爱华网中国交通运输协会青年科技工作者委员会委员
甘肃省智慧城市建设与管理专家
电子邮件：machangxi@mail.lzjtu.cn or mcx9815@163.com
通讯地址：兰州交通大学交通运输学院405号信箱 730070
联系电话：13109429716
qq 号码 ： 147779014
马昌喜教育经历
马昌喜工作经历
马昌喜研究方向
马昌喜主持或参与的项目
马昌喜出版的英文专著
Changxi Ma, Optimization of Emergency Transportation and LogisticsSystem, Southwest Jiaotong University Press,2014/01.
马昌喜撰写的教材
[1] 交通影响评价，机械工业出版社, 2014/05，主编
[2] 城市轨道交通运输设备，人民交通出版社，2012/12，副主编
[3] 铁路危险货物运输安全技术与管理，中国铁道出版社，2012/9，参编
马昌喜撰写的论文
2014年马昌喜已发表的期刊论文
[1] Ma Changxi, Ma Cunrui, Ye Qing, He Ruichun, Song Jieyan. Animproved genetic algorithm for the large-scale rural highwaynetwork layout, Mathematical Problems in Engineering, vol. 2014,Article ID 267851, 2014.doi:10.1155/2014/267851(SCI期刊)
[2]ZhuChengming, Chen Yanyan, Ma Changxi. The theory of dynamic publictransit priority with dynamic stochastic park and ride.Mathematical Problems in Engineering, vol. 2014, Article ID 525460,2014. doi:10.1155/2014/525460(SCI期刊)
[3]麻存瑞,马昌喜(通信作者).不确定环境下危险品运输路径鲁棒模型与算法.中国安全科学学报,2014.(CSCD核心库期刊)
[4]麻存瑞,马昌喜(通信作者).不确定旅行商问题的鲁棒模型与算法.投计算机应用,2014.(CSCD核心库期刊)
[5]安新磊,李引珍,马昌喜.一种新的多重边复杂公交网络模型.交通运输系统工程与信息,2014.(EI期刊)
[6]安新磊,俞建宁,李引珍,张建刚,马昌喜.混合时滞四重边复杂网络的自适应同步及在常规公交调度中的应用.武汉理工大学学报(交通科学与工程版),2014.[7]肖强,何瑞春,张薇,马昌喜.基于模糊聚类和识别的出租车合乘算法研究,交通运输系统工程与信息,2014(EI期刊)
2005年——2013年马昌喜已发表的期刊论文
[1] Ma Changxi, Li Yinzhen, He Ruichun, Wu Fang, Qi Bo, Ye Qing.Route optimization models and algorithms for hazardous materialstransportation under differentenvironments,2013,5(4):252-265(SCI检索)
[2] Ma Changxi, Li Yinzhen, He Ruichun, Qi Bo, Wu Fang, Sun Li andDiao Aixia. signal control system based on wireless sensor network,2012,10(8):1823-1829 (SCI和EI双检索)
[3] Qian Y, Si P, Zeng Q, Ma C.X.,et al. Study on the Influence ofTransit Parking Time on Traffic Flow Based on Cellular AutomataTheory. Chinese Physics B.2010(SCI检索)
[4] Qian Y, Si P, Zeng Q, Ma C.X.,et al. Analysis of the influenceof occupation rate of public transit vehicles on mixing trafficflow in two-lane system,Chinese PhysicsB,2009,18(9):4037-4041(SCI检索)
[5] Ma Changxi , Li Yinzhen, He Ruichun, Qi Bo, Wu Fang, Diao Aixiaand Ma Cunrui. Latent ringlike road traffic control system based oncompound mechanism particle swarm optimization algorithm,International Journal of Modelling, Identification and Control,2013,18(1):47-53.(EI检索)
[6] He Ruichun,Ma Changxi,Li Yinzhen. Study on the hazardousmaterials vehicle scheduling route based on uncertain operator.2013,6(4) :407-411. (EI检索)
[7] He Ruichun,Ma Changxi,Li Yinzhen. Study on multi-objectivetraveling salesman problem for hazardous materials transportationbased on improved genetic algorithm, 2013,4(2):131-139(EI检索)
