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徐天东

结合创新性理论方法研究和实践,近年在国际国内权威、核心期刊发表论文100余篇(其中,SCI/EI检索论文50余篇),参加美国交通运输研究学术年会(TRB)等重要国际会议20余次,撰写出版著作6部,申请授权发明专利10余项。

代表性学术论文:

[1] T.D. Xu*, Y. Hao, L.J. Sun and Z.R. Peng, 2011. Modeling drivers en-route diversion behavior under variable message sign messages using real detected traffic data. IET Intelligent Transport Systems, 5(4), pp. 294301. DOI: 10.1049/iet-its.2011.0060 (SCI/EI 收录,世界智能交通系统大会优秀论文)

[2] T.D. Xu*, Y. Hao, L.J. Sun and Z.R. Peng, 2011. Integrated route guidance and ramp metering consistent with drivers’ en-route diversion behavior. IET Intelligent Transport Systems, 5(4), pp. 267276. DOI: 10.1049/iet-its.2011.0073 (SCI/EI 收录, 世界智能交通系统大会优秀论文)

[3] T.D. Xu*, Y. Hao, Z.R. Peng and L.J. Sun, 2012. Automatic calibration of behavioral parameters for variable message signs-based route guidance consistent with driver behavior. Transportation Research Record: Journal of the Transportation Research Board, 2321(2321), pp.55-65. DOI10.3141/2321-08 (SCI/EI 收录)

[4] T.D. Xu*, Y. Hao, Z.R. Peng and L.J. Sun, 2012. Real-time travel time predictor for route guidance consistent with driver behavior. Canadian Journal of Civil Engineering, 39(10), pp. 1113-1124. DOI10.1139/l2012-092 (SCI/EI 收 录)

[5] T.D. Xu*, Y. Hao, L.J. Sun and Z.R. Peng, 2011. Empirical analysis and modeling of driversresponse to variable message signs in Shanghai, China. Transportation Research Record: Journal of the Transportation Research Board, 2243 (2243), pp.99-107. DOI10.3141/2243-12 (SCI/EI 收录)

[6] T.D. Xu*, Y. Hao, Z.R. Peng and L.J. Sun, 2013. Modeling probabilistic traffic breakdown on congested freeway flow. Canadian Journal of Civil Engineering, 40 (10), pp. 999-1008. DOI10.1139/cjce-2012-0067 (SCI/EI 收录)

[7] T.D. Xu*, Y. Hao, Z.R. Peng and L.J. Sun, 2014. Anticipatory traveler information system for freeway arterial networks. IET Intelligent Transport Systems, 8(3), pp. 286-297. DOI: 10.1049/iet-its.2012.0067 (SCI/EI 收录)

[8] T.D. Xu* and Y. Hao, 2021. Active group route guidance based on DODE: A novel modeling framework integrating dynamic driver behavior. Canadian Journal of Civil Engineering, 48(7), pp. 776784. DOI: 10.1139/cjce-2019-0737 (SCI/EI 收录)

[9] D.J. Sun, S. Wu, S. Shen and T.D. Xu*, 2021. Simulation and assessment of traffic pollutant dispersion at an urban signalized intersection using multiple platforms. Atmospheric Pollution Research, 12(2):101087. DOI: 10.1016/j.apr.2021.101087 (SCI/EI 收录)

[10] H. Wang, T.D. Xu* and F. Li, 2021. A novel emergency evacuation model of subway station passengers considering personality. Sustainability, 13 (10463), pp. 115. DOI: 10.3390/su131810463 (SCI/EI 收录)  

[11] T.D. Xu* and Y. Hao, 2020. A unified demanddiversion prediction approach to real-time group route guidance. KSCE Journal of Civil Engineering, 24(7), pp.2214-2223. DOI 10.1007/s12205-020-2091-x (SCI/EI 收录)

[12] H. Wang, Z. Jiang, T.D. Xu*, and F. Li, 2021. A quantitative approach of subway station passengers heterogeneity of decision preference considering personality traits during emergency evacuation. Sustainability, 132 (2540), pp. 115. https://doi.org/10.3390/su132212540. (SCI/EI 收录)

[13] T.D. Xu*, J.P. Guan, Y. Hao, and D.J. Sun, 2021. Real-time traffic state predictor based on dynamic traveller behaviour. Proceedings of the Institution of Civil Engineers (ICE) Transport, 2021(5) , pp.1-11. DOI: 10.1680/jtran.20.00085 (SCI/EI 收录)

[14] J.P. Guan and T.D. Xu*, 2023. Potential impacts of autonomous vehicles on car-oriented population: A developing country perspective. Transportation Research Board 102nd Annual Meeting, Washington, DC, pp. 1-20. (ISTP 收录, SCI/EI期刊收录)

[15] T.D. Xu*, H. Wang and J.X. Wang, 2023. Quantitative analysis and modeling of emergency evacuation psychology and heterogeneous decision-making behavior of subway passengers. BTR 5th  Annual Meeting, pp. 1-22. (SCI/EI期刊收录)

[16] T.D. Xu* and J.X. Wang, 2023. A novel deceleration traffic flow model with oscillatory congested states. BTR 5th  Annual Meeting, pp. 1-18. (SCI/EI期刊收录)

[17] T.D. Xu* and L. Zhao, 2023. A novel lightweight vehicle detection method based on efficient convolution and fine-pooling structure. Transportation Research Board 102nd Annual Meeting, Washington, DC, pp. 1-22. (SCI/EI期刊收录)

[18] T.D. Xu*, Y. Hao and L. Zhou, 2020. Integrated route diversion control and ramp metering based on a unified DRDB-DODE approach. Intelligent Transport Systems World Congress 2020 Annual Meeting/ ITS America 2020 Annual Meeting, Article ID: 20184, Los Angeles/Atlanta, USA, pp. 1-22.  (EI 收录)

[19] Y. Hao and T.D. Xu*. Integrated group en-route guidance, traffic signal control consistent with driver behavior, Transportation Research Board 96th Annual Meeting, Washington D.C., 2017.01.14-17. (ISTP 收录)

[20]T.D. Xu*, Y. Hao, Z.R. Peng and L.J. Sun. Anticipatory en-route guidance consistent with drivers’ diversion behavior: methodology and case study, Transportation Research Board 93th Annual Meeting, Washington D.C., 2014.01.14-17. (ISTP 收录)  

[21]T.D. Xu*, Y. Hao, Z.R. Peng and L.J. Sun, 2012. Automatic calibration of behavioral parameters for variable message signs-based route guidance consistent with driver behavior, Transportation Research Board 91th Annual Meeting, Washington D.C, 2012.01.14-17. (ISTP 收录)

[22]T.D. Xu*, Y. Hao, Z.R. Peng and L.J. Sun. Anticipatory Traveler Information System for Freeway Arterial Networks in Shanghai, China, Transportation Research Board 91th Annual Meeting, Washington D.C, 2012.01.14-17. (ISTP 收录)  

[23]T.D. Xu*, Y. Hao, Z.R. Peng and L.J. Sun, 2011. Empirical analysis and modeling of drivers’ response to variable message signs in Shanghai, Transportation Research Board 90th Annual Meeting, Washington D.C, 2011.01.14-17. (ISTP 收录)  

[24]T.D. Xu*, Y. Hao and L.J. Sun. Integrated route guidance and ramp metering system consistent with drivers’ dynamic diversion behavior, World Congress on Intelligent Transport Systems 17th Annual Meeting / ITS America Annual Meeting, 2010. (ISTP 收录)  

[25]T.D. Xu*, Y. Hao and L.J. Sun. Empirical analysis and modeling of drivers’ en-route diversion behavior under variable message sign messages using real detected traffic data in Shanghai, World Congress on Intelligent Transport Systems 17th Annual Meeting / ITS America Annual Meeting, 2010. (EI 收录)

[26]Y. Hao, T.D. Xu* and L.J. Sun. Stochastic nature of traffic flow and probabilistic model of spontaneous traffic breakdown, Transportation Research Board 88th Annual Meeting, Washington, DC, 2009.01.14-17. (ISTP 收录)

