[1] 国家自然科学基金青年项目，基于驾驶视觉的隧道口格栅式减光罩路段光环境优化理论研究，2019/01-2021/12，主持

[2] 上海市青年科技英才杨帆计划（省部级），隧道口格栅式减光设施对驾驶员视觉适应性影响机理研究，2018/05-2021/04，主持

[3] 国家自然科学基金面上项目，越海越江隧道口关联区行车安全与通行能力协同提升设计方法， 2020/01-2023/12，主研

[4]  企业委托项目，智慧高速信息交互测试研究，2020/03-2021/03，主持

[5] 企业委托项目，吾悦广场交通规划设计技术要点，2019/06-2019//12，主持

[6] 企业委托项目，莆田正荣财富中心酒店交通评价分析与设计，2019/12-2021/4，主持

本科生课程：驾驶员安全可靠性评价

[1] 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. 

[2] 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

[3] 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.

[4] 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.

[5] 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. 

[6] 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.

[7] 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 

[8] 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

[9] 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. 

[10] 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. 

[11] 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. 

[12] 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.

[13] 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.

[14] 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. 

[15] 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 

[16] 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

[17] 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.

[18] 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. 

[19] 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.

[20] 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

[1] 2018年获上海市公路协会科学技术奖一等奖，城市地下道路关键设计技术标准研究与应用，排名9/15

[2] 2019年获ICTIS最佳会议报告奖（The Best Presentation Award, ICTIS, 利物浦）

[3] 2017年获杰出贡献审稿人（Outstanding Contribution in Reviewing, Accident Analysis and Prevention）

[4] 2020, Most Cited Analytic Methods in Accident Research Articles (Elsevier). Ma, Xiaoxiang; Chen Suren; Chen, Feng (2017). “Multivariate space-time modeling of crash frequencies by injury severity levels.”

[1] Advances in Mechanical Engineering 客座编辑，2018

[2] International Journal of Environmental Research and Public Health 客座主编，2019

[3] Transportation Research Part C: Emerging Technology、Accidents Analysis & Prevention、Journal of Transport Geography、Journal of Intelligent Transportation Systems: Technology, Planning, and Operations、 Physica A: Statistical Mechanics and its Applications、Traffic Injury Prevention等国际SCI/SSCI期刊审稿专家