车联网环境下信号交叉口车速控制策略
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摘要
为了减轻城市道路上信号交叉口对交通流的阻断,针对车联网环境下个体车辆可以与路侧设施及交叉口中心控制系统实时信息交互的特征,提出了信号交叉口车速控制策略,在提高交叉口通行效率的基础上兼顾驾驶舒适性与环境友好性.为验证车速控制模型的有效性,基于多智能体技术建立了车联网环境下信号交叉口车速控制仿真系统,以典型十字交叉口为例,模拟对比分析了传统驾驶和车联网2种环境下车辆通过交叉口的行程时间、燃料消耗与污染物排放.结果表明,该速度控制策略下车辆通过交叉口的平均行程时间减少了约60%,燃料消耗减少了约40%,污染物的排放也有显著减少.
In order to reduce the blocking of traffic flow of the signalized intersection on the urban road, for individual vehicles can interact the information with the roadside facilities and the intersection control system under the connected vehicle environment, a speed control strategy in the signalized intersection is proposed. This strategy considers driving comfort and environmental friendliness with the improvement of traffic efficiency. To verify the efficiency of the speed control model, the speed control simulation system embodying the characteristics of the connected vehicle environment in the signalized intersection is developed using the multi-agent technology,and a typical intersection is selected as an example, in which the travel time, fuel consumption and pollutant emissions under the traditional environment are compared with that of the connected vehicle environment when vehicles pass the intersection. The results show that when vehicles go through intersections, the average travel time is reduced by about 60% by the aid of the speed control strategy, with the fuel consumption reducing by about 40%. In addition, pollutant emissions are also reduced significantly.
In order to reduce the blocking of traffic flow of the signalized intersection on the urban road, for individual vehicles can interact the information with the roadside facilities and the intersection control system under the connected vehicle environment, a speed control strategy in the signalized intersection is proposed. This strategy considers driving comfort and environmental friendliness with the improvement of traffic efficiency. To verify the efficiency of the speed control model, the speed control simulation system embodying the characteristics of the connected vehicle environment in the signalized intersection is developed using the multi-agent technology,and a typical intersection is selected as an example, in which the travel time, fuel consumption and pollutant emissions under the traditional environment are compared with that of the connected vehicle environment when vehicles pass the intersection. The results show that when vehicles go through intersections, the average travel time is reduced by about 60% by the aid of the speed control strategy, with the fuel consumption reducing by about 40%. In addition, pollutant emissions are also reduced significantly.
引文
[1]安实,姚焓东,姜慧夫,等.信号交叉口绿色驾驶车速控制方法[J].交通运输系统工程与信息,2015,15(5):53-59.[AN S,YAO H D,JIANG H F,et al.A green driving speed control method at signal intersection[J].Journal of Transportation Systems Engineering and Information Technology,2015,15(5):53-59.]
[2]林培群,卓福庆,姚凯斌,等.车联网环境下交叉口交通流微观控制模型及其求解与仿真[J].中国公路学报,2015,28(8):82-90.[LIN P Q,ZHUO F Q,YAO KB,et al.Solving and simulation of microcosmic control model of intersection traffic flow in connected-vehicle network environment[J].China Journal of Highway and Transport,2015,28(8):82-90.]
[3]李鹏凯,吴伟,杜荣华,等.车路协同环境下多车协同车速引导建模与仿真[J].交通信息与安全,2013,31(2):134-139,148.[LI P K,WU W,DU R H,et al.Modeling and simulation of multi-vehicles cooperative speed guidance under connected vehicles[J].Journal of Transport Information and Safety,2013,31(2):134-139,148.]
[4]李鹏凯,杨晓光,吴伟,等.车路协同环境下信号交叉口车速引导建模与仿真[J].交通信息与安全,2012,30(3):136-140,156.[LI P K,YANG X G,WU W,et al.Modeling vehicle speed guidance at signal intersection under Intelli Driver SM[J].Journal of Transport Information and Safety,2012,30(3):136-140,156.]
[5]FORTELLE A D L.Proceedings of the 13th international IEEE annual conference on intelligent transportation systems[C].New York:IEEE,2010.