[8] Ma Changxi, Li Yinzhen, He Ruichun, Wu Fang, Sun li and Qi Bo.Multi-objective fuzzy optimization method for emergency evacuationbased on hybrid intelligence algorithm under fuzzy environment,2013,46(3):228-235.(EI检索）
[9] Ma Changxi , Li Yinzhen, He Ruichun, Qi Bo, Diao Aixia. Studyon the decision-making method of transportation route for hazardousmaterials under the hybrid language environment,2013, 6(3):215–220.(EI检索)
[10] Ma Changxi, Wu Fang, Qi Bo, Gong Liang, Wang Li, AnXinlei.Study on urban three-lane mixed traffic flow with busesbased on the Nagel-Schreckenberg model,2013, 6(6):615–620.(EI检索)
[11] Zhu Chengming, Chen Yanyan, Ma Changxi. Travel mode structureoptimisation based on behaviour change, International Journal ofWireless and Mobile Computing,2013,6(3):305-311.(EI检索)
[12] Ma Changxi, Li Yinzhen, He Ruichun, Chen Zhizhong, Qi Bo andDiao Aixia. A new chaos particle swarm optimisation algorithm andits applications for transportation continuous network designproblem [J]. International Journal of Computational Science andEngineering.2012, 7( 2):100–107. (EI检索)
[13] Ma Changxi, Li Yinzhen, He Ruichun, Qi Bo and Diao Aixia.Research on location problem of emergency service facilities basedon genetic-simulated annealing algorithm[J].2012,5(2):206-211.(EI检索)
[14] Ma Changxi, Li Yinzhen, He Ruichun, Duan Gang, Diao Aixia. Newoptimization model and fuzzy adaptive weighted genetic algorithmfor hazardous material transportation[J]. 2012,3(4):341-352.(EI检索)
[15] Ma Changxi, Guo Yixin, Qi Bo. Transportation routedecision-making of hazardous material based on N-shortest pathalgorithm and entropy model.2011, 236(6):282-289.(EI检索)
[16] Ma Changxi, Qi Bo, Diao Aixia The application of improved antcolony algorithm for emergency logistics vehicle routing problem[J]. 2011,3(10):307-314. (EI检索)
[17] Ma Changxi,Chen Zhizhong. An improved cusp catastrophicparticle swarm optimization algorithm and its application forexpressway ramp fuzzycontrol[J].2011,8(14):3249-3256.(EI检索)
[18] 马昌喜,李引珍,何瑞春.不确定语言环境下危险品公路运输路径决策模型[J].武汉理工大学学报(交通科学与工程版),2010,34(5):916-919.
[19]马昌喜,张正科,张军平.公路交通可持续发展动态评估实证研究[J].兰州交通大学学报，2011,28(3):59-62.
[20]马昌喜,等.发达运输网络环境下危险品公路运输路径多目标决策方法研究[J].交通运输系统工程与信息,2009,9(3):143-148.
[21]马昌喜.不发达路网环境下基于神经网络理论的危险品公路运输路径多属性决策[J].现代交通技术，2009,6(1):84-86.
[22]马昌喜,文娟娟.确定环境下危险品公路运输路径多属性决策[J].兰州交通大学学报.2009,28(3):115-118.
[23] 马昌喜,文娟娟,李创红,李晓莉.大城市居民出行方式决策方法研究[J].交通运输工程与信息学报.2009,7(2):33-38.
[24] 马昌喜,郭坤卿,马永红.基于改进的灰色-马尔可夫链方法的公路货运量预测[J].兰州交通大学学报.2009,28(4):124-127.
[25] 马昌喜,等.长公路隧道交通安全研究[J].灾害学,2008,23(1):82-87.（CSCD）
[26]马昌喜,马永红.公交车辆合理配置的模糊随机机会约束规划模型[J].交通运输工程与信息学报.2008,6(1):97-100.
[27]马昌喜,等..甘肃省高速公路网合理规模预测模型[J].兰州交通大学学报.2008,27(3):78-80.
[28]马昌喜,等..基于双向并行灾变粒子群优化算法的环路交通协调控制系统[J].计算机应用,2007,27(11):2640-2642.
