| Citation: | MA Xiaolei, YAO Liliang, SHEN Xuanliangan. Drivers' Travel Pattern Mining Based on OBD Data[J]. Journal of Transport Information and Safety, 2021, 39(2): 70-77. doi: 10.3963/j.jssn.1674-4861.2021.02.009
|
| [1] |
BHAT C. An analysis of evening commute stop-making behavior using repeated choice observations from a multi-day survey[J]. Transportation Research Part B: Methodological, 1999, 33(7): 495-510. doi: 10.1016/S0191-2615(99)00003-X
|
| [2] |
BOWMAN J L, BEN-AKIVA M E. Activity-based disaggregate travel demand model system with activity schedules[J]. Transportation Research Part A: Policy & Practice, 2001, 35(1): 1-28. http://www.sciencedirect.com/science/article/pii/S0965856499000439
|
| [3] |
柴彦威, 刘志林, 李峥嵘, 等. 中国城市的时空间结构[M]. 北京: 北京大学出版社, 2002.
CHAI Yanwei, LIU Zhilin, LI Zhengrong, et al. The time-space structure of Chinese cities[M]. Beijing: Peking University Press, 2002. (in Chinese)
|
| [4] |
陆化普, 孙智源, 屈闻聪. 大数据及其在城市智能交通系统中的应用综述[J]. 交通运输系统工程与信息, 2015, 15(5): 45-52. doi: 10.3969/j.issn.1009-6744.2015.05.007
LU Huapu, SUN Zhiyuan, QU Wencong. Big data and its applications in urban intelligent transportation system[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(5): 45-52. (in Chinese) doi: 10.3969/j.issn.1009-6744.2015.05.007
|
| [5] |
聂霖杰. 基于移动数据的出行模式识别方法研究[D]. 长春: 吉林大学, 2020.
NIE Linjie. Research on travel pattern recognition method based on mobile data[D]. Changchun: Jilin University, 2020. (in Chinese)
|
| [6] |
刘晓波, 蒋阳升, 唐优华, 等. 综合交通大数据应用技术的发展展望[J]. 大数据, 2019, 5(3): 55-68. https://www.cnki.com.cn/Article/CJFDTOTAL-DSJU201903006.htm
LIU Xiaobo, JIANG Yangsheng, TANG Youhua, et al. Development prospect of integrated transportation big data application technology[J]. Big Data Research, 2019, 5(3): 55-68. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-DSJU201903006.htm
|
| [7] |
周素红, 杨利军. 广州城市居民通勤空间特征研究[J]. 城市交通, 2005, 3(1): 62-67. doi: 10.3969/j.issn.1672-5328.2005.01.015
ZHOU Suhong, YANG Lijun. Study on spatial characteristic of commuting in Guangzhou[J]. Urban Transport of China, 2005, 3 (1): 62-67. (in Chinese) doi: 10.3969/j.issn.1672-5328.2005.01.015
|
| [8] |
何山, 朱健梅. 基于BP神经网络的个体出行模式识别研究[J]. 公路工程, 2014(5): 304-306. doi: 10.3969/j.issn.1674-0610.2014.05.067
HE Shan, ZHU Jianmei. Research on individual travel mode detection by BP neural network[J]. Highway Engineering, 2014 (5): 304-306. (in Chinese) doi: 10.3969/j.issn.1674-0610.2014.05.067
|
| [9] |
MA X, WANG Y, MCCORMACK E, et al. Understanding freight trip-chaining behavior using a spatial data-mining approach with GPS data[J]. Transportation Research Record Journal of the Transportation Research Board, 2016(2596): 44-54. http://www.researchgate.net/publication/306074834_Understanding_Freight_Trip-Chaining_Behavior_Using_a_Spatial_Data-Mining_Approach_with_GPS_Data
|
| [10] |
马聪. 基于OBD技术的驾驶行为习惯评价方法研究[D]. 南京: 南京大学, 2016.
MA Cong. Study on the evaluation method of driving behavior habits based on OBD technology[D]. Nanjing: Nanjing University, 2016. (in Chinese)
|
| [11] |
何亚楠. 基于马尔科夫模型的出行目的地预测[D]. 长春: 吉林大学, 2017.
