基于模糊逻辑的高速公路微观换道行为
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摘要
为深入研究高速公路微观换道行为的决策过程,提高高速公路换道模型的真实性和有效性,将任意换道行为分为向左侧换道行为和向右侧换道行为,引入驾驶员性格影响因子和车辆类型参数,基于模糊逻辑推理构建任意性换道行为模型;同时,为增强换道行为的动态效果,构建高速公路自由状态下车速控制模型和跟车行为模型.仿真结果显示该任意性换道模型具有较好的真实性和有效性,表明向左侧换道行为模型和向右侧换道行为模型能准确反映高速公路微观换道行为的决策过程.
To deeply investigate the decision making for microscopic lane-changing behaviors on freeway,and to improve the authenticity and effectiveness of corresponding lane-changing models,discretionary lane-changing behaviors were divided into leftward and rightward lane-changing behaviors in this research; with the factors that impact drivers' characteristics and vehicle type parameters introduced into the research,a discretionary lane-changing model was established based on fuzzy logic. Meanwhile,vehicle speed control models under the free state and vehicle following models were built to enhance dynamic effects of lane-changing behaviors. The simulation results suggest that the discretionary lanechanging model is highly authentic and valid. According to the research,both the leftward and rightward lane-changing models can accurately reflect the decision making for microscopic lane-changing behaviors on freeway.
To deeply investigate the decision making for microscopic lane-changing behaviors on freeway,and to improve the authenticity and effectiveness of corresponding lane-changing models,discretionary lane-changing behaviors were divided into leftward and rightward lane-changing behaviors in this research; with the factors that impact drivers' characteristics and vehicle type parameters introduced into the research,a discretionary lane-changing model was established based on fuzzy logic. Meanwhile,vehicle speed control models under the free state and vehicle following models were built to enhance dynamic effects of lane-changing behaviors. The simulation results suggest that the discretionary lanechanging model is highly authentic and valid. According to the research,both the leftward and rightward lane-changing models can accurately reflect the decision making for microscopic lane-changing behaviors on freeway.
引文
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[2]JIA B,JIANG R,WU W S.A realistic two-lane cellular automaton model for traffic flow[J].International Journal of Modern Physics C,2004,15(3):381-392.
[3]JIA B,JIANG R,WU Q S,et al.Honk effect in the twolane cellular automaton model for traffic flow[J].Physica A,2005,348:544-552.
[4]PONTIUS G R,MALANSON J.Comparison of the structure and accuracy of two land change models[J].International Journal of Geographical Information Science,2005,19(2):243-265.
[5]LI H X,SHAO C F,WU H L,et al.A new cellular automaton model with spatiotemporal process of lane changing execution[C]∥Proceeding of the 11th International Conference on Cellular Automata for Research and Industry.Berlin:Springer International Publishing,2014,8751:605-609.
[6]MENG Q,WENG J.Cellular automata model for work zone traffic[J].Transportation Research Record Journal of the Transportation Research Board,2010,2188:131-139.
[7]SINGH K,LI B.Estimation of traffic densities for multilane roadways using a Markov model approach[J].IEEE Transactions on Industrial Electronics,2012,59(11):4369-4376.
[8]LI X G,JIA B,JIANG R.The effect of lane-changing time on the dynamics of traffic flow[J].ICST Institute for Computer Sciences,Social Informatics and Telecommunications Engineering,2009,4:589-598.
[9]SHI J Q,CHENG L,LONG J C,et al.A new cellular automaton model for urban two-way road networks[J].Computational Intelligence and Neuroscience,2014,2014:685047.
[10]李娟,曲大义,刘聪,等.基于元胞自动机的车辆换道行为研究[J].公路交通科技,2016,33(11):140-145.LI J,QU D Y,LIU C,et al.Study on vehicle lanechanging behavior based on cellular automaton[J].Journal of High-way and Transportation Research and Development,2016,33(11):140-145.(in Chinese)
[11]HUNT J G,LYONS G D.Modelling dual carriageway lane changing using neural networks[J].Transportation Research Part C,1994,2(4):231-245.
[12]邱小平,马丽娜.基于模糊推理的车辆换道分析研究[J].重庆交通大学学报(自然科学版),2016,35(4):121-126.QIU X P,MA L N.Vehicle lane changing analysis based on fuzzy reasoning[J].Journal of Chongqing Jiaotong University(Natural Science),2016,35(4):121-126.(in Chinese)
[13]HIDAS P.Modelling lane changing and merging in microscopic traffic simulation[J].Transportation Research Part C,2002,10(5):351-371.
[14]NARANJO J E,GONZALEZ C,GARCIA R,et al.Lanechange fuzzy control in autonomous vehicles for the overtaking maneuver[J].IEEE Transactions on Intelligent Transportation Systems,2008,9(3):438-450.
[15]COELHO G C,ABREU C G,RAMOS R M,et al.MASE-BDI:agent-based simulator for environmental land change with efficient and parallel auto-tuning[J].Applied Intelligence,2016,45(3):904-922.
[16]WU J P,MARK B S,MIKE M D.Fuzzy sets and systems for a motorway microscopic simulation model[J].Fuzzy Sets and Systems,2000,116(1):65-76.
[17]MAR J,LIN F J.An NFIS controller for the car-following collision prevention system[J].IEEE Transactions on Vehicular Technology,2001,50(4):1106-1113.