师资力量
一、 基本情况
男，内蒙古赤峰人。1995年毕业于同济大学运输管理工程专业，获学士学位；1998年毕业于北京交通大学运输管理工程专业，获硕士学位，2004年毕业于加拿大里贾纳大学交通工程专业，获博士学位。2003年12月-2005年12月先后于加拿大里贾纳大学和卡尔加里大学开展博士后研究。2006至2013年间受聘为加拿大新布伦瑞克大学助理教授及副教授，2013年起任职于武汉理工大学智能交通系统研究中心教授、博士生导师，现任智能交通系统研究中心综合交通规划及安全研究所所长。
二、 研究方向
主要研究方向：土地交通整体规划、综合交通规划、智能交通系统、交通工程。
三、 主要工作业绩
主持加拿大国家自然科学基金（包含重点、面上、设备及创新基金各一项）、新布伦瑞克省创新基金、湖北省自然科学基金等近20项；主讲系统设计、交通基础设施设计、交通规划与模型、城市规划、交通地理信息系统等课程；自任职于武汉理工大学以来，成立了由十多名年轻教师、博士后、博硕士研究生组成的“交通规划与环境研究组”，负责此方向的学科建设。
【1】 基于遥感和地理信息系统的土地信息采集专家系统（加拿大自然科学与工程基金委重点项目的资助），钟鸣（项目负责人）。
【2】 个人出行行为中的路径选择、行为周期以及出行时空规律的研究（加拿大国家自然科学与工程基金、中国国家自然科学基金和国家重点实验室基金的资助），钟鸣（项目参与人）。
【3】 通过遥感采集车流信息（获得加拿大自然科学与工程基金资助），钟鸣（项目负责人）
【4】 交通数据分析及参数估计（获得加拿大自然科学与工程基金资助），钟鸣（项目负责人）。
【5】 武汉市土地交通整体规划演示模型开发(横向项目) ,钟鸣（项目负责人），基于智能手机平台的大众外包出行行为调查平台开发(武汉理工大学校自主创新重点项目),钟鸣（项目负责人）
【6】 综合交通规划与枢纽安全研究(武汉理工大学ESI学科建设计划项目)
【7】 基于GIS/遥感技术的土地利用信息提取专家系统研究(湖北省自然科学基金) ,钟鸣（项目负责人）The Development of Intelligent Transportation Systems Through the Integration of Intelligent Vehicles and An Intelligent Infrastructure(Leaders Opportunity Fund), 钟鸣（项目负责人）
【8】 Quantifying Impacts of Sprawl in Greater Fredericton Area: Greenhouse Gas Emissions, Land Loss, and Transit Viability(Research Contract), 钟鸣（项目负责人）
【9】 Development of a High-fidelity Urban Spatial Information System for Advanced Land Use and Transportation Planning(Strategic Project Grant) ,钟鸣（项目负责人）
【10】 Automating the extraction of built infrastructure from LiDAR for enhanced transportation & land use planning (Engage Grant) ,钟鸣（项目负责人）
【11】 Development of High-Fidelity Transportation Models with Intelligent Geospatial Data and Computing(Research Innovation Fund) ,钟鸣（项目负责人）
【12】 Study of the Effect of Canadian Socio-demographics on Travel/housing Demand(Research Innovation Fund),钟鸣（项目负责人）
【13】 Advancing Transportation Data Systems for Timely Information Delivery and Improved Parameter Estimation(Equipment Grant) ,钟鸣（项目负责人）
【14】 Research Tools for A Virtual-Reality Transportation Laboratory(Equipment Grant) ,钟鸣（项目负责人）
四、 主要研究成果
发表期刊论文、会议论文及报告200多篇，其中SCI/EI收录60多篇；获得北美授权专利1项。
【1】 Tang Q, Zhong M., Ma X.F., Hunt J.D. , Wang, H.N. Scissor Differences of Socioeconomics, Travel and Space Consumption Behavior of Rural and Urban Households: A Case Study in City of Wuhan, China[C]. Transportation Research Board 96th Annual Meeting, 2017, 15p: 01631456
【2】 Yu B.L., Zhong M., Hunt J.D., A Spatial Linear Programming Method for Estimating Zonal Space Use Coefficients and its Application for Integrated Land Use Transport Modeling [C]. Transportation Research Board 96th Annual Meeting, 2017, 16p: 01629940
【3】 Atombo C, Wu C, Zhong M, et al. Investigating the motivational factors influencing drivers intentions to unsafe driving behaviours: Speeding and overtaking violations[J]. Transportation Research Part F Traffic Psychology & Behaviour, 2016, 43:104-121.
【4】 Chen Z, Wu C, Zhong M, et al. Identification of common features of vehicle motion under drowsy/distracted driving: A case study in Wuhan, China.[J]. Accident Analysis & Prevention, 2015, 81:251-259.
【5】 Shiravi, S., Zhong, M., Beykaei, A., Hunt, J.D. and Abraham, J.E. (2015) Assess the Utility of LiDAR Data in Extracting Base-Year Floorspace and a Comparison with Census-Based Approach, Paper Accepted for publishing on Vol. 42, No. 4, Environment and Planning: Part B.