[27] T.D. Xu*, Y. Hao and L.Z. Zhou.   Real-time group route guidance based on an integrated demand–diversion prediction model: case study. International Conference on Transportation and Development (ICTD) 2020: Traffic and Bike/Pedestrian Operations, Seattle, Washington, 2020. (EI 收录)

[28] 王恒, 李枫, 江泽浩, 徐天东*, 2022. 地铁应急疏散时乘客决策行为偏好的量化方法. 同济大学学报:自然科学版,50(4), 571-579. (EI 收录)

[29]徐天东*, 郝媛,孙立军, 2013. 群体诱导信息下驾驶员响应行为的辨识与建模. 同济大学学报(自然科学版), 41(11)1706-1711.   (EI 收录)

[30]徐天东*, 郝媛,孙立军, 2010. 基于模型预测的网络交通路由优化控制方法. 同济大学学报(自然科学版), 38 (6)827-838. DOI: 10.3969/j.issn.0253-374x.2010.06.008  (EI 收录)

[31]徐天东*, 郝媛,孙立军, 2010. 基于模型预测的网络交通路由优化控制方法. 同济大学学报(自然科学版), 38 (6)827-838. DOI: 10.3969/j.issn.0253-374x.2010.06.008  (EI 收录)

[32]徐天东*, 郝媛,孙立军,2009. 不同交通信息下城市道路网络驾驶员动态路径选择行为研究. 同济大学学报(自然科学版), 37(8), 1029-1034.  (EI 收录)

[33]徐天东*, 郝媛,孙立军, 2009. 城市局域路网交通量与OD估计集成仿真方法. 同济大学学报(自然科学版), 372),214-219.   (EI 收录)  

[34]郝媛, 徐天东,孙立军, 2009.  交通流breakdown现象与交通扰动演化模型. 同济大学学报(自然科学版), 379),1178-1184.  DOI: 10.3969/j.issn.0253-374x.2009.09.007  (EI 收录)  

[35]郝媛, 徐天东*,孙立军, 2008. 城市快速路交通拥挤分析及拥挤阈值的确定. 同济大学学报(自然科学版), 36(5)609-615.  (EI 收录)

[36]徐天东*, 郝媛,孙立军, 2008. 城市快速路实时交通状态估计和行程时间预测. 同济大学学报(自然科学版), 36(10)1355-1361.    (EI 收录)  

[37]T.D. Xu*, Y. Hao, L. Zhou and X.S. Xu, 2020. Optimization strategy of Tianjin passenger transport hub under the collaborative development of Beijing, Tianjin municipalities and Hebei province. In: Proceedings of the 5th IEEE  International Conference on Intelligent Transportation Engineering, 525-529. DOI: 10.1109/ICITE50838.2020.9231321   (EI 收录)

[38]T.D. Xu*, Y. Hao, Y. Yao and H.B. Li, 2020. Real-time group route diversion control considering dynamic response behavior. In: Proceedings of the 5th IEEE International Conference on Intelligent Transportation Engineering, 50-54.   (EI 收录)

[39]T.D. Xu*, Y. Hao and L.Z. Zhou, 2020. Real-time group route guidance based on an integrated demand–diversion prediction model: case study. In: Proceedings of the International Conference on Transportation and Development 2020: Traffic and Bike/Pedestrian Operations, Seattle, Washington, 317-328.  (EI 收录)

[40]周丽珍, 张巧格, 徐天东, 2019. 合乘模式下HOT车道设置的演化博弈分析. 重庆交通大学学报(自然科学版), 38(11), 104-110.  (EI 收录)

[41]徐天东*, 郝媛,孙立军, 2011. 城市快速路网络交通整合控制策略研究. 武汉理工大学学报(交通科学与工程版), 351),1-5.   (EI 收录)

[42]T.D. Xu*, T. Osama, Y. Hao and L.J. Sun, 2008. Urban expressway real-time traffic state estimation and travel time prediction within EKF framework. In: Proceedings of the 1st International Symposium on Transportation and Development Innovative Best Practices, American Society of Civil Engineers, 2008 (319), 192-197.   (EI 收录)