[6]KAMAL M A S,IEEE M,TAGUCHI S,et al.Efficient driving on multilane roads under a connected vehicle environment[J].IEEE Transactions on Intelligent Transportation Systems,2016,17(9):2541-2551.
[7]KAMAL M A S,TAGUCHI S,YOSHIMURA T.Proceedings of the 18th international IEEE annual conference on intelligent transportation systems[C].Spain:IEEE,2015.
[8]CHEN S Y,SUN J,YAO J.Proceedings of the 14th international IEEE annual conference on intelligent transportation systems[C].Washington DC:IEEE,2011.
[9]YANG H,RAKHA H,IEEE M,et al.Eco-cooperative adaptive cruise control at signalized intersections considering queue effects[J].IEEE Transactions on Intelligent Transportation Systems,2017,18(6):1575-1585.
[10]刘志强,王运霞,黄成.双车道公路线形连续性及舒适性评价研究[J].公路工程,2008,33(5):45-47,55[LIU Z Q,WANG Y X,HUANG C.Analysis and evaluation of two-lane highway alignment consistency and comfortableness[J].Highway Engineering,2008,33(5):45-47,55.]
[11]RAKHA H,AHN K,TRANI A.Development of VT-Micro model for estimating hot stabilized light duty vehicle and truck emissions[J].Transportation Research Part D,2004,9(1):49-74.
[2]林培群,卓福庆,姚凯斌,等.车联网环境下交叉口交通流微观控制模型及其求解与仿真[J].中国公路学报,2015,28(8):82-90.[LIN P Q,ZHUO F Q,YAO KB,et al.Solving and simulation of microcosmic control model of intersection traffic flow in connected-vehicle network environment[J].China Journal of Highway and Transport,2015,28(8):82-90.]
[3]李鹏凯,吴伟,杜荣华,等.车路协同环境下多车协同车速引导建模与仿真[J].交通信息与安全,2013,31(2):134-139,148.[LI P K,WU W,DU R H,et al.Modeling and simulation of multi-vehicles cooperative speed guidance under connected vehicles[J].Journal of Transport Information and Safety,2013,31(2):134-139,148.]
[4]李鹏凯,杨晓光,吴伟,等.车路协同环境下信号交叉口车速引导建模与仿真[J].交通信息与安全,2012,30(3):136-140,156.[LI P K,YANG X G,WU W,et al.Modeling vehicle speed guidance at signal intersection under Intelli Driver SM[J].Journal of Transport Information and Safety,2012,30(3):136-140,156.]
[5]FORTELLE A D L.Proceedings of the 13th international IEEE annual conference on intelligent transportation systems[C].New York:IEEE,2010.
[6]KAMAL M A S,IEEE M,TAGUCHI S,et al.Efficient driving on multilane roads under a connected vehicle environment[J].IEEE Transactions on Intelligent Transportation Systems,2016,17(9):2541-2551.
[7]KAMAL M A S,TAGUCHI S,YOSHIMURA T.Proceedings of the 18th international IEEE annual conference on intelligent transportation systems[C].Spain:IEEE,2015.
[8]CHEN S Y,SUN J,YAO J.Proceedings of the 14th international IEEE annual conference on intelligent transportation systems[C].Washington DC:IEEE,2011.
[9]YANG H,RAKHA H,IEEE M,et al.Eco-cooperative adaptive cruise control at signalized intersections considering queue effects[J].IEEE Transactions on Intelligent Transportation Systems,2017,18(6):1575-1585.
[10]刘志强,王运霞,黄成.双车道公路线形连续性及舒适性评价研究[J].公路工程,2008,33(5):45-47,55[LIU Z Q,WANG Y X,HUANG C.Analysis and evaluation of two-lane highway alignment consistency and comfortableness[J].Highway Engineering,2008,33(5):45-47,55.]
[11]RAKHA H,AHN K,TRANI A.Development of VT-Micro model for estimating hot stabilized light duty vehicle and truck emissions[J].Transportation Research Part D,2004,9(1):49-74.