个人简历

教育背景
2012.9 - 2018.8 北京交通大学，电子信息工程学院，博士
2010.9 - 2012.6 北京交通大学，电子信息工程学院，硕士
2006.9 - 2010.6 北京交通大学，电子信息工程学院，学士
工作经历
2018.9至今，北京交通大学，电子信息工程学院，讲师
2016.5 - 2017.6 加州大学伯克利分校，访问学者

研究领域

研究方向
智能交通系统的信息与控制技术"专利
[1] 柴琳果

近期论文

论文/期刊
期刊论文
[1] Chai Linguo, Cai Baigen, Shangguan Wei, et al. Basic Simulation Environment for Highly Customized Connected and Autonomous Vehicle Kinematic Scenarios [J]. SENSORS, 2017, 17(9): 1938/1-20
[2] 柴琳果,蔡伯根,上官伟,王剑,王化深.Connected and autonomous vehicles coordinating approach at intersection based on space–time slot.Transportmetrica A: Transport Science,2018,3(14)
[3] 柴琳果, 蔡伯根, 王化深, 等. 车联网关键指标对车辆安全影响仿真测试方法[J]. 汽车工程, 2017, 11(39): 1316-1324
[4] 柴琳果, 蔡伯根, 王化深, 等. 车联网中驾驶员反应时间实时估计方法[J]. 交通运输系统工程与信息, 2016, 5(16): 71-78
[5] 柴琳果, 蔡伯根, 上官伟, 等. 联网智能车运动学仿真基础环境构建方法[J]. 华南理工大学学报(自然科学版). 2018, 46(1): 66-77
[6] 柴琳果, 蔡伯根, 上官伟, 等. 车联网干线协调控制相位差自适应优化方法[J]. 北京交通大学学报. 2018, 42(2)
[7] 柴琳果, 蔡伯根, 上官伟, 等. 基于间隙理论的智能车交叉口运行控制方法[J]. 系统仿真学报, 2018.
[8] 陈俊杰,蔡伯根,上官伟,王剑,柴琳果.双向双车道超车行为的智能车队间隙控制优化.交通运输工程学报,2019,2(19)
会议论文
[1] Chai Linguo, Cai Baigen, Shangguan Wei, et al. Connected and Autonomous Vehicles Coordinating Method at Intersection Utilizing Preassigned Slots [C]. ITSC 2017, 2017: 73-78.
[2] Chai Linguo, Cai Baigen, Shangguan Wei, et al. Simulation and testing method for evaluating the effects of position error, communication delay and penetration rate to connected vehicles safety [C]. CAC 2017, 2017: 4389-4394.
[3] Chai Linguo, Shangguan Wei, Wang Jian, et al. Test sequence generating method of Cooperative Vehicle Infrastructure System based on support index [C]. MAPE 2015, 2015: 272-276.
[4] Chai Linguo, Wang Huashen, Cai Baigen, et al Design and implementation of I-VICS traffic simulation platform [C]. Advanced Materials Research, 1030-1032: 1992-1997.
[5] Cai Baigen, Chai Linguo, Shangguan Wei, et al. Research on car following model based on cooperative vehicle infrastructure system[C]. APWC 2012, 2012: 1217-1220.
[6] 白正伟,蔡伯根,上官伟,柴琳果.Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network.Chinese Automation Congress（CAC）,2018
[7] 杜煜,上官伟,柴琳果.Particle Filter Based Object Tracking of 3D Sparse Point Clouds for Autopilot.Chinese Automation Congress (CAC),2018
专著/译著
列车运行控制系统多分辨率建模与仿真方法,2019,中国铁道出版社有限公司
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