【6】 Beykaei，A., Zhong, M.，Zhang, Y. Development of a Land Use Extraction Expert System through Morphological and Spatial Arrangement Analysis [J].Engineering Applications of Artificial Intelligence，2015，37:221-235.
【7】 Zhong, M.，Shan, R., Du, D.L., Lu, C.Y. A comparative analysis of traditional four-step and activity-based travel demand modeling: a case study of Tampa, Florida [J]. Transportation Planning and Technology，2015,38:517-533
【8】 Shiravi S, Zhong M, Beykaei S A, et al. Estimation of Base-Year Floor Space Data: Comparison of Census-Based and Lidar–Geographic Information System Approaches[J]. Transportation Research Board Annual Meeting, 2015.
【9】 Bagheri E, Zhong M, Christie J. Improving AADT Estimation Accuracy of Short-Term Traffic Counts Using Pattern Matching and Bayesian Statistics[J]. Journal of Transportation Engineering, 2015, 141(6):A4014001.
【10】 Beykaei, A, Zhong, M., Shiravi, S., Zhang, Y. A hierarchical rule-based land use extraction system using geographic and remotely sensed data: A case study for residential uses [J]. Transportation Research Part C: Emerging Technologies，2014，47:155–167.
【11】 Beykaei S A, Zhong M, Zhang Y. Extracting Urban Subzonal Land Uses through Morphological and Spatial Arrangement Analyses Using Geographic Data and Remotely Sensed Imagery[J]. Journal of Urban Planning & Development, 2014, 140(2):04013010.
【12】 Mustafa R, Zhong M. Challenges and Opportunities in Applying High-Fidelity Travel Demand Model for Improved Network-Wide Traffic Estimation: A Review and Discussion[J]. Open Transportation Journal, 2014, 8(1):1-18.
【13】 Dey V, Zhang Y, Zhong M, et al. Image segmentation techniques for urban land cover segmentation of VHR imagery: Recent developments and future prospects[J]. International Journal of Geoinformatics, 2013, 9(4).
【14】 Salehi B, Zhang Y, Zhong M. A Combined Object- and Pixel-Based Image Analysis Framework for Urban Land Cover Classification of VHR Imagery[J]. Photogrammetric Engineering & Remote Sensing, 2013, 79(11):999-1014.
【15】 Si B, Zhong M, Liu J, et al. Development of a transfer‐cost‐based logit assignment model for the Beijing rail transit network using automated fare collection data[J]. Journal of Advanced Transportation, 2013, 47(3):297-318.
【16】 Zhong, M, Wu, C, Hunt, J.D. Gender differences in activity participation, time-of-day and duration choices: new evidence from Calgary [J]. Transportation planning and technology, 2012, 35(2): 175-190.
【17】 BingfengSI, MingZHONG, XiaobaoYANG, et al. MODELINGTHECONGESTIONCOSTANDVEHICLEEMISSIONWITHINMULTIMODALTRAFFICNETWORKUNDERTHECONDITIONOFEQUILIBRIUM[J]. Journal of Systems Science and Systems Engineering, 2012, 21(4):385-402.
【18】 Salehi B, Zhang Y, Zhong M, et al. Object-Based Classification of Urban Areas Using VHR Imagery and Height Points Ancillary Data[J]. Remote Sensing, 2012, 4(8):2256-2276.
【19】 Salehi B, Zhang Y, Zhong M, et al. A review of the effectiveness of spatial information used in urban land cover classification of VHR imagery[J]. International Journal of Geoinformatics, 2012, 8(2):35-51.
【20】 Salehi B, Zhang Y, Zhong M. Automatic Moving Vehicles Information Extraction From Single-Pass WorldView-2 Imagery[J]. IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing, 2012, 5(1):135-145.
【21】 Bingfeng Si, Ming Zhong, Liang Gao, et al. Hierarchical network-based equilibrium model and algorithm for a mixed-traffic urban transport system[J]. Transportation Planning & Technology, 2012, 35(5):1-15.
【22】 Si B, Zhong M, Yang X, et al. Urban transit assignment model based on augmented network with in-vehicle congestion and transfer congestion[J]. Journal of Systems Science and Systems Engineering, 2011, 20(2):155-172.
【23】 Zhong, M, Hunt, J.D. Exploring best-fit hazard functions and lifetime regression models for urban weekend activities: Case study [J]. Journal of Transportation Engineering, 2010, 136(3): 255-266.
【24】 BingFeng Si, Ming Zhong, HaoZhi Zhang, et al. An improved Dial's algorithm for logit-based traffic assignment within a directed acyclic network[J]. Transportation Planning & Technology, 2010, 33(2):123-137.
【25】 Si B F, Zhong M, Sun H J, et al. Equilibrium model and algorithm of urban transit assignment based on augmented network[J]. Science China Technological Sciences, 2009, 52(11):3158-3167.
