马小翔 副教授

硕士生导师

  • 学历:博士研究生毕业
  • 学位:工学博士学位
  • 办公地点:综合楼806
  • 性别:
  • 在职信息:在岗
  • 毕业院校:科罗拉多州立大学
  • 所在单位:交通运输与物流学院
  • 学科:计算机科学与技术
    统计学
    交通运输规划与管理
    交通工程
  • 个人简介
  • 研究方向
  • 社会兼职
  • 教育经历
  • 工作经历
  • 团队成员
  • 其他联系方式

主要研究兴趣包括人因与驾驶行为研究、事故数据挖掘与建模、隧道与地下道路交通安全、大型车辆(卡车及卡车编队)安全分析等。主持国家自然科学基金青年基金一项,参与重点研发及国家自然科学基金面上项目多项,入选2018年度上海市青年科技英才扬帆计划、2018年同济大学青年优秀人才培养行动计划。近五年以来,在国际学术期刊和重要学术会议上共发表论文近30篇,其中Analytic Methods in Accident Research、Transportation Research Part C等SCI/SSCI期刊收录18篇(11篇一作/通讯),1篇入选ESI热点论文,3篇入选ESI高被引论文,Google Scholar被引950次(截至2022年4月20日),H-index=15。担任JCR二区SCI期刊International Journal of Environmental Research and Public Health特刊客座主编(Guest Editor);同时是多个国际SCI期刊与国际会议审稿专家,包括Transportation Research Part C: Emerging Technology,Accidents Analysis & Prevention,Journal of Transport Geography,Tunnelling and Underground Space Technology,中国公路学报,TRB等。

发表论文

  • [1] 马小翔,陈丰,张霖,2022. 预期接管场景下接管绩效及接管风险研究. 中国公路学报, 35(1),159-168.

  • [2] Shao Xiaojun, Chen Feng, Ma Xiaoxiang, Pan Xiaodong, 2022. The impact of lighting and longitudinal slope on driver behaviour in underwater tunnels: a simulator study. Tunneling and Underground Space Technology, 122, 104367.

  • [3] Ma Xiaoxiang, Chen Suren, Chen Feng, 2017. Multivariate space-time modeling of crash frequencies by injury severity levels, Analytic Methods in Accident Research, 15, 29-40. 

  • [4] Chen Feng, Song Mingtao, Ma Xiaoxiang* , 2019.  Investigation on The Injury Severity of Drivers In Rear-End Collisions Between Cars Using A Random Parameters Bivariate Ordered Probit Model, International Journal of Environmental Research and Public Health 16, no. 14: 2632

  • [5] Ma Xiaoxiang, Chen Suren, Chen Feng, 2018. Correlated Random Parameter Marginalized Two-Part Model: An Application to Refined-Scale Longitudinal Crash Rates Data, Journal of Transportation Engineering Part A System, 144 (2), 04017071.

  • [6] Ma Xiaoxiang, Chen Suren, Chen Feng, 2016. Correlated Random-Effects Bivariate Poisson Lognormal Model to Study Single-Vehicle and Multivehicle Crashes, Journal of Transportation Engineering, 142, 202-209.

  • [7] Ma Xiaoxiang, Chen, Feng, Chen Suren, 2015. Modeling crash rates for a mountainous highway using refined-scale panel data, Transportation Research Record, No. 2515, 10-16. 

  • [8] Ma Xiaoxiang, Chen Feng, Chen Suren, 2015. Empirical Analysis of Crash Injury Severity on Mountainous and Non-Mountainous Interstate Highways, Traffic Injury Prevention, 7, 715-726.

  • [9] Chen Feng, Song Mingtao, Ma Xiaoxiang*, 2020. A lateral control scheme of autonomous vehicles considering pavement sustainability. Journal of Cleaner Production. p120669 doi:10.1016/j.jclepro.2020.120669 

  • [10] Shao Xiaojun, Ma Xiaoxiang*, Chen Feng, Song Mingtao, Pan Xiaodong, You Kesi, 2020. A random parameters ordered probit analysis of injury severity in truck involved rear-end collisions. International journal of environmental research and public health. doi:10.3390/ijerph17020395

  • [11] Chen Feng, Song Mingtao, Ma Xiaoxiang*, Zhu Xingyi, 2019. Assess the impacts of different autonomous trucks’ lateral control modes on asphalt pavement performance, Transportation Research Part C: Emerging Technologies 103: 17-29. 

  • [12] Chen Feng, Peng Haorong, Ma Xiaoxiang*, Liang Jieyu, Hao Wei, Pan Xiaodong, 2019. Examining the safety of trucks under crosswind at bridge-tunnel section: A driving simulator study, Tunnelling and Underground Space Technology 92: 103034. 

  • [13] Dong Bowen, Ma Xiaoxiang*, Chen Feng, 2018. Analyzing the Injury Severity Sustained by Non-motorists at Mid-block Considering Non-motorists’ Pre-crash Behavior, Transportation Research Record

  • [14] Chen Feng, Chen Suren, Ma Xiaoxiang, 2018. Analysis of Hourly Crash Likelihood using Unbalanced Panel Data Mixed Logit Model and Real-time Driving Environmental Big Data, Journal of Safety Research, 65, 153-159.

  • [15] Dong Bowen, Ma Xiaoxiang, Chen Feng, Chen Suren, 2018. Investigating the Differences of Single- and Multi-vehicle Accident Probability Using Mixed Logit Model, Journal of Advanced Transportation.

  • [16] Chen Feng, Ma Xiaoxiang, Chen Suren, 2014. Refined-scale panel data crash rate analysis using random-effects tobit model. Accident Analysis and Prevention, 73, 323-332. 

  • [17] Zhang Linlin, Chen, Feng, Ma Xiaoxiang, Pan, Xiaodong, 2020. Fuel Economy in Truck Platooning: A Literature Overview and Directions for Future Research. Journal of Advanced Transportation. doi:10.1155/2020/2604012 

  • [18] Chen Peiyan, Chen Feng, Zhang Lin, Ma Xiaoxiang, Pan, Xiaodong, 2020. Examining the influence of decorated sidewaall in road tunnels using fMRI technology. Tunnelling and Underground Space Technology. doi:10.1016/j.tust.2020.103362

  • [19] Peng Haorong, Ma Xiaoxiang, Chen Feng, 2020. Examining Injury Severity of Pedestrians in Vehicle–Pedestrian Crashes at Mid-Blocks Using Path Analysis. International Journal of Environmental Research and Public Health, 17, 6170.

  • [20] Chen Feng, Ma Xiaoxiang, Chen Suren, Yang Lin, 2016. Crash Frequency Analysis Using Hurdle Models with Random Effects Considering Short-Term Panel Data, International Journal of Environmental Research and Public Health, 13, 1043. 

  • [21] Chen Feng, Chen Suren, Ma Xiaoxiang, 2016. Crash Frequency Modeling Using Real-Time Environmental and Traffic Data and Unbalanced Panel Data Models, International Journal of Environmental Research and Public Health, 13, 609.

  • [22] 徐盟,潘晓东,陈丰,马小翔,2020. 彩色灯光视觉调节对长隧道驾驶催眠缓解作用的试验. 中国公路学报


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