Статті в журналах з теми "Passenger Train Delay Prediction"
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Nabian, Mohammad Amin, Negin Alemazkoor, and Hadi Meidani. "Predicting Near-Term Train Schedule Performance and Delay Using Bi-Level Random Forests." Transportation Research Record: Journal of the Transportation Research Board 2673, no. 5 (April 7, 2019): 564–73. http://dx.doi.org/10.1177/0361198119840339.
Повний текст джерелаChen, Wei, Zongping Li, Can Liu, and Yi Ai. "A Deep Learning Model with Conv-LSTM Networks for Subway Passenger Congestion Delay Prediction." Journal of Advanced Transportation 2021 (May 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/6645214.
Повний текст джерелаWang, Pu, and Qing-peng Zhang. "Train delay analysis and prediction based on big data fusion." Transportation Safety and Environment 1, no. 1 (February 4, 2019): 79–88. http://dx.doi.org/10.1093/tse/tdy001.
Повний текст джерелаYaghini, Masoud, Mohammad M. Khoshraftar, and Masoud Seyedabadi. "Railway passenger train delay prediction via neural network model." Journal of Advanced Transportation 47, no. 3 (March 3, 2012): 355–68. http://dx.doi.org/10.1002/atr.193.
Повний текст джерелаHoriguchi, Yuji, Yukino Baba, Hisashi Kashima, Masahito Suzuki, Hiroki Kayahara, and Jun Maeno. "Predicting Fuel Consumption and Flight Delays for Low-Cost Airlines." Proceedings of the AAAI Conference on Artificial Intelligence 31, no. 2 (February 11, 2017): 4686–93. http://dx.doi.org/10.1609/aaai.v31i2.19095.
Повний текст джерелаZhang, Dalin, Yi Xu, Yunjuan Peng, Yumei Zhang, Daohua Wu, Hongwei Wang, Jintao Liu, Sabah Mohammed, and Alessandro Calvi. "Prediction of Train Station Delay Based on Multiattention Graph Convolution Network." Journal of Advanced Transportation 2022 (February 21, 2022): 1–12. http://dx.doi.org/10.1155/2022/7580267.
Повний текст джерелаMcCarthy, Nicholas, Mohammad Karzand, and Freddy Lecue. "Amsterdam to Dublin Eventually Delayed? LSTM and Transfer Learning for Predicting Delays of Low Cost Airlines." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9541–46. http://dx.doi.org/10.1609/aaai.v33i01.33019541.
Повний текст джерелаGao, Bowen, Dongxiu Ou, Decun Dong, and Yusen Wu. "A Data-Driven Two-Stage Prediction Model for Train Primary-Delay Recovery Time." International Journal of Software Engineering and Knowledge Engineering 30, no. 07 (July 2020): 921–40. http://dx.doi.org/10.1142/s0218194020400124.
Повний текст джерелаYaghini, Masoud, Maryam Setayesh Sanai, and Hossein Amin Sadrabady. "Passenger Train Delay Classification." International Journal of Applied Metaheuristic Computing 4, no. 1 (January 2013): 21–31. http://dx.doi.org/10.4018/jamc.2013010102.
Повний текст джерелаWang, Bing, Peixiu Wu, Quanchao Chen, and Shaoquan Ni. "Prediction and Analysis of Train Passenger Load Factor of High-Speed Railway Based on LightGBM Algorithm." Journal of Advanced Transportation 2021 (June 15, 2021): 1–10. http://dx.doi.org/10.1155/2021/9963394.
Повний текст джерелаLalinská, Jana, Jozef Gašparík, and Denis Šipuš. "Factors Affecting the Delay of Passenger Trains." LOGI – Scientific Journal on Transport and Logistics 8, no. 1 (May 1, 2017): 74–81. http://dx.doi.org/10.1515/logi-2017-0009.
Повний текст джерелаXu, Wenkai, Peng Zhao, and Liqiao Ning. "A Passenger-Oriented Model for Train Rescheduling on an Urban Rail Transit Line considering Train Capacity Constraint." Mathematical Problems in Engineering 2017 (2017): 1–9. http://dx.doi.org/10.1155/2017/1010745.
Повний текст джерелаde Rezende Francisco, Fábio, Pedro Leite Sabino, Luiz Antônio Silveira Lopes, Paulo Afonso Lopes da Silva, and Newton José Ferro. "Determination of passenger train reliability through travel delay." Journal of Rail Transport Planning & Management 25 (March 2023): 100369. http://dx.doi.org/10.1016/j.jrtpm.2023.100369.
Повний текст джерелаWang, Yao, Dan Zheng, Shi Min Luo, Dong Ming Zhan, and Peng Nie. "The Research of Railway Passenger Flow Prediction Model Based on BP Neural Network." Advanced Materials Research 605-607 (December 2012): 2366–69. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2366.
Повний текст джерелаBarron, Alexander, Patricia C. Melo, Judith M. Cohen, and Richard J. Anderson. "Passenger -Focused Management Approach to Measurement of Train Delay Impacts." Transportation Research Record: Journal of the Transportation Research Board 2351, no. 1 (January 2013): 46–53. http://dx.doi.org/10.3141/2351-06.
Повний текст джерелаKönig, Eva, and Cornelia Schön. "Railway delay management with passenger rerouting considering train capacity constraints." European Journal of Operational Research 288, no. 2 (January 2021): 450–65. http://dx.doi.org/10.1016/j.ejor.2020.05.055.
Повний текст джерелаZhang, Y. D., L. Liao, Q. Yu, W. G. Ma, and K. H. Li. "Using the gradient boosting decision tree (GBDT) algorithm for a train delay prediction model considering the delay propagation feature." Advances in Production Engineering & Management 16, no. 3 (September 30, 2021): 285–96. http://dx.doi.org/10.14743/apem2021.3.400.
