pedestrians was calculated by using the pedestrians arriving position distribution model, and then the discharge time model of pedestrians was built by traffic wave model. Finally, the LPIs computational model considering running time of turning vehicles was developed, validated and compared with the existing LPIs models. Results indicate that the proposed LPIs model is superior to the existing LPIs models and can determine more reasonable LPIs according to the crosswalk width, length and pedestrian density.
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Published: 01 March 2017
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Cite this article:
QU Zhao-wei, CAO Ning-bo, CHEN Yong-heng, BAI Qiao-wen, KANG Meng, CHEN Ming-tao. Leading pedestrian intervals modeling at signalized intersections. JOURNAL OF ZHEJIANG UNIVERSITY (ENGINEERING SCIENCE), 2017, 51(3): 538-544.
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信号交叉口的行人信号提前建模
在行人到达分布模型的基础上,利用交通波理论建立行人信号提前（LPIs）计算模型.通过统计多交叉口的行人到达位置,并考虑人行横道几何尺寸和行人密度的影响,建立行人到达分布模型.经检验,模型形状参数和尺度参数的拟合优度分别达到0.76和0.71.在行人到达分布模型的基础上,计算行人的最大排队长度,并利用交通波模型建立行人释放时间模型.建立考虑转弯车辆运行时间的LPIs计算模型,对模型进行验证并与现有模型进行对比.结果表明,与现有模型相比,所提出的模型能够根据人行横道长度、宽度和行人密度确定更合理的LPIs.
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