首页> 外文期刊>International journal of engineering research and industrial applications >PREDICTING CRASH SEVERITY RISK FACTORS IN WORK ZONES OF HYDERABAD METRO RAIL PROJECT
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PREDICTING CRASH SEVERITY RISK FACTORS IN WORK ZONES OF HYDERABAD METRO RAIL PROJECT

机译:预测海得拉巴城轨项目工作区的崩溃严重程度风险因素

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Work zones are given priority by most government agencies nationwide because of the need for construction, maintenance, rehabilitation, and advancement of the existing road networks and Metro Rail Construction works. The goal of this research is to analyze the contributing factors causing severe traffic crashes and to identify the measures which could minimize the work zone related crashes in order to improve work zone and traffic safety. Research is undertaken to study various types of crashes and its causative factors in Hyderabad Metro Rail Work Area, the reported crash data of project is obtained from the period of 2012 to 2014. Majority of the crashes, being a multi factor event and to identify & predict the risk factors in work zone crashes; relationship is developed between the crash variables. This research seeks to identify the contributing factors affecting crash severity by using statistical analytical technique of frequency analysis, cross tabulation, box plot and stem & leaf analysis. The analysis explores how the interaction of these factors affects accident severity risk. The crash factors as independent variable vehicle type, driver's age, collision type, location, incident cause, month and time of incident are analyzed. The SPSS version 20 & EXCEL software are used for the data analysis. The data analysis and research findings indicate that driver characteristics and crash characteristic are significantly associated with crash severity. The significant variables, type of vehicle involved, age of the driver, cause of incident, incident time, location of incident, month of incident and type of accident are among the factors that have major impact on crash severity. Restricting the speed limits and enforcing it for large vehicle, implementation of traffic controls such as implementing more warning signs ahead of the advanced warning area along with consideration of installing of self-illuminating solar blinkers, retro reflective and directional arrow blinkers during night hours in traffic work zones and awareness creation among road usersare the countermeasure based on this research. The research findings could be used for decision making to reduce work-zone crash severity. This research can be further extended by considering other road geometrical parameters, traffic factors, congestion, GIS and cell phones contribution on crashes to assess the combined effect of all parameters.
机译:全国大多数政府机构都将工作区作为优先考虑的对象,因为需要对现有道路网络和地铁建设工程进行建设,维护,修复和改善。这项研究的目的是分析导致严重交通事故的成因,并找出可以减少与工作区相关的交通事故的措施,以改善工作区和交通安全。进行了研究以研究海得拉巴地铁铁路工作区的各种类型的撞车事故及其成因,该项目的报告撞车数据是从2012年到2014年期间获得的。预测工作区崩溃的风险因素;碰撞变量之间建立了关系。本研究旨在通过使用频率分析,交叉制表,箱形图和茎叶分析的统计分析技术来确定影响碰撞严重性的因素。该分析探讨了这些因素的相互作用如何影响事故严重性风险。分析了作为独立变量车辆类型,驾驶员的年龄,碰撞类型,位置,事故原因,事故发生的月份和时间的碰撞因素。 SPSS 20版和EXCEL软件用于数据分析。数据分析和研究发现表明,驾驶员特征和碰撞特征与碰撞严重程度显着相关。重要变量,涉及的车辆类型,驾驶员的年龄,事故原因,事故时间,事故地点,事故月份和事故类型是对撞车严重性产生重大影响的因素。限制速度限制并适用于大型车辆,实施交通控制,例如在高级警告区域前设置更多警告标志,并考虑在夜间行车时安装自发光太阳能转向灯,复古反光和方向箭头灯基于这项研究的工作区和道路使用者之间的意识创造是对策。研究结果可用于降低工作区碰撞严重性的决策。可以通过考虑其他道路几何参数,交通因素,交通拥堵,GIS和手机对交通事故的影响来评估所有参数的综合影响,从而进一步扩大研究范围。

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