HE Yanan. Predicting trip destination with Markov model[D]. Changchun: Jilin University, 2017. (in Chinese)
|
| [12] |
卢笙. 基于车载诊断系统的轻型乘用车油耗影响因素量化分析[D]. 北京: 清华大学, 2018.
LU Sheng. Quantitative analysis of factors affecting fuel consumption of Light-duty passenger vehicles based on On-board diagnostic approach[D]. Beijing: Tsinghua University, 2018. (in Chinese)
|
| [13] |
张芷毓, 鹿应荣, 马晓磊, 等. 基于OBD数据的危险驾驶行为与建成环境空间关联研究[J]. 交通信息与安全, 2017, 35 (1): 35-43. http://www.jtxa.net/tiasn/paper/editpaper.do?flag=abstract&PAPERID=2016-00307
ZHANG Ziyu, LU Yingrong, MA Xiaolei, et al. A study on the association between risky driving behavior and built environment using OBD data[J]. Journal of Transport Information and Safety, 2017, 35(1): 35-43. (in Chinese) http://www.jtxa.net/tiasn/paper/editpaper.do?flag=abstract&PAPERID=2016-00307
|
| [14] |
KUMAR S, PAEFGEN J, WILHELM E, et al. Integrating on-board diagnostics speed data with sparse GPS measurements for vehicle trajectory estimation[C]. The SICE Annual Conference, Nagoya, Japan: IEEE, 2013.
|
| [15] |
萧超武. 基于HMM的驾驶模式识别方法研究及应用[D]. 广州: 华南理工大学, 2015.
XIAO Chaowu. Research and application of driving pattern recognition based on Hidden Markov model[D]. Guangzhou: South China University of Technology, 2015. (in Chinese)
|
| [16] |
郭继孚, 孙建平, 温慧敏, 等. 基于车载OBD数据的小汽车出行特征分析: 以北京市为例[J]. 城市交通, 2017, 15(5): 70-77. https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT201705014.htm
GUO Jifu, SUN Jianping, WEN Huimin, et al. Characteristics of travel by car based on OBD data: A case study in Beijing[J]. Urban Transport of China, 2017, 15(5): 70-77. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CSJT201705014.htm
|
| [17] |
张梦歌, 蔡晓禹, 杜蕊. 驾驶行为数据驱动的城市道路交通安全风险辨识方法探讨[J]. 交通与运输, 2020, 36(2): 30-34. doi: 10.3969/j.issn.1671-3400.2020.02.008
ZHANG Mengge, CAI Xiaoyu, DU Rui. Exploration of urban road safety risk identification method driven by driving behavior data[J]. Traffic & Transportation, 2020, 36(2): 30-34. (in Chinese) doi: 10.3969/j.issn.1671-3400.2020.02.008
|
| [18] |
RODRIGUEZ A, LAIO A. Clustering by fast search and find of density peaks[J]. Science, 2014, 344(6191): 1492-1496. doi: 10.1126/science.1242072
|
| [19] |
张迎亚. 基于隐马尔可夫模型的车辆轨迹预测算法的研究[D]. 南京: 南京邮电大学, 2017.
ZHANG Yingya. Research on the algorithm of vehicle trajectory prediction based on HMM[D]. Nanjing: Nanjing University of Posts and Telecommunications, 2017. (in Chinese)
|
| [20] |
肖献强, 任春燕, 王其东. 基于隐马尔可夫模型的驾驶行为预测方法研究[J]. 中国机械工程, 2013, 24(21): 2972-2976. doi: 10.3969/j.issn.1004-132X.2013.21.025
XIAO Xianqiang, REN Chunyan, WANG Qidong. Research on driving behavior prediction method based on HMM[J]. Chinese Journal of Mechanical Engineering, 2013, 24(21): 2972-2976. (in Chinese) doi: 10.3969/j.issn.1004-132X.2013.21.025
|
Figures(6) / Tables(4)
DownLoad:
