硕士生导师
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,编写行业标准1部、地方标准1部。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期刊收录近30篇(一作/通讯13篇),1篇入选ESI热点论文,3篇入选ESI高被引论文,Google Scholar被引1233次(截至2023年6月26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。
谷歌学术主页:https://scholar.google.com/citations?hl=en&user=NnWkg6UAAAAJ&view_op=list_works&sortby=pubdate
[1] Ma Xiaoxiang,Tu Zhimin,Chen Feng,2022. A reliability-based approach to evaluate the lateral safety of truck platoon under extreme weather conditions. Accident Analysis & Prevention 174, 106775.
[2] 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.
[3] 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.
[4] 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.
[5] 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
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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
[11] 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
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
[17] 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.
[18] 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
[19] 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
[20] 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.
[21] 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.
[22] 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.
[23] 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
欢迎你报考马小翔老师的研究生,报考有以下方式:
1、参加西南交通大学暑期夏令营活动,提交导师意向时,选择马小翔老师,你的所有申请信息将发送给马小翔老师,老师看到后将和你取得联系,点击此处参加夏令营活动
2、如果你能获得所在学校的推免生资格,欢迎通过推免方式申请马小翔老师研究生,可以通过系统的推免生预报名系统提交申请,并选择意向导师为马小翔老师,老师看到信息后将和你取得联系,点击此处推免生预报名
3、参加全国硕士研究生统一招生考试报考马小翔老师招收的专业和方向,进入复试后提交导师意向时选择马小翔老师。
4、如果你有兴趣攻读马小翔老师博士研究生,可以通过申请考核或者统一招考等方式报考该导师博士研究生。