考虑驾驶负荷的高速公路作业区换道预测模型
|
摘要
为预防高速公路养护作业区车辆换道引起的交通事故,首先,开展不同车流密度的驾驶模拟对比试验,采集车辆换道位置距离过渡区末端长度、车辆换道距离和驾驶人心率数据;然后,基于试验数据,通过车辆运行轨迹和方向盘转角,定义车辆换道位置和换道距离,分析车流密度和驾驶员心率对车辆换道位置和换道距离的影响;最后,采用强迫进入变量法,构建基于车流密度和驾驶员心率的车辆换道预测模型。结果表明:车辆换道位置随车流密度的增大先增大后减小,随驾驶员心率的增大而增大;车辆换道距离随车流密度的增大先增大后减小,随驾驶员心率增大而减小。车辆换道预测模型能够预测驾驶人心率与高速公路养护作业区车辆换道的关系。
In order to prevent the traffic accidents caused by vehicle lane change in freeway maintenance area,firstly,the driving simulation tests with different traffic flow densities were carried out. The distance between vehicle lane change position and end of transition zone,lane change distance and driver's heart rate were collected. Then,based on the test data,vehicle lane-changing position and lane-changing distance were defined by vehicle trajectory and steering wheel angle. Effects of both the vehicle flow density and the driver's heart rate on lane-changing position and lane-changing distance were analyzed. Finally,a lane change prediction model based on vehicle flow density and driver heart rate was built by using forced entry variable regression. The results show that the location of vehicle lane change increases firstly and then decreases with the increase of vehicle flow density,and increases with the increase of driver's heart rate,that the distance of vehicle lane change increases firstly and then decreases with the increase of vehicle flow density,and decreases with the increase of drivers' heart rate,and that the model can predict the relationship between driver heart rate and lane change in freeway maintenance area.
In order to prevent the traffic accidents caused by vehicle lane change in freeway maintenance area,firstly,the driving simulation tests with different traffic flow densities were carried out. The distance between vehicle lane change position and end of transition zone,lane change distance and driver's heart rate were collected. Then,based on the test data,vehicle lane-changing position and lane-changing distance were defined by vehicle trajectory and steering wheel angle. Effects of both the vehicle flow density and the driver's heart rate on lane-changing position and lane-changing distance were analyzed. Finally,a lane change prediction model based on vehicle flow density and driver heart rate was built by using forced entry variable regression. The results show that the location of vehicle lane change increases firstly and then decreases with the increase of vehicle flow density,and increases with the increase of driver's heart rate,that the distance of vehicle lane change increases firstly and then decreases with the increase of vehicle flow density,and decreases with the increase of drivers' heart rate,and that the model can predict the relationship between driver heart rate and lane change in freeway maintenance area.
引文
[1] DANIEL S,ELEFTERIADOU L. Lane-changing behavior on urban streets:an"in-vehicle"field experiment-based study[J]. Computer-Aided Civil and Infrastructure Engineering,2012,27(7):525-542.
[2] DANIEL S,KONDYLI A. Modeling vehicle interactions during lane-changing behavior on arterial streets[J]. ComputerAided Civil and Infrastructure Engineering,2010,25(8):557-571.
[3] BERTHAUME A L,ROMOSER M R E,COLLUR A J,et al. Towards a social psychology-based microscopic model of driver behavior and decision-making:modifying Lewin's field theory[J]. Procedia Computer Science,2014,32:816-821.
[4] HARB R,RADWAN E,ABDEL-ATY M,et al. Two simplified intelligent transportation system-based lane management strategies for short-term work zones[J]. Journal of Intelligent Transportation Systems,2011,15(1):52-61.
[5]杨晓芳,周昱,付强.考虑驾驶心理的封闭式道路车辆出匝换道模型[J].公路交通科技,2015,32(7):112-119.YANG Xiaofang,ZHOU Yu,FU Qiang. A lane-changing and off-ramp model of vehicles on enclosed road considering driving psychology[J]. Journal of Highway and Transportation Research and Development,2015,32(7):112-119.
