The invention relates to a special-shaped signalized intersection traffic capacity model trimming coefficient algorithm for a non-motor vehicle red light running behavior, and the algorithm comprises the steps: collecting basic information of a special-shaped intersection, non-motor vehicle violation behavior data and motor vehicle data under the influence of the non-motor vehicle violation behavior for the special-shaped intersection; according to the collected non-motor vehicle violation behavior data, non-motor vehicle violation behavior spatio-temporal characteristics are analyzed, the spatio-temporal characteristics comprise time characteristics and spatial characteristics, that is, analysis is carried out from the two aspects of the time characteristics and the spatial characteristics, and analysis factors serve as possible influence factors on the motor vehicle flow. Carrying out preliminary screening on the possible influence factors to obtain key influence factors which influence the saturated traffic flow of the motor vehicle; on the basis of the motor vehicle data under the influence of non-motor vehicle violation behaviors, analyzing the key influence factors obtained by screening to obtain influence coefficients of different key influence factors on motor vehicle operation characteristics under the influence of non-motor vehicle violation behaviors; integrating different influence coefficients, determining correction coefficients of motor vehicle saturation time headway and acceleration loss time, and establishing a signal control special-shaped intersection traffic capacity correction model under the influence of non-motor vehicle violation behaviors; and finally verifying the established traffic capacity correction model. The method provides important reference for organization optimization and signal timing of the special-shaped signal intersection.
本发明涉及一种非机动车闯红灯行为的异型信号交叉口通行能力模型修整系数算法,针对异型交叉口,收集异型交叉口的基本信息、非机动车违章行为数据以及有无非机动车违章行为影响下机动车数据;根据收集的非机动车违章行为数据,分析非机动车违章行为时空特征,所述时空特征包括时间特征以及空间特征,即从时间特征以及空间特征两个角度进行分析,并将分析的因素作为对机动车车流的可能影响因素,对这些可能影响因素进行初步筛选,筛选得到对机动车饱和车流造成影响的关键影响因素;以有无非机动车违章行为影响下机动车数据为基础,对筛选得到的关键影响因素分别进行分析,得到不同关键影响因素对有无非机动车违章行为影响下机动车运行特征的影响系数;对不同的影响系数进行整合,确定机动车饱和车头时距和加速损失时间的修正系数,建立非机动车违章行为影响下的信号控制异型交叉口通行能力修正模型;最后对建立的通行能力修正模型进行验证。本发明为异型信号交叉口的组织优化和信号配时提供了重要的参考。
Special-shaped signalized intersection traffic capacity model trimming coefficient algorithm for non-motor vehicle red light running behavior
非机动车闯红灯行为的异型信号交叉口通行能力模型修整系数算法
2024-07-23
Patent
Electronic Resource
Chinese
IPC: | G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS |
Signalized Intersection Capacity Analysis Software
British Library Conference Proceedings | 1997
|NCHRP Signalized Intersection Capacity Method
TIBKAT | 1982
|METHOD FOR TRAFFIC LIGHT AND VEHICLE TRACK CONTROL AT SIGNALIZED INTERSECTION
European Patent Office | 2021
|Red light running-preventing system for single-double road signalized intersection
European Patent Office | 2015
|Behaviour of traffic leaving signalized intersection
Engineering Index Backfile | 1964
|