【26】 Si B, Zhong M, Gao Z. Bilevel Programming for Evaluating Revenue Strategy of Railway Passenger Transport Under Multimodal Market Competition[J]. Transportation Research Record Journal of the Transportation Research Board, 2009, 12(2117):1-6.
【27】 Zhong M, Sharma S. Development of Improved Models for Imputing Missing Traffic Counts[J]. Open Transportation Journal, 2009, 3(1):35-48.
【28】 Bingfeng S I, Ming Z, Gao Z. Link Resistance Function of Urban Mixed Traffic Network[J]. Journal of Transportation Systems Engineering & Information Technology, 2008, 8(1):68-73.
【29】 Lingras P, Zhong M, Sharma S. Evolutionary Regression and Neural Imputations of Missing Values[J]. Studies in Fuzziness & Soft Computing, 2008, 226:151-163.
【30】 Zhong M, Hunt J D, Lu X. Studying Differences of Household Weekday and Weekend Activities: A Duration Perspective[J]. 2008, 2054(2054):28-36.
【31】 Zhong M, Satish Sharma, Pawan Lingras. Rationalizing Reliable Imputation Durations of Genetically Designed Time Delay Neural Network and Locally Weighted Regression Models[J]. Transportation Planning & Technology, 2008, 30(6):609-626.
【32】 Zhong M, Sharma S, Lingras P. LETTER Genetically-Designed Time Delay Neural Networks for Multiple-interval Urban Freeway Traffic Flow Forecasting[J]. Neural Information Processing Letters & Reviews, 2008(8):201-209.
【33】 Zhong M, Liu G. Establishing and Managing Jurisdiction-wide Traffic Monitoring Systems: North American Experiences[J]. Journal of Transportation Systems Engineering & Information Technology, 2007, 7(6):25-38.
【34】 Zhong M, Hunt J D, Abraham J E. Design and Development of a Statewide Land Use Transport Model for Alberta[J]. Journal of Transportation Systems Engineering & Information Technology, 2007, 7(7):79-89.
【35】 Zhong M, Satish Sharma, Pawan Lingras. Refining Genetically Designed Models for Improved Traffic Prediction on Rural Roads[J]. Transportation Planning & Technology, 2007, 28(3):213-236.
【36】 Zhong M, Sharma S. Matching Hourly, Daily, and Monthly Traffic Patterns to Estimate Missing Volume Data[J]. Transportation Research Record Journal of the Transportation Research Board, 2006(1).
【37】 Zhong M, Sharma S, Liu Z. Assessing Robustness of Imputation Models Based on Data from Different Jurisdictions: Examples of Alberta and Saskatchewan, Canada[J]. Plos One, 2005, 1917(1):116-126.
【38】 Zhong M, Sharma S, Lingras P. Short-Term Traffic Prediction on Different Types of Roads with Genetically Designed Regression and Time Delay Neural Network Models[J]. Journal of Computing in Civil Engineering, 2005, 19(1):94-103.
【39】 Zhong M, Sharma S, Lingras P. Genetically Designed Models for Accurate Imputation of Missing Traffic Counts[J]. Transportation Research Record Journal of the Transportation Research Board, 2004, 1879(1):71-79.
【41】 Satish Sharma, Pawan Lingras, Ming Zhong. Effect of missing values estimations on traffic parameters[J]. Transportation Planning & Technology, 2004, 27(27):119-144.
【42】 Zhong M, Sharma S. Statistically Evaluating the Imputation Accuracy of Highway Agencies[C]// Eighth International Conference on Applications of Advanced Technologies in Transportation Engineering. 2004:328-333.
【43】 Lingras P, Sharma S, Zhong M. Prediction of Recreational Travel Using Genetically Designed Regression and Time-Delay Neural Network Models[J]. Transportation Research Record, 2002, 13(1):435–446.
（2） 代表性专利
Bayesian Algorithms for Estimating AADT（美国发明专利 13523483，钟鸣）
（3） 代表性获奖
加拿大国家自然科学与工程基金委博士后奖学金（国家级）（2004 - 2005）
（4） 成果展示
1.土地交通整体规划
2.基于手机的大众出行数据收集系统
3.基于遥感图像的土地利用数据提取
4.基于遥感数据的车流信息提取
5.短时交通流预测
6.交通流参数估计
7.非集计模型
五、 主要荣誉与社会兼职
（1） 主要荣誉：
· 2010-2013年荣获湖北省“楚天学者”讲座教授，
· 2013年入选为湖北省“百人计划”教授。
（2） 主要兼职：
· 加拿大里贾纳大学 (University of Regina) 客座教授
· 加拿大土木工程师协会（Canadian Society for Civil Engineering）交通分委会主席
· 美国交通运输研究会（Transportation Research Board）会员
· 加拿大运输协会（Transportation Association of Canada）会员
· 武汉理工大学《交通信息与安全》编委
联系方式：电话:13476799558，邮箱：mzhong@whut.edu.cn
Note: 本团队诚挚欢迎对交通规划与环境方向感兴趣的博士后、博硕士研究生加入我们的团队。有意者，请通过以上电子邮件与本人联系。
