CAJ | 학술논문

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.
현유적엄중충돌판별방법병불괄용우아국적궤비엄중충돌판별，이가사원적선택통과행위대교통사고능부발생기도료지관중요적작용，인차해연구고필료가사원적선택통과행위，제출료궤비엄중충돌적판별방법.연구수선통과좌표전환기술대실험시빈진행료예처리，지후대교차구내궤비충돌수거진행제취，응용개솔통계적방법，착중고필가사원적인소，제출림계충돌시간차(CTDTC)적개념표시가사원적선택통과행위.연구발현당충돌시간차(TDTC)적절대치소우0．66 s 시，가사원적선택통과행위회발생분기，역인발교통사고，인차장기학정위궤비엄중충돌적판정조건，병진행료험증실험.험증실험결과표명，이충돌시간차(TDTC)적절대치위0．66 s 작위궤비엄중충돌적판별역치시，관측적비엄중충돌적루계빈솔접근15％，엄중충돌적루계빈솔접근85％，해결과여루계빈솔법상부.해방법적우세재우제출료명학적엄중충돌판별역치，판별결과불수인적주관인소간우，인차경가준학객관.
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.