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山区州际公路大型卡车的多尺度交通安全与运行性能研究。

Multi-scale traffic safety and operational performance study of large trucks on mountainous interstate highway.

机构信息

Dept. of Civil & Environmental Eng., Colorado State University, Fort Collins, CO 80523, United States.

出版信息

Accid Anal Prev. 2011 Jan;43(1):429-38. doi: 10.1016/j.aap.2010.09.013. Epub 2010 Oct 25.

DOI:10.1016/j.aap.2010.09.013
PMID:21094341
Abstract

In addition to multi-vehicle accidents, large trucks are also prone to single-vehicle accidents on the mountainous interstate highways due to the complex terrain and fast-changing weather. By integrating both historical data analysis and simulations, a multi-scale approach is developed to evaluate the traffic safety and operational performance of large trucks on mountainous interstate highways in both scales of individual vehicle as well as traffic on the whole highway. A typical mountainous highway in Colorado is studied for demonstration purposes. Firstly, the ten-year historical accident records are analyzed to identify the accident-vulnerable-locations (AVLs) and site-specific critical adverse driving conditions. Secondly, simulation-based single-vehicle assessment is performed for different driving conditions at those AVLs along the whole corridor. Finally, the cellular-automaton (CA)-based simulation is carried out to evaluate the multi-vehicle traffic safety as well as the operational performance of the traffic by considering the actual speed limits, including the differential speed limits (DSL) at some locations. It is found that the multi-scale approach can provide insightful and comprehensive observations of the highway performance, which is especially important for mountainous highways.

摘要

除了多车事故外,由于地形复杂、天气变化快,大型卡车在山区州际公路上也容易发生单车事故。通过整合历史数据分析和模拟,开发了一种多尺度方法,以评估山区州际公路上大型卡车在个体车辆和整个公路交通两个尺度上的交通安全和运行性能。以科罗拉多州的一条典型山区公路为例进行演示。首先,分析了十年的历史事故记录,以确定易发生事故的位置 (AVLs) 和特定地点的关键不利驾驶条件。其次,针对整个走廊内这些 AVLs 处的不同驾驶条件进行了基于模拟的单车评估。最后,通过基于元胞自动机 (CA) 的模拟,考虑实际限速,包括某些位置的差异限速 (DSL),评估多车交通安全和交通运行性能。结果表明,多尺度方法可以提供对公路性能的有见地和全面的观察,这对于山区公路尤为重要。

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