科罗拉多州立大学土木工程专业博士，主要从事人因与驾驶行为、交通大数据挖掘与建模、自动驾驶与智能网联下的交通安全等领域的研究工作。主持完成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，入选上海市青年科技英才扬帆计划，参与编写司法部行业标准1部、上海市地方标准1部，参编教材1部。在国际学术期刊和重要学术会议上共发表论文40余篇，其中1篇入选ESI热点论文，3篇入选ESI高被引论文，Google Scholar被引1669次（截至2024年12月31日），H-index=19。担任JCR二区SCI期刊International Journal of Environmental Research and Public Health特刊客座主编（Guest Editor）。担任多个国际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，Journal of Intelligent Transportation System，中国公路学报，美国TRB年会等。

研究领域：人因与驾驶行为、交通大数据挖掘与建模

招收专业：土木工程专业硕士研究生

科研项目

[1]中央高校基本科研业务费，2682022CX027，山区高速卡车编队行车安全关键问题及改善措施，2022.01-2023.12, 10万，主持；

[2]国家自然科学基金面上项目，72271207，灾害条件下韧性交通系统的安全效能研究，2022.01-2025.12, 48万，主研；

[3]国家自然科学基金面上项目，51978522，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， 2020/01-2023/12，60万，主研；

[4]道路交通安全公安部重点实验室开放课题，2023ZDSYSKFKT10，高速公路隧道内交通安全设施合理性与行车风险致因分析研究，2023.07-2024.07, 3万，主研；

[5]上海市青年科技英才杨帆计划（省部级），18YF1424600，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，2018/05-2021/04，20万，主持；

[6]国家自然科学基金青年项目，51808402，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，2019/01-2021/12，22万，主持；

[7]国家重点研发计划，2017YFC0803902，道路交通安全主动防控技术及系统集成 课题二 道路交通行为分析及特征谱建库技术，450万，2017-2020，主研。

期刊论文

[8]Xiaonan Li, Ning Zhang, Xiaoxiang Ma*(通讯), Wenlong Dingd, Feng Chen. he Service Level Analysis of Long-Distance Public Passenger Transportation: A Comparison With High-Speed Rail. Journal of Traffic and Transportation Engineering (English Edition) (已接收)(中科院2区)

[9]Wu Wentao, Ma Xiaoxiang*(通讯), 2023. Evaluation of the Risk of Truck Platoon under Crosswind regarding the Lateral Displacement on Horizontal Curves. Journal of Advanced Transportation, 2023.

[10]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. (中科院1区)

[11]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.

[12]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. (中科院1区)

[13]Chen Feng, Ding Wenlong, Gong xueyang, Ma xiaoxiang, Tang Daizhong, 2022. Impact of Shared Parking in the Central Business District on Real Estate Value Appreciation. Journal of Urban Planning and Development, 148(1), 04021069.

[14]Chen Feng, Peng Haorong, Ding Wenlong, Ma Xiaoxiang, Tang Daizhong, 2021. Customized bus passenger boarding and deboarding planning optimization model with the least number of contacts between passengers during COVID-19. Physica A: Statistical Mechanics and its Applications, 582, 126244.

[15]Song Mingtao, Chen Feng, Ma Xiaoxiang, 2021. Organization of autonomous truck platoon considering energy saving and pavement fatigue. Transportation Research Part D: Transport and Environment, 90, 102667.

[16]Chen Peiyan, Chen Feng, Byon Young-Ji, Ma Xiaoxiang, Dong Bowen, and Zhu Ming, 2021. Assessment on the crash risk factors of a typical long-span bridge using oversampling-based classification method and considering bridge structure movement. International Journal of Transportation Science and Technology. 10(4), 329-341.

[17]Chen Feng, Song Mingtao, Ma Xiaoxiang*(通讯), 2020. A lateral control scheme of autonomous vehicles considering pavement sustainability. Journal of Cleaner Production. p120669 doi:10.1016/j.jclepro.2020.120669 (中科院1区)

[18]Shao Xiaojun, Ma Xiaoxiang*(通讯), 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

[19]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

[20]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 (中科院1区)

[21]Chen Feng, Peng Haorong, Chan Pak Wai, Ma Xiaoxiang*(通讯), Zeng Xiqing, 2020. Assessing the risk of windshear occurrence at HKIA using rare events logistic regression. Meteorological Applications, 27(6), e1962.

[22]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.

[23]徐萌，潘晓东，陈丰，马小翔，2020. 彩色灯光视觉调节长隧道驾驶催眠缓解作用的试验. 中国公路学报, 33(11), 235-244.

[24]陈丰，彭浩荣，马小翔，梁诘馀，潘晓东, 2020 .侧风作用下货车驾驶员反应行为模型. 同济大学学报（自然科学版）, 48(5), 702-709.

