[1] 张骏, 郑楠, 黄崇轩. 城市中心区非机动车系统设计优化与探索[J]. 北京航空航天大学学报, 2019, 45(6): 1218-1231. [ZHANG J, ZHENG N, HUANG C X.Optimal-design and exploration for non-motor vehicle system in urban center[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(6): 1218-1231.]
[2] 张旭, 朱普周, 段宇洲. 基于城市信号交叉口直行非机动车膨胀特性研究[J]. 安全与环境学报, 2021, 21(5): 1978-1984. [ZHANG X, ZHU P Z, DUAN Y Z.Research on the particular expanding impact of the non-motor vehicles when passing directly through the urbanarea signal intersections[J]. Journal of Safety and
Environment, 2021, 21(5): 1978-1984.]
[3] ESSA M, SAYED T, REYAD P. Transferability of real-time safety performance functions for signalized intersections [J]. Accident Analysis and Prevention, 2019(129): 263-276.
[4] 龙科军, 张燕, 邹志云, 等. 基于车辆轨迹的信号交叉口机非冲突判别[J]. 交通运输系统工程与信息, 2021,
21(1): 69-74. [LONG K J, ZHANG Y, ZOU Z Y, et al. Vehicle and non-motorized vehicle traffic conflict
recognition at signalized intersection based on vehicle trajectory[J]. Journal of Transportation Systems Engineering and Information Technology, 2021, 21(1):69-74.]
[5] 沈家军, 王炜, 陈学武. 城市道路交叉口混合交通流机动车与非机动车冲突概率[J]. 东南大学学报(自然科学版), 2010, 40(5): 1093-1096. [SHEN J J, WANG W,CHEN X W. Study on conflict probability of motor and
non-motor mixed traffic at urban intersections[J]. Journal of Southeast University(Natural Science Edition), 2010,40(5): 1093-1096.]
[6] 巫诚诚, 陈大伟. 交叉口非机动车冲突易发点空间预测模型[J]. 中国安全科学学报, 2021, 31(8): 165-171.
[WU C C, CHEN D W. Spatial prediction model for risk points of non-motor vehicle conflict in intersections[J].China Safety Science Journal, 2021, 31(8): 165-171.]
[7] XUE X, GE L, ZENG L, et al. Safety analysis of riding at intersection entrance using video recognition technology[J]. Computers, Materials & Continua, 2022, 72(3): 5135-
5148.
[8] GUO Y, LI Z, WU Y, et al. Exploring unobserved heterogeneity in bicyclists' red-light running behaviors at different crossing facilities[J]. Accident Analysis &
Prevention, 2018, 115: 118-127.
[9] 曲昭伟, 高雨虹, 宋现敏. 信号交叉口车路环境对电动自行车释放膨胀特性的影响分析[J]. 中国公路学报,
2020, 33(4): 126-136. [QU Z W,GAO Y H,SONG X M.
Effect analysis of vehicle-road environment at signalized
intersection on the release and expansion characteristics
of E-bikes[J]. China Journal of Highway and Transport,
2020, 33(4): 126-136.]
[10] 谭婷. 不规则信号交叉口直行电动自行车入侵效应研究[D]. 南京: 南京林业大学, 2023. [TAN T. Research
on intrusion effect of straight e-bike at irregular
signalized intersection[D]. Nanjing: Nanjing Forestry
University, 2023.]
[11] DINESH M, GEETAM T, SUDIPTO M. Urban traffic
safety assessment: A case study of six Indian cities[J].
Iatss Research, 2016, 39(2): 95-101.
[12] 蔡晓禹, 雷财林, 彭博, 等. 基于驾驶行为和信息熵的道路交通安全风险预估[J]. 中国公路学报, 2020, 33
(6): 190-201. [CAI X Y, LEI C L, PENG B, et al. Road
traffic safety risk estimation based on driving behavior
and information entropy[J]. China Journal of Highway
and Transport, 2020, 33(6): 190-201.]
[13] 党晓旭, 王元庆, 吴洲豪, 等. 改进的区域道路交通安全广义 DEA 评价模型[J]. 交通运输系统工程与信息,
2016, 16(4): 11-16. [DANG X X, WANG Y Q, WU Z H,
et al. An improved generalized DEA evaluation model of
regional road traffic safety[J]. Journal of Transportation
Systems Engineering and Information Technology, 2016,
16(4): 11-16.]
[14] 郑玉冰, 马羊, 程建川, 等. 基于轨迹数据的非机动车道内冲突事件自动识别与可视化[J]. 中国公路学报,
2022, 35(1): 71-84. [ZHENG Y B, MA Y, CHENG J C,
et al. Automated identification and visualization of
conflict events in bike lanes using trajectory data[J].
China Journal of Highway and Transport, 2022, 35(1):
71-84.]
[15] 欧阳森, 石怡理. 改进熵权法及其在电能质量评估中的应用[J]. 电力系统自动化, 2013, 37(21): 156-159,
164. [OU Y S, SHI Y L. A new improved entropy method
and its application in power quality evaluation[J].
Automation of Electric Power Systems, 2013, 37(21):
156-159, 164.
[16] 吴占稳, 张文. 改进熵权法及其在起重机安全评价中的应用[J]. 机械设计与研究, 2022, 38(1): 207- 210.
[WU Z W, ZHANG W. Improved entropy method and its
application in crane safety evaluation[J]. Machine Design
& Research, 2022, 38(1): 207-210. ]
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