[43]Y. Hao, T.D. Xu* and L.J. Sun, 2008. Research on spatial-temporal features on urban freeway congestion. In: Proceedings of the 1st International Symposium on Transportation and Development Innovative Best Practices, American Society of Civil Engineers, 2008 (319), 185-191.   (EI 收录)    

[44]T.D. Xu*, Y. Hao and L.J. Sun, 2007. Travel time prediction of urban expressway in unstable traffic flow. In: Proceedings of the 1st International Conference on Transportation Engineering, American Society of Civil Engineers, 2205-2210.   (EI 收录)

[45]Y. Hao, T.D. Xu* and L.J. Sun, 2007. Analysis and control of recurrent traffic congestion on urban expressway. In: Proceedings of the 1st International Conference on Transportation Engineering, American Society of Civil Engineers, 618-623.   (EI 收录)

[46]徐天东*, 郝媛,孙立军, 2008. 城市快速路实时交通状态估计器的构建. 计算机工程, 3417),26-30.    (EI 收录)

[47]T.D. Xu*, Y. Hao and L.J. Sun, 2008. Urban local network traffic flow and OD estimation within monte carlo simulation framework. In: Proceedings of the 10th International Conference on Application of Advanced Technologies in Transportation,1-12.  (EI 收录)

[48]徐天东*, 郝媛,孙立军, 2008. 城市快速路交通诱导和匝道控制集成仿真模型. 计算机工程与应用, 44(25)13-17.    (EI 收录)

[49]徐天东*,孙立军,耿媛婧,杜豫川, 2008. 蒙特卡罗法在局域网交通信息估计中的应用. 计算机工程与应用, 44(15)202-204.    (EI 收录)

[50] 郝媛,徐天东*王雨轩,陈莎,王继峰,李志超,张雷2023.面向城市管理平台的道路网韧性评价指标体系构建. 城市交通, 21(02), 60-72. (核心期刊)

[51] Y. Hao, J.F. Wang and T.D. Xu, 2021. Discussion on transportation planning through interaction of social class, space and transportation. Urban Transport 19 (1) , 29-38, 57. (核心期刊)

[52]Y. Hao, T.D. Xu and S.F. Wu, 2020. Conflict and coordination between regular railway and cities in the network era of high-speed railway. Urban Transport, 18 (2), 67-75, 109.  (核心期刊)

[53]郝媛,于鹏,徐天东*,杨克青,2020. 从阶层、空间、交通互动视角解读交通规划. 2020年中国城市交通规划年会论文集,中国城市规划学会城市交通规划学术委员,1-11.

[54]Y. Hao, J.F. Wang and T.D. Xu, 2019. Transportation development in Chengdu-Chonqing city cluster under the strategy of Yangtze river economic belt. Urban Transport 17 (5), 18-23.  (核心期刊)

[55]S.F. Wu, K.H. Wu and T.D. Xu, 2019. Relationship between urban scale and traffic congestion based on the scaling laws. Urban Transport 17 (3), 105-110, 47.  (核心期刊)

[56]李鑫, 徐天东, 2019. 一带一路框架下的南宁区域交通发展策略研究. 综合运输, 2019(1), 7-13.  (核心期刊)

[57]Y. Hao, B. Quanand T.D. Xu, 2018. Port group development in the upper reaches of the Yangtze river under the strategy of the Yangtze river economic zone. Urban Transport 16 (2) , 61-69. (核心期刊)

[58]岳雷, 徐天东, 夏海平, 杜豫川,2010. 上海世博会可变车道设置方案研究. 城市交通, 8(2) 25-30.    (核心期刊)

[59]郝媛, 徐天东,孙立军, 2009. 交通流基本图及相关交通流理论研究综述与讨论. 系统工程,8 (2) , 1-10.  (核心期刊)

[60]徐天东*, 郝媛,孙立军等,2008. 面向2010年上海世博的综合交通诱导系统. 第三届中国智能交通年会, 全国智能交通系统协调指导小组55-61.