[25]Chen Feng, Song Mingtao, Ma Xiaoxiang*(通讯), 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. (中科院1区)

[26]Chen Feng, Peng Haorong, Ma Xiaoxiang*(通讯), 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. (中科院1区)

[27]Chen Feng, Song Mingtao, Ma Xiaoxiang*(通讯) , 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. (ESI前1‰热点论文)

[28]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.

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

[30]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. (ESI前1‰热点论文)

[31]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,

[32]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. (ESI前1%高被引论文)

[33]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.

[34]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.

[35]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.

[36]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.

[37]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.

[38]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.

会议论文

[1]Ma Xiaoxiang, Xiang Mingxin, Jiang Xinguo, Zhou Yiman, Shao Xiaojun*, 2025. Evaluating Effects of Truck Platoon on The Lateral Behaviors of Adjacent Human-driven Vehicles. Transportation Research Board, Washington D.C., 2025.

[2]Ma Xiaoxiang, Xiang Mingxin, Jiang Xinguo, Shao Xiaojun*, 2025. Bayesian Survival Analysis of Interactions Between Truck Platoons and Surrounding Vehicles Through a Two-dimensional Surrogate Safety Measure. Transportation Research Board, Washington D.C., 2025.

[3]Wu Wentao, Ma Xiaoxiang*(通讯), 2023. Quantifying the Risk of Truck Platoon Regarding the Lateral Displacement on Horizontal Curves Subjected to Crosswinds. Transportation Research Board, Washington D.C., 2023.

[4]Song Mingtao, Chen Feng, Ma Xiaoxiang, 2019. A simulation of the traffic behavior with autonomous truck platoons based on cellular automaton, in: ICTIS 2019 - 5th International Conference on Transportation Information and Safety. doi:10.1109/ICTIS.2019.8883834.

[5]Yang Zhidan, Chen Feng, Ma Xiaoxiang*(通讯), Dong Bowen, 2019. Injury severity of pedestrians at mid-blocks: A random parameter ordered probit approach, in: ICTIS 2019 - 5th International Conference on Transportation Information and Safety. doi:10.1109/ICTIS.2019.8883531.

[6]Wu Yanyi, Chen Feng, Ma Xiaoxiang, 2018. The framework design of a collision-warning system for highway emergency parking harbor based on background difference method, Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018.

[7]Zhang Linlin, Chen Feng, Ma Xiaoxiang, 2018. A literature review of fuel economy in truck platoons, Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018.

[8]Zhang Lin, Chen Peiyan, Chen Feng, Ma Xiaoxiang, 2018. Resuming control from conditional automated vehicle: Drivers' response under different slowing down modes, Transportation Systems in the Connected Era - Proceedings of the 23rd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2018.

[9]Dong Bowen, Ma Xiaoxiang*(通讯), Chen Feng (2018). Analyzing the Injury Severity Sustained by Non-motorists at Mid-block Considering Non-motorists’ Pre-crash Behavior. Transportation Research Board 97th Annual Meeting, Washington, D.C., January 7th -11th, 2018.

[10]Peng Haorong, Ma Xiaoxiang, Chen Feng, Liang Jieyu (2018). Examining the Response of Trucks under Crosswind at Bridge-Tunnel Section Based on Driving Simulator. Transportation Research Board 97th Annual Meeting, Washington, D.C., January 7th -11th, 2018.

[11]Chen Peiyan, Chen Feng, Ma Xiaoxiang, Zhang Lin, Pan Xiaodong (2018). Examining the Influence of Decorated Sidewall in Road Tunnels Using FMRI Technology. Transportation Research Board 97th Annual Meeting, Washington, D.C., January 7th -11th, 2018.

[12]Chen Feng, Song Mingtao, Ma Xiaoxiang, Dong Bowen (2017). A Bayesian logistic regression model incorporating real-time weather and traffic data to identify crash-prone conditions on a long-span bridge. Transport and Society - Proceeding of the 22nd International Conference of Hong Kong Society for Transportation Studies, HKSTS 2017.

[13]Ma Xiaoxiang, Chen Suren, Chen Feng (2016). Correlated Random Parameter Marginalized Two-Part Model: An Application to Refined-Scale Longitudinal Crash Rate Data. Transportation Research Board 95th Annual Meeting, Washington, D.C., January 10th -14th, 2016.

[14]Chen Feng, Chen Suren, Ma Xiaoxiang (2016). Crash Frequency Prediction using Refined Temporal scale Data and Zero-inflated Negative Binomial Models with Random Effects. Transportation Research Board 95th Annual Meeting, Washington, D.C., January 10th -14th, 2016.

[15]Chen Feng, Ma Xiaoxiang, Chen Suren (2015). Crash Frequency Analysis Using Hurdle Models with Random Effects Considering Refined Panel Data. Transportation Research Board 94th Annual Meeting, Washington, D.C., January 11th -15th, 2015.

其他成果

[1]中华人民共和国司法部行业标准，2021，道路交通设施安全技术状况鉴定规范SF/T0099-2021.

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