交通工程、土木工程 |
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基于LSTM神经网络改进的路阻函数模型 |
王飞( ),徐维祥*( ) |
北京交通大学 交通运输学院,北京 100044 |
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Improved model of road impedance function based on LSTM neural network |
Fei WANG( ),Wei-xiang XU*( ) |
School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China |
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ZHAO Z, CHEN W, WU X LSTM network: a deep learning approach for short-term traffic forecast[J]. IET Intelligent Transport Systems, 2017, 11 (2): 68- 75
doi: 10.1049/iet-its.2016.0208
|
2 |
DUAN Y J, LV Y S, WANG F Y. Travel time prediction with LSTM neural network[C]// 2016 IEEE 19th International Conference on Intelligent Transportation Systems. Brazil: IEEE, 2016: 1053-1058.
|
3 |
SIRIPANPORNCHANA C, PANICHPAPIBOON S, CHAOVALIT P. Travel-time prediction with deep learning[C]// Region 10 Conference. Singapore: IEEE, 2017: 1859-1862.
|
4 |
LI Y F, CHEN M N, ZHAO W Z Investigating long-term vehicle speed prediction based on BP-LSTM algorithms[J]. IET Intelligent Transport Systems, 2019, 13 (8): 1281- 1290
doi: 10.1049/iet-its.2018.5593
|
5 |
MA Y, ZHANG Z, IHLER A, et al Multi-lane short-term traffic forecasting with convolutional LSTM network[J]. IEEE Access, 2020, 2020 (8): 34629- 34643
|
6 |
XU W X, ZHAO J M. Research on traffic flow time series model and shortest path algorithm of urban traffic based on travel plans[C]// 2019 International Conference on Intelligent Computing, Automation and Systems. Chongqing: IEEE, 2019: 369-373.
|
7 |
徐维祥, 李娇娇. 一种基于出行计划预测未来交通拥堵状况方法及其系统: CN108320508A [P]. 2018-07-24.
|
8 |
DAVIDSON K B The theoretical basis of a flow-travel time relationship for use in transportation planning[J]. Australian Road Research, 1978, 8 (1): 32- 35
|
9 |
SPIESS H Conical volume-delay functions[J]. Transportation Science, 1990, 24 (2): 153- 158
doi: 10.1287/trsc.24.2.153
|
10 |
傅白白, 刘法胜, 冯恩民 交通网络费用函数的标定与分析[J]. 交通运输系统工程与信息, 2003, 3 (4): 53- 57 FU Bai-bai, LIU Fa-sheng, FENG En-min Traffic network costs analysis and validation[J]. Journal of Transportation Systems Engineering and Information Technology, 2003, 3 (4): 53- 57
doi: 10.3969/j.issn.1009-6744.2003.04.010
|
11 |
王树盛, 黄卫, 陆振波 路阻函数关系式推导及其拟合分析研究[J]. 公路交通科技, 2006, 23 (4): 107- 110 WANG Shu-sheng, HUANG Wei, LU Zhen-bo Deduction of link performance function and its regression analysis[J]. Journal of Highway and Transportation Research and Development, 2006, 23 (4): 107- 110
doi: 10.3969/j.issn.1002-0268.2006.04.026
|
12 |
四兵锋, 钟鸣, 高自友 城市混合交通条件下路段阻抗函数的研究[J]. 交通运输系统工程与信息, 2008, 2 (1): 68- 73 SI Bing-feng, ZHONG Ming, GAO Zi-you A link resistance function of urban mixed traffic network[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 2 (1): 68- 73
doi: 10.3969/j.issn.1009-6744.2008.01.011
|
13 |
王素欣, 王雷震, 高利, 等 BPR路阻函数的改进研究[J]. 武汉理工大学学报: 交通科学与工程版, 2009, 33 (3): 446- 449 WANG Su-xin, WANG Lei-zhen, GAO Li, et al Improvement study on BPR link performance function[J]. Journal of Wuhan University of Technology: Transportation Science and Engineering, 2009, 33 (3): 446- 449
doi: 10.3963/j.issn.1006-2823.2009.03.011
|
14 |
刘宁, 赵胜川, 何南 基于BPR函数的路阻函数研究[J]. 武汉理工大学学报: 交通科学与工程版, 2013, 37 (3): 545- 548 LIU Ning, ZHAO Sheng-chuan, HE Nan Further study of impedance function based on BPR function[J]. Journal of Wuhan University of Technology: Transportation Science and Engineering, 2013, 37 (3): 545- 548
doi: 10.3963/j.issn.2095-3844.2013.03.023
|
15 |
李昂, 李硕, 李玲 城市道路路段行程时间计算模型研究[J]. 公路工程, 2016, 41 (3): 193- 197 LI Ang, LI Shuo, LI Ling Research on the calculation models of vehicle travel time on urban road segments[J]. Highway Engineering, 2016, 41 (3): 193- 197
doi: 10.3969/j.issn.1674-0610.2016.03.040
|
16 |
潘义勇, 余婷, 马健霄 基于路段与节点的城市道路阻抗函数改进[J]. 重庆交通大学学报: 自然科学版, 2017, 36 (8): 76- 81 PAN Yi-yong, YU Ting, MA Jian-xiao Improvement of urban road impedance function based on section impedance and node impedance[J]. Journal of Chongqing Jiaotong University: Natural Science, 2017, 36 (8): 76- 81
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17 |
李彦瑾, 罗霞 基于模糊神经网络的混合交通流路阻测算模型[J]. 吉林大学学报: 工学版, 2019, 49 (1): 53- 59 LI Yan-jin, LUO Xia Calculation model of road resistance in mixed traffic flow based on fuzzy neural network[J]. Journal of Jilin University: Engineering and Technology Edition, 2019, 49 (1): 53- 59
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