[1]

Yang D, Jia B, Dai L, Jin JP, Xu L, et al. 2022. Optimization model for the freeway-exiting position decision problem of automated vehicles. Transportation Research Part B: Methodological 159:24−48

doi: 10.1016/j.trb.2022.03.003
[2]

Zhang MY. 2016. Empirical study of freeway interchange crash characteristics and influence areas. Thesis. University of Missouri, Columbia. pp. 12-15
[3]

Huang Y, Chen F, Song M, Pan X, You K. 2023. Effect evaluation of traffic guidance in urban underground road diverging and merging areas: a simulator study. Accident Analysis & Prevention 186:107036

doi: 10.1016/j.aap.2023.107036
[4]

Carber NJ, Gadiraju RP. 1990. Effects of truck strategies on traffic flow and safety on multilane highways. Transportation Research Record 2000:49−54
[5]

Jo S, Gan A. 2002. Impacts of truck-lane restrictions on freeway traffic operations. The 82nd Annual Meeting of the Transportation Research Board. Washington, D.C.: Transportation Research Board
[6]

Jia B, Jiang R, Wu QS. 2004. Traffic behavior near an off ramp in the cellular automaton traffic model. Physical Review E 69(5):056105

doi: 10.1103/PhysRevE.69.056105
[7]

Yuan J, Abdel-Aty M, Cai Q, Lee J. 2019. Investigating drivers' mandatory lane change behavior on the weaving section of freeway with managed lanes: a driving simulator study. Transportation Research Part F: Traffic Psychology and Behaviour 62:11−32

doi: 10.1016/j.trf.2018.12.007
[8]

Xu T, Zhang Z, Wu X, Qi L, Han Y. 2021. Recognition of lane-changing behavior with machine learning methods at freeway off-ramps. Physica A: Statistical Mechanics and its Applications 567:125691

doi: 10.1016/j.physa.2020.125691
[9]

Duan L. 2015. Effects of operation mode on traffic safety in multi-lane freeway diverge segment. Thesis. Southeast University, China. pp. 45−46
[10]

Kong D. 2018. Research on the impact of heavy vehicles on the traffic operation of multi-lane freeways. Thesis. Southeast University, China. pp. 131−50
[11]

Bai Y. 2019. Research on barrier effect of multi-lane highway trucks. Thesis. Chang'an University, China. pp. 46−67
[12]

Zhou H. 2018. Analysis of Truck Operating Characteristics Near Expressway Exit-ramps Based on Drone Footages. Thesis. Southeast University, China. pp. 34−64
[13]

Gao YF, Zhao X, Shen Y, Luo HH. 2023. An improved car-following model for mixed passenger and freight traffic on expressway based on NGSIM data. Journal of Highway and Transportation Research and Development 40(09):187−96

doi: 10.3969/j.issn.1002-0268.2023.09.02
[14]

Zhao LT. Cellular automation model of traffic flow considering the tendency of frequent lane-changing. Thesis. Harbin Institute of Technology, China. pp. 22−49
[15]

Ye L, Yamamoto T. 2018. Modeling connected and autonomous vehicles in heterogeneous traffic flow. Physica A: Statistical Mechanics and ITS Applications 490:269−77

doi: 10.1016/j.physa.2017.08.015
[16]

Zhu M, Wang X, Tarko A, Fang SE. 2018. Modeling car-following behavior on urban expressways in Shanghai: a naturalistic driving study. Transportation Research Part C: Emerging Technologies 93:425−45

doi: 10.1016/j.trc.2018.06.009
[17]

Qiu XP, Yu D, Sun RX, Yang D. 2015. Cellular automata model based on safety distance. Journal of Transportation Systems Engineering and Information Technology 15(2):54−60
[18]

Jing M, Deng W, Ji YJ, Wang H. 2013. Influences of time step and cell size on cellular automaton model. Journal of Jilin University (Engineering and Technology Edition) 43(2):310−16
[19]

Bham GH, Benekohal RF. 2004. A high fidelity traffic simulation model based on cellular automata and car-following concepts. Transportation Research Part C: Emerging Technologies 12(1):1−32

doi: 10.1016/j.trc.2002.05.001
[20]

Wang YM, Zhou LS, Lu YB. 2008. Lane changing rules Based on cellular automaton traffic flow model. China Journal of Highway and Transport 20(1):89−93
[21]

Zhong H, Ma W, Wang L. 2023. An assessment of road conditions and traffic situations impact on multi-type single and chain conflicts. Journal of Transport Information and Safety 41(6):114−23
[22]

Hu J, He L, Wang R. 2020. Review of safety evaluation of freeway interchange. China Journal of Highway and Transport 33(7):17−28

doi: 10.19721/j.cnki.1001-7372.2020.07.002
[23]

Zhan CW. 2022. Research on traffic risk prediction method in highway diversion area based on vehicle trajectory. Thesis. Southeast University, China. pp. 41−95
[24]

Peng B, Wang Y, Xie J, Zhang YY, Tang J. 2020. Multi-stage lane changing decision model of urban trunk road's short weaving area based on cellular automata. Journal of Transportation Systems Engineering and Information Technology. 20(04):41−48+70

doi: 10.16097/j.cnki.1009-6744.2020.04.007