参考文献/References:
[1] Huang S Y. Modeling of the gap acceptance behavior at a merging section of urban freeway [J]. Proceedings of the Eastern Asia Society for Transportation Studies, 2005, 5: 1641-1656.
[2] 谭云龙.快速路合流区微观交通仿真车道变换模型研究[D]. 长春:吉林大学交通学院, 2014.
[3] Chu T D, Nakamura H, Asano M. Modeling gap choice behavior at urban expressway merging sections[J]. Journal of Japan Society of Civil Engineers, Ser. D3(Infrastructure Planning and Management), 2013, 69(5):I_881-I_891. DOI:10.2208/jscejipm.69.i_881.[4] Wang E G, Sun J, Jiang S, et al. Modeling the various merging behaviors at expressway on-ramp bottlenecks using support vector machine models [J]. Transportation Research Procedia, 2017, 25: 1327-1341. DOI:10.1016/j.trpro.2017.05.157.
[5] Chu T D, Miwa T, Morikawa T. An analysis of merging maneuvers at urban expressway merging sections[J]. Procedia—Social and Behavioral Sciences, 2014, 138: 105-115. DOI:10.1016/j.sbspro.2014.07.186.
[6] Chu T D, Miwa T, Morikawa T. Discrete choice models for gap acceptance at urban expressway merge sections considering safety, road geometry, and traffic conditions[J]. Journal of Transportation Engineering, Part A: Systems, 2017, 143(7): 04017025. DOI:10.1061/jtepbs.0000053.
[7] Wan X, Jin P J, Gu H Y, et al. Modeling freeway merging in a weaving section as a sequential decision-making process[J]. Journal of Transportation Engineering, Part A: Systems, 2017, 143(5): 05017002. DOI:10.1061/jtepbs.0000048.
[8] Liu M M, Lu G Q, Wang Y P, et al. Preempt or yield? An analysis of driver’s dynamic decision making at unsignalized intersections by classification tree[J]. Safety Science, 2014, 65: 36-44. DOI:10.1016/j.ssci.2013.12.009.
[9] Yang X B, Zhang N. An improved method of determining car-following state[J]. Journal of Transportation Systems Engineering & Information Technology, 2006, 6(2):14-17.
[10] Suzuki K, Imada K, Matsumura Y. A study of collision risk estimation and users evaluation at merging section of urban expressway in Japan[J]. Transportation Research Procedia, 2016, 15: 783-793. DOI:10.1016/j.trpro.2016.06.065.
[11] Harrington P. Machine learning in action[M]. Connecticut,USA:Manning Publications Co., 2012:83-127.
相似文献/References:
[1]李婷婷,宋瑞.国家层面综合客运枢纽分层布局鲁棒优化模型[J].东南大学学报(自然科学版),2015,45(1):189.[doi:10.3969/j.issn.1001-0505.2015.01.033]
Li Tingting,Song Rui.Hierarchical layout robust optimization model for integrated passenger hub at national level[J].Journal of Southeast University (Natural Science Edition),2015,45(4):189.[doi:10.3969/j.issn.1001-0505.2015.01.033]
[2]李林超,张健,杨帆,等.基于核函数切换和支持向量回归的交通量短时预测模型[J].东南大学学报(自然科学版),2017,47(5):1032.[doi:10.3969/j.issn.1001-0505.2017.05.030]
Li Linchao,Zhang Jian,Yang Fan,et al.Traffic volume prediction based on support vector regression with switch kernel functions[J].Journal of Southeast University (Natural Science Edition),2017,47(4):1032.[doi:10.3969/j.issn.1001-0505.2017.05.030]