[61]徐天东*, 郝媛,孙立军, 胡惠鹏, 2007. 公路交通资产管理的方法和系统研究. 交通信息与安全, 25(5), 93-96.   (核心期刊)

[62]徐天东*, 郝媛,孙立军, 2007. 一种新的城市快速路行程时间预测技术. 交通信息与安全, 2007(02) , 83-87. (核心期刊)

[63]郝媛, 徐天东,孙立军. 高速公路路面养护辅助决策系统. 计算机辅助工程, 2007(3), 128-131. (核心期刊)

[64]曾胜男,孙立军,徐天东,陈长.基于GIS的高速公路路面养护决策支持系统.交通与计算机,2005(05):84-87. (核心期刊)

[65]郝媛,王继峰,徐天东*, 2021. 应对高强度出行的路网可靠性指标体系研究. 2021年中国城市交通规划年会论文集,中国城市规划学会城市交通规划学术委员.

[66]郝媛,于鹏,徐天东*, 2021. 次级城市边缘化区位破解对策. 2021年中国城市交通规划年会论文,中国城市规划学会城市交通规划学术委员.

[67]徐天东*. 新时代智慧城市智能低碳交通系统. 中规院智慧低碳城市交流报告,中国北京,2021.

[68]徐天东*. 智慧城市与未来交通——新时代智慧城市智能交通发展路径探索. 世界交通运输大会(WTC2021)交叉学科学部论坛主题报告,中国西安,2021.


代表性著作:

[1] 徐天东,《考虑驾驶员动态响应行为的区域群体交通诱导理论》,人民交通出版社,2023.

[2] 孙立军,徐天东等,《道路与机场设施管理学》,ISBN 787114075520,人民交通出版社,2009.

[3] Tiandong XuClimate change and transportation adaptation analysis: Traffic flow breakdown and travel reliability ISBN 9781495176920University of Florida Independent Publisher ScholarsPress, 2016.

[4] Tiandong XuBig-data-driven ATMS: Driver behavior and active traffic management, ISBN 9781495176944, University of FloridaIndependent PublisherScholarsPress, 2017.

[5] Tiandong XuBig-data-driven TransDec: Network travel time reliability modeling and applicationISBN 9781792300301University of FloridaIndependent PublisherScholarsPress2018.

[6] Tiandong XuBig-data-driven ATMS: Driver behavior automatic calibration, modeling and applicationISBN 9781495176913University of FloridaIndependent PublisherScholarsPress2015.

[7] Tiandong XuClimate change and transportation adaptation analysis: Dynamic travel behavior and active traffic routing and control modeling for regional evacuationsISBN 9781495176937University of FloridaIndependent Publisher ScholarsPress2015.


代表性发明专利:

[1] 考虑驾驶员动态响应行为的区域群体交通诱导系统及方法  201910080370.3  徐天东, 郝媛,马林等

[2] 考虑驾驶员动态响应行为的区域群体交通诱导系统  201920147621.0  徐天东, 郝媛,马林等

[3]一种快速道路行程时间可靠度监测分析系统及方法 201511006148.7 徐天东,郝媛,马林等

[4]一种快速道路行程时间可靠度监测系统  201521116122.3 郝媛,徐天东,马林等

[5]一种用于群体诱导信息下驾驶员响应行为的辨识方法  201210214548.7 徐天东, 郝媛,孙立军等

[6]群体诱导信息下驾驶员响应行为的数据采样和辨识系统  201210220058.8  徐天东, 郝媛,孙立军等

[7]一种基于双截面环形线圈检测器的道路交通事件检测方法  201210040985.1   王殿海,徐天东等

[8]一种基于单截面环形线圈检测器的道路交通事件检测方法  201210181786.2   王殿海,徐天东等

[9]考虑出行可靠性的交通规划和管理建模与优化仿真分析系统  2017R11L086274 徐天东,郝媛,马林等

[10]面向主动交通的实时智能交通诱导实验分析系统  2016R11L049707 徐天东,郝媛,马林等

[11]城市快速路交通状态和breakdown概率实时监测分析系统  2013R11L013167  郝媛,徐天东等




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