智能交通新兴计算与感知研究课题组
Research Team for Smart Transport Emerging computing and Perception

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刘成龙
刘成龙
职称: 副研究员/博士后
研究方向: 智能交通基础设施、路面性能检测与评估、养护决策与优化等
邮箱: lcl_tongji@126.com
个人介绍

教育经历:

2010.09-2014.06 同济大学交通运输工程学院交通工程专业本科

2014.09-2019.06 同济大学交通运输工程学院交通运输工程专业博士

2017.09-2018.09 华盛顿大学土木与环境学院交通工程专业CSC访问学者


获奖情况:

1.2017年度中国公路学会科学技术一等奖

2.第五届中国研究生智慧城市技术与创意设计大赛一等奖

3.第十四届全国挑战杯大学生科技创新大赛二等奖

4.第二届创青春上海市大学生创业大赛金奖

5.第二届全国互联网+大学生创新创业大赛银奖

6.第十届挑战杯全国大学生创业计划赛铜奖

7.第十二届全国研究生数学建模竞赛二等奖

8.第二十一届上海市“科技创业杯”发明创新二等奖

9.贵阳交通事故成因分析大赛一等奖

10.CODA重庆开放数据创新大赛冠军

11.SODA上海开放数据创新大赛种子奖

12.第三届滴滴算法大赛全国十强


发表论文及专利等成果:

1. Du, Yuchuan, ChenglongLiu*, Yang Song,Yishun Li, and Yu Shen. "Rapid Estimation of RoadFriction for Anti-SkidAutonomous Driving." IEEETransactions onIntelligent Transportation Systems (2019).

2.Pu, Ziyuan, ShuoWang, Chenglong Liu, ZhiyongCui, and Yinhai Wang. "Road SurfaceFriction Prediction Using LongShort-Term Memory Neural Network Based onHistorical Data." arXiv preprint arXiv:1911.02372 (2019).

3.Jiang, Ying,Junyi Zhang, Yinhai Wang, Chenglong Liu, and ZiyuanPu. CapturingYoungPeople’s Ownership Behavior of Autonomous Vehicles Based on anComparativeAnalysis in Japan. No. 19-05888. 2019.

4.Liu,Chenglong, FuwenDeng, Ying Jiang, Ziyuan Pu, Yuchuan Du, and YinhaiWang. View Independent Vehicle ModelRecognition Using SemanticSegmentation and Image Retrieval. No.19-03448. 2019.

5.Song, Yang,Zhang Chen, ChengLong Liu, and Li-JunSun. "Ordinal Cluster Divisionof Road Section Considering MaintenanceFactor Weight." In CICTP2017:Transportation Reform and Change—Equity, Inclusiveness, Sharing, andInnovation,pp. 1224-1233. Reston, VA: American Society of Civil Engineers,2018.

6.Du, Yuchuan,Jinsong Yue, Chenglong Liu, andYuxiong Ji. "An Advanced Method toRapidly Detect Vehicle-GuardrailCollision Accident and Transmit Alarm Signalson Highway." In CICTP 2017: Transportation ReformandChange—Equity, Inclusiveness, Sharing, and Innovation, pp.4829-4839. Reston,VA: American Society of Civil Engineers, 2018.

7.Liu,ChengLong,Yu-Chuan Du, and Yang Song. "Optimal MaintenanceScheduling for Minimizingthe Network Fuel Consumption." In CICTP2017:Transportation Reform and Change—Equity, Inclusiveness, Sharing, and Innovation,pp.3094-3105. Reston, VA: American Society of Civil Engineers, 2018.

8. Du, Yuchuan, ChenglongLiu*, and YishunLi. "Velocity Control Strategies to Improve AutomatedVehicle DrivingComfort." IEEEIntelligent Transportation SystemsMagazine 10, no. 1 (2018):8-18.

9.Song, Yang,Zhang Chen, Chenglong Liu, andLijun Sun. Highway PricinginRoad Network Considering Maintenance Cost. No. 18-01967. 2018.

10.Liu, Chenglong,Sha Tao, Yuxiong Ji, Yuchuan Du, Tienan Li, and WeiWang. Optimal allocation of electronic tollcollection and manual tollcollection gates in highway networks. No.18-04952. 2018.

11.Du, Yuchuan,Chenwei Wang, ChenglongLiu, and Yuxiong Ji. ParkingManagementUnder Spatial Mismatch Between Supply and Demand. No.17-03831. 2017.

12.Du, Yuchuan, ChenglongLiu*,Difei Wu, and Siyu Li. "Application of vehicle mountedaccelerometers tomeasure pavement roughness." InternationalJournalof Distributed Sensor Networks 12, no. 6 (2016): 8413146.

13.Du, Yuchuan, ChenglongLiu*,Xi Zhang, and Lijun Sun. "Rapid accelerometer measurements ofvehicle bumpsat bridge approaches." Transportationresearchrecord 2528, no. 1 (2015): 1-8.

14. Du,Yuchuan, ChenglongLiu*,Difei Wu, and Shengchuan Jiang. "Measurement of internationalroughnessindex by using-axis accelerometers and GPS." MathematicalProblems in Engineering 2014(2014).

15.杜豫川, 刘成龙*, 吴荻非, 蒋盛川."基于车载多传感器的路面平整度检测方法." 中国公路学报 28, no. 6 (2015): 1-5.

16.杜豫川, 张晓明, 刘成龙, 刘翔. "基于红外图像和普通图像对比的高速公路可视度分析." 交通运输系统工程与信息 16, no. 4(2016): 73-78.

17. 授权发明专利:一种基于重力加速度传感器的路面平整度检测方法,专利号:ZL201310150517.4

18. 授权发明专利:一种基于车载加速度计的路面平整度快速检测系统,专利号:ZL201510166626.4

19. 授权发明专利:一种基于车载重力加速度传感器的桥头跳车检测评价方法,专利号:ZL201510154084.9

20. 公开发明专利:一种路侧事故监测和报警系统,CN201610135633.2

21. 公开发明专利:一种考虑降雨量的沥青路面结冰预警系统及方法,CN201610176773.4

22. 公开发明专利:一种基于图像处理的可视距离检测方法,申请号:CN201610185869.7


爱好或其他特长:

  排球、游泳


研究成果:

龙兄的研究成果.png

研究生期间主要进行路面行驶质量快速检测技术研发,建立了通过车载加速度检测反演路面平整度等参数的动力学模型和时频分析方法,有效解决了传统路面质量检测耗时费力、价格昂贵等问题,检测误差保持在±10%以内,检测效率可达每日300公里,设备价格降低激光检测车的30%以下。研究方法论文获引20余次,开拓了路面平顺性质量检测的新手段。


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