[6]林丽,徐晓丹.城市隧道出口公交车换道行为对交通流的影响[J].公路交通科技,2015,32(4):113-117,123.LIN Li,XU Xiaodan. Traffic flow affected by bus lane-changing behavior at urban tunnel exit[J]. Journal of Highway and Transportation Research and Development,2015,32(4):113-117,123.
[7] JTG H30—2015,公路养护安全作业规程[S].JTG H30-2015,Safety work rules for highway maintenance[S].
[8]漆巍巍,裴玉龙,温惠英.拥堵状态下驾驶人心率与不良换道的关系模型[J].长安大学学报:自然科学版,2015(增1):91-94.QI Weiwei,PEI Yulong,WEN Huiying. Model of relationship between driver's heart rate and risky lane changing in the congested state[J]. Journal of Chang'an University:Natural Science Edition,2015(S1):91-94.
[9]吴付威,付锐,王鑫,等.驾驶人弯道安全行车特性研究[J]中国安全科学学报,2018,28(4):19-23.WU Fuwei,FU Rui,WANG Xin,et al. Study on drivers safe driving characteristics on curve road.[J]. China Safety Science Journal,2018,28(4):19-23.
[10]潘晓东.人体信息技术在道路交通环境中与安全性评价中的应用[J].中国公路学报,2001,14(增刊):109-115.PAN Xiaodong. The application of body information technology on road and traffic environment and safety evaluation.[J].China Journal of Highway and Transport,2001,14(S1):109-115.
[2] DANIEL S,KONDYLI A. Modeling vehicle interactions during lane-changing behavior on arterial streets[J]. ComputerAided Civil and Infrastructure Engineering,2010,25(8):557-571.
[3] BERTHAUME A L,ROMOSER M R E,COLLUR A J,et al. Towards a social psychology-based microscopic model of driver behavior and decision-making:modifying Lewin's field theory[J]. Procedia Computer Science,2014,32:816-821.
[4] HARB R,RADWAN E,ABDEL-ATY M,et al. Two simplified intelligent transportation system-based lane management strategies for short-term work zones[J]. Journal of Intelligent Transportation Systems,2011,15(1):52-61.
[5]杨晓芳,周昱,付强.考虑驾驶心理的封闭式道路车辆出匝换道模型[J].公路交通科技,2015,32(7):112-119.YANG Xiaofang,ZHOU Yu,FU Qiang. A lane-changing and off-ramp model of vehicles on enclosed road considering driving psychology[J]. Journal of Highway and Transportation Research and Development,2015,32(7):112-119.
[6]林丽,徐晓丹.城市隧道出口公交车换道行为对交通流的影响[J].公路交通科技,2015,32(4):113-117,123.LIN Li,XU Xiaodan. Traffic flow affected by bus lane-changing behavior at urban tunnel exit[J]. Journal of Highway and Transportation Research and Development,2015,32(4):113-117,123.
[7] JTG H30—2015,公路养护安全作业规程[S].JTG H30-2015,Safety work rules for highway maintenance[S].
[8]漆巍巍,裴玉龙,温惠英.拥堵状态下驾驶人心率与不良换道的关系模型[J].长安大学学报:自然科学版,2015(增1):91-94.QI Weiwei,PEI Yulong,WEN Huiying. Model of relationship between driver's heart rate and risky lane changing in the congested state[J]. Journal of Chang'an University:Natural Science Edition,2015(S1):91-94.
[9]吴付威,付锐,王鑫,等.驾驶人弯道安全行车特性研究[J]中国安全科学学报,2018,28(4):19-23.WU Fuwei,FU Rui,WANG Xin,et al. Study on drivers safe driving characteristics on curve road.[J]. China Safety Science Journal,2018,28(4):19-23.
[10]潘晓东.人体信息技术在道路交通环境中与安全性评价中的应用[J].中国公路学报,2001,14(增刊):109-115.PAN Xiaodong. The application of body information technology on road and traffic environment and safety evaluation.[J].China Journal of Highway and Transport,2001,14(S1):109-115.