[29] 马昌喜.高速公路交通安全对策研究[J].中国公共安全,2007,(2):58-60
[30]马昌喜.高速公路交通事故预警系统模糊综合评价[J].中国公共安全,2006,(1):90-94.
2007——2011年发表的会议论文
[1] Ma Changxi, Diao Aixia, Chen Zhizhong. Study on bi-levelprogramming model of highway traffic network based on thesustainable development theory [P]. The Seventh Advanced Forum onTransportation of China（第七届中国交通高峰论坛--北京交通大学交通运输学院主办）, 2011,9:53-57(EI)
[2] Ma Changxi, Diao Aixia, Chen Zhizhong, Qi Bo. Study on thehazardous blocking synthetic value and the optimization route ofhazardous material transportation network based on A-star algorithm[P]. 2011 Seventh International Conference on Natural Computation,2011, 8, 2336-2339. (EI/ISTP)
[3] Ma Changxi,Chen Zhizhong. Study on the resultant impedancemodel and its application for hazardous material transportation[P]. International Conference onTransportation Planning,Construction and Operation Organization, 2011,97,494-497.(EI)
[4] Ma Changxi. Study on Urban Loop-road Traffic CoordinationControl System based on Spit-layer Parallel Cusp CatastropheParticle Swarm Optimization Algorithm[P], 2010 2nd InternationalAsia Conference on Informatics in Control, Automation and Robotics(CAR 2010) ,IEEE CAR 2010,529-532,(EI)
[5] MA Changxi, WEN Juanjuan. Study on two-land transit flowcellular automaton model and switching phenomena under the periodicboundary condition [P] Proceeding of Second InternationalConference of Modeling and Simulation. Manchester, England, UK,May. 21-22, 2009. (EI/ISTP)
[6] MA Changxi. Research on the planning method and its applicationfor the megalopolis public parking area based on neural network andgenetic algorithm [P]. Proceeding of First International Conferenceof Modeling and Simulation. Nanjing 2008.(ISTP)
[7] MA Changxi, WU Fang. Decision-making method of hazardousmaterial transportation route based on particle swarm optimizationalgorithm and neural network [J]. IEEE PACIIA 2008, Wuhan.(EI/ISTP)
[8] MA Changxi. Research on optimal route of road transport ofnetwork with restrictiveconditions[P].第一届交通运输工程国际学术会议---西南交通大学交通运输学院主办(ICTE’2007)(EI).
[9] MA Changxi. Study on development strategy of rail transit ofinnovationcountry[J].第七届世界华人交通运输学术大会--同济大学交通运输工程学院主办(icctp’2007).
[10] WU Fang, MA Changxi, LU Rong. A stochastic constrainedprogramming approach for vendor selection problem. IEEE PACIIA2008,Wuhan. (EI/ISTP)
[11] 马昌喜.新城区道路类型与规模控制研究[J].EASTS’2007(第七届亚洲交通运输学会国际学术会议--大连海事大学、大连交通大学主办).
获奖情况
[1]2004年获兰州市科技进步二等奖，排名第五；
[2]2008年获甘肃省建设科技进步二等奖，排名第六；
[3]2008年获甘肃省高校科技进步三等奖，排名第四；
[4]2009年甘肃省建设科技进步二等奖，排名第二；
[5]2009年甘肃省建设科技进步一等奖，排名第三；
[6]2009年获甘肃省建设科技进步一等奖，排名第四；
[7] 2009年获兰州交通大学青年教师讲课竞赛一等奖；
[8] 2009年获兰州交通大学青年教师教学奖。
[9] 2010 年获兰州市科技进步一等奖，排名第四；
[10]2010 年获甘肃省高校科技进步二等奖，排名第三；
[11]2011 年获甘肃省建设进步二等奖，排名第二；
[12]2011 年获甘肃省教学成果奖，排名第五；
[13] 2012年获甘肃省教学成果奖，排名第四；
[14] 2013 年获甘肃省建设科技进步二等奖，排名第一；
[15] 2013 年获甘肃省科技情报学会科学技术奖二等奖，排名第一。
马昌喜指导的硕士研究生
