Impact of lane changing on adjacent vehicles considering multi-vehicle interaction in mixed traffic flow: A velocity estimating model

Abstract To quantitatively analyse the influence of lane changing vehicles on the speed of adjacent vehicles during the lane changing process, this paper designed a fleet lane changing experiment based on P3-DT Beidou high-precision positioning and direction finding receiver. The concept of cellular vehicle neighbourhood is proposed to quantitatively describe the influence of vehicle spacing on vehicle speed. A study into the speed changing model of adjacent vehicles during lane changing is performed. A simulation program is developed, and simulation results are compared with the measured data. The goodness of fit of the velocity change extent of adjacent vehicles in the target lane is over 80%, which validates the velocity estimating model. This model can provide a theoretical basis for research and development in the interactive simulation of multiple vehicles and automatic driving technology in mixed traffic flow.

[1]  Dai Gui-ping Research on Lane-changing Models Considering Restricted Space , 2012 .

[2]  Kenneth Tze Kin Teo,et al.  A stochastic traffic cellular automata with controlled randomness , 2017, 2017 IEEE 2nd International Conference on Automatic Control and Intelligent Systems (I2CACIS).

[3]  Hani S. Mahmassani,et al.  Modeling Lane-Changing Behavior in a Connected Environment: A Game Theory Approach , 2015 .

[4]  Xuedong Yan,et al.  Multi-lane Changing Model with Coupling Driving Intention and Inclination , 2017 .

[5]  Alexandra Kondyli,et al.  Modeling Vehicle Interactions during Lane‐Changing Behavior on Arterial Streets , 2010, Comput. Aided Civ. Infrastructure Eng..

[6]  P. G. Gipps,et al.  A MODEL FOR THE STRUCTURE OF LANE-CHANGING DECISIONS , 1986 .

[7]  A. Szosland,et al.  Precise method of vehicle velocity determination basing on measurements of car body deformation–non-linear method for ‘Full Size’ vehicle class , 2018 .

[8]  Hyunjin Park,et al.  Development of a lane change risk index using vehicle trajectory data. , 2018, Accident; analysis and prevention.

[9]  Zuduo Zheng,et al.  Recent developments and research needs in modeling lane changing , 2014 .

[10]  Hao Liu,et al.  A New Lane-Changing Model with Consideration of Driving Style , 2019, Int. J. Intell. Transp. Syst. Res..

[11]  Fang Liu,et al.  Lane-changes prediction based on adaptive fuzzy neural network , 2018, Expert Syst. Appl..

[12]  Jing Shi,et al.  A cellular automata traffic flow model combined with a BP neural network based microscopic lane changing decision model , 2019, J. Intell. Transp. Syst..

[13]  M. Kuwahara,et al.  TACTICAL LANE CHANGE MODEL WITH SEQUENTIAL MANEUVER PLANNING , 2008 .

[14]  Martin Treiber,et al.  Traffic Flow Dynamics , 2013 .

[15]  Peder Thusgaard Ruhoff,et al.  Entry ramps in the Nagel-Schreckenberg model. , 2002, Physical review. E, Statistical, nonlinear, and soft matter physics.

[16]  Fang Liu,et al.  A hierarchical prediction model for lane-changes based on combination of fuzzy C-means and adaptive neural network , 2019, Expert Syst. Appl..

[17]  Huan Wang,et al.  A multi-intersection model and signal timing plan algorithm for urban traffic signal control , 2014 .

[18]  Dirk Helbing,et al.  General Lane-Changing Model MOBIL for Car-Following Models , 2007 .

[19]  Ruey Long Cheu,et al.  A binary decision model for discretionary lane changing move based on fuzzy inference system , 2016 .

[20]  Dinesh Mohan,et al.  Modelling vehicular interactions for heterogeneous traffic flow using cellular automata with position preference , 2017 .

[21]  Lane Change Intent Analysis Using Robust Operators and Sparse Bayesian Learning , 2007, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[22]  Elias B. Kosmatopoulos,et al.  Strategies and spacing requirements for lane changing and merging in automated highway systems , 2001, IEEE Trans. Veh. Technol..

[23]  Atsushi Yamashita,et al.  Lane-Change Detection Based on Vehicle-Trajectory Prediction , 2017, IEEE Robotics and Automation Letters.

[24]  Wei Yuan,et al.  Multi-parameter prediction of drivers' lane-changing behaviour with neural network model. , 2015, Applied ergonomics.

[25]  K. Ahmed Modeling drivers' acceleration and lane changing behavior , 1999 .

[26]  Reza Langari,et al.  A human-like game theory-based controller for automatic lane changing , 2018 .

[27]  Michael Schreckenberg,et al.  A cellular automaton model for freeway traffic , 1992 .

[28]  Ya Ma,et al.  Active lane-changing model of vehicle in B-type weaving region based on potential energy field theory , 2019 .

[29]  Henry X. Liu,et al.  A Game Theoretical Approach for Modelling Merging and Yielding Behavior at Freeway On-Ramp Sections , 2007 .

[30]  P. Kubiak,et al.  A precise method of vehicle velocity determination based on measurements of car body deformation – non-linear method for the ‘Luxury’ vehicle class , 2018 .