考虑驾驶员选择通过行为的机非严重冲突判别 |
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引用本文: | 王耀东,陈雨人. 考虑驾驶员选择通过行为的机非严重冲突判别[J]. 交通信息与安全, 2015, 0(4): 61-68. DOI: 10.3963/j.issn1674-4861.2015.04.010 |
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作者姓名: | 王耀东 陈雨人 |
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作者单位: | 同济大学交通运输工程学院 上海 201804 |
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摘 要: | 现有的严重冲突判别方法并不适用于我国的机非严重冲突判别,而驾驶员的选择通过行为对交通事故能否发生起到了至关重要的作用,因此该研究考虑了驾驶员的选择通过行为,提出了机非严重冲突的判别方法.研究首先通过坐标转换技术对实验视频进行了预处理,之后对交叉口内机非冲突数据进行提取,应用概率统计的方法,着重考虑驾驶员的因素,提出临界冲突时间差(CTDTC)的概念表示驾驶员的选择通过行为.研究发现当冲突时间差(TDTC)的绝对值小于0.66 s 时,驾驶员的选择通过行为会发生分歧,易引发交通事故,因此将其确定为机非严重冲突的判定条件,并进行了验证实验.验证实验结果表明,以冲突时间差(TDTC)的绝对值为0.66 s 作为机非严重冲突的判别阈值时,观测的非严重冲突的累计频率接近15%,严重冲突的累计频率接近85%,该结果与累计频率法相符.该方法的优势在于提出了明确的严重冲突判别阈值,判别结果不受人的主观因素干扰,因此更加准确客观.
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关 键 词: | 交通安全 机非严重冲突 选择通过行为 冲突时间差 视频处理 |
A Method of Identifying Serious Conflicts of Motor and Non-motor Vehicles during Passing Maneuvers |
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Abstract: | Since the existing traffic conflict techniques are not applicable to identify serious conflicts between vehi-cles and non-motor vehicles in China.And drivers'passing behaviors through the intersections are proven to play a signifi-cant role in the occurrence of traffic collisions.The study proposed a method of identifying serious conflicts between vehi-cles and non-motor vehicles in consideration of drivers'passing behaviors.The traffic scene videos were pre-processed by applying coordinate transformation technique,then the conflict data of vehicles and non-motor vehicles at the intersections was extracted.Critical time difference to collision (CTDTC)was proposed to depict drivers'passing behaviors.The results show that the difference of drivers'passing behaviors increases,which tend to trigger collisions,when the absolute value of TDTC is less than 0.66 s.The test results also indicate that the cumulative frequency of non-serious conflicts is about 1 5% and 85% for serious conflicts,which are confirmed by a cumulative frequency method,when 0.66 s of TDTC is de-fined as an identification threshold.The proposed method defines a specific threshold of identifying serious conflicts be-tween vehicles and non-motor vehicles and provides more accurate and objective results. |
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