Analysis on Propagation of Spatio-Temporal Dynamic Effects Towards Freeway Traffic Crash

doi:10.12141/j.issn.1000-565X.220353

Abstract

Abstract:

This paper aims to explore and quantify the spatio-temporal propagation mechanism of freeway traffic crashes and address the defect of traditional traffic wave theory considering single dimension in such problems. Firstly, the speed changing before and after the traffic crash was analyzed based on the dynamic traffic flow data collected by microwave radar detectors. Furthermore, the speed changing rate was introduced as a measure of the impact of a crash, the bilinear interpolation method was adopted to construct the speed changing rate curve, and the Savitzky-Golay filtering fitting method was applied to fit the outer contour of the spatio-temporal region affected by the crash. Finally, the indicators of spatio-temporal impacts of traffic crash were figured out and analyzed under the condition that the speed changing rate threshold is 20%, 30% and 40%, respectively. The indicators include the beginning time of the crash effect, the end time of the crash effect, the duration of the crash effect, the closest distance of the crash effect, the furthest distance of the crash effect, the spatial range of the crash effect, the propagation speed of the crash effect and the dissipation speed of crash effect. The results indicate that the smaller the threshold of speed changing rate is, the earlier the crash influence starts, the later the crash influence ends, the longer the duration and the longer the distance of the crash influence has; the higher the speed changing rate threshold is, the later the crash influence starts, the earlier the crash influence ends, the shorter the duration and the shorter the distance of the crash influence have; additionally, under various speed changing rate threshold, the changing trend of propagation speed generated by the traffic crash varies with time. The approach adopted in this paper has strong operability and high identification of results, which can provide theoretical support for real-time traffic control and guidance after freeway crashes.

Key words: freeway, traffic crash, spatio-temporal influence propagation, bilinear interpolation method, Savitzky-Golay filter

CLC Number:

U491.31

YANG Yang, HU Yanran, YUAN Zhenzhou, et al. Analysis on Propagation of Spatio-Temporal Dynamic Effects Towards Freeway Traffic Crash[J]. Journal of South China University of Technology(Natural Science Edition), 2023, 51(1): 123-133.

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检测时间	检测器编号	车道编号	方向	流量/辆	速度/（km?h^-1）	占有率/%
2013-04-11 19：29	523050003	1	2	22	59	16
2013-04-11 19：29	523050003	2	2	35	66	24
2013-04-11 19：29	523050003	3	2	30	70	23
2013-04-11 19：29	523050003	4	1	19	72	10
2013-04-11 19：29	523050003	5	1	27	70	19
2013-04-11 19：29	523050003	6	1	17	58	15
2013-04-11 19：30	523050003	1	2	18	62	14
2013-04-11 19：30	523050003	2	2	14	71	9

序号	有效性检验	判别方法
1	交通流三参数的取值范围	速度小于0 km/h
2	交通流三参数的取值范围	流量小于0辆
3	交通流三参数的取值范围	占有率小于0%或者占有率大于100%
4	交通流三参数之间的基本关系	速度等于0 km/h且流量等于0辆，但占有率大于0%
5	交通流三参数之间的基本关系	速度大于0 km/h，但流量等于0辆

检测器序号	检测器编号	里程数/km	距离事故点的里程数/km
1	523050015	19.000	0.300
2	523050014	17.984	1.316
3	523050013	16.800	2.500
4	523050012	15.600	3.700

量化指标	不同阈值下的取值
量化指标	20%	30%	40%
事故影响开始时间	18：05：10	18：07：30	18：08：50
事故影响结束时间	21：34：00	21：28：10	21：23：30
事故影响持续时间/min	208.83	200.67	194.67
事故影响最近距离/m	300	300	300
事故影响最远距离/m	2 432	2 279	2 126
事故影响空间范围/m	2 132	1 979	1 826

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