Повний текст джерелаZhen, Qu, and Shi Jing. "Train rescheduling model with train delay and passenger impatience time in urban subway network." Journal of Advanced Transportation 50, no. 8 (December 2016): 1990–2014. http://dx.doi.org/10.1002/atr.1441.
Повний текст джерелаYin, Yonghao, Dewei Li, Kai Zhao, and Ruixia Yang. "Optimum Equilibrium Passenger Flow Control Strategies with Delay Penalty Functions under Oversaturated Condition on Urban Rail Transit." Journal of Advanced Transportation 2021 (February 24, 2021): 1–27. http://dx.doi.org/10.1155/2021/3932627.
Повний текст джерелаSpanninger, Thomas, Alessio Trivella, Beda Büchel, and Francesco Corman. "A review of train delay prediction approaches." Journal of Rail Transport Planning & Management 22 (June 2022): 100312. http://dx.doi.org/10.1016/j.jrtpm.2022.100312.
Повний текст джерелаFeng, Ziyan, Chengxuan Cao, and Yutong Liu. "Train delay propagation under random interference on high-speed rail network." International Journal of Modern Physics C 30, no. 08 (August 2019): 1950059. http://dx.doi.org/10.1142/s0129183119500591.
Повний текст джерелаWang, Lili, Xuedong Yan, and Yun Wang. "Modeling and Optimization of Collaborative Passenger Control in Urban Rail Stations under Mass Passenger Flow." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/786120.
Повний текст джерелаGe, Meng, Zhang Junfeng, Wu Jinfei, Han Huiting, Shan Xinghua, and Wang Hongye. "ARIMA-FSVR Hybrid Method for High-Speed Railway Passenger Traffic Forecasting." Mathematical Problems in Engineering 2021 (May 29, 2021): 1–5. http://dx.doi.org/10.1155/2021/9961324.
Повний текст джерелаYang, Ruixia, Weiteng Zhou, Baoming Han, Dewei Li, Bin Zheng, and Fangling Wang. "Research on Coordinated Passenger Inflow Control for the Urban Rail Transit Network Based on the Station-to-Line Spatial-Temporal Relationship." Journal of Advanced Transportation 2022 (March 28, 2022): 1–13. http://dx.doi.org/10.1155/2022/8895935.
Повний текст джерелаYamashiro, Masao, Rieko Otsuka, Toru Sahara, Takeshi Kawasaki, and Sei Sakairi. "Development of passenger flow prediction model during train service disruption." Proceedings of the Transportation and Logistics Conference 2021.30 (2021): SS5–2–4. http://dx.doi.org/10.1299/jsmetld.2021.30.ss5-2-4.
Повний текст джерелаAsad, Syed Muhammad, Jawad Ahmad, Sajjad Hussain, Ahmed Zoha, Qammer Hussain Abbasi, and Muhammad Ali Imran. "Mobility Prediction-Based Optimisation and Encryption of Passenger Traffic-Flows Using Machine Learning." Sensors 20, no. 9 (May 5, 2020): 2629. http://dx.doi.org/10.3390/s20092629.
Повний текст джерелаGuo, Jianyuan, Limin Jia, Yong Qin, and Huijuan Zhou. "Cooperative Passenger Inflow Control in Urban Mass Transit Network with Constraint on Capacity of Station." Discrete Dynamics in Nature and Society 2015 (2015): 1–7. http://dx.doi.org/10.1155/2015/695948.
Повний текст джерелаXie, Chengguang, Xiaofeng Li, Bingfa Chen, Feng Lin, Yushun Lin, and Hainan Huang. "Subway Sudden Passenger Flow Prediction Method Based on Two Factors: Case Study of the Dongsishitiao Station in Beijing." Journal of Advanced Transportation 2021 (July 27, 2021): 1–8. http://dx.doi.org/10.1155/2021/5577179.
Повний текст джерелаHou, Yafei, Chao Wen, Ping Huang, Liping Fu, and Chaozhe Jiang. "Delay recovery model for high-speed trains with compressed train dwell time and running time." Railway Engineering Science 28, no. 4 (November 24, 2020): 424–34. http://dx.doi.org/10.1007/s40534-020-00225-8.
Повний текст джерелаWu, Jianqing, Bo Du, Qiang Wu, Jun Shen, Luping Zhou, Chen Cai, Yanlong Zhai, Wei Wei, and Qingguo Zhou. "A Hybrid LSTM-CPS Approach for Long-Term Prediction of Train Delays in Multivariate Time Series." Future Transportation 1, no. 3 (December 3, 2021): 765–76. http://dx.doi.org/10.3390/futuretransp1030042.
Повний текст джерелаSolikhin, Solikhin, Septia Lutfi, Purnomo Purnomo, and Hardiwinoto Hardiwinoto. "Prediction of passenger train using fuzzy time series and percentage change methods." Bulletin of Electrical Engineering and Informatics 10, no. 6 (December 1, 2021): 3007–18. http://dx.doi.org/10.11591/eei.v10i6.2822.
Повний текст джерелаWang, Hao. "A Two-Stage Train Delay Prediction Method Based on Data Smoothing and Multimodel Fusion Using Asymmetry Features in Urban Rail Systems." Wireless Communications and Mobile Computing 2022 (June 22, 2022): 1–10. http://dx.doi.org/10.1155/2022/5188105.
Повний текст джерелаSolikhin, Solikhin, Septia Lutfi, Purnomo Purnomo, and Hardiwinoto Hardiwinoto. "A machine learning approach in Python is used to forecast the number of train passengers using a fuzzy time series model." Bulletin of Electrical Engineering and Informatics 11, no. 5 (October 1, 2022): 2746–55. http://dx.doi.org/10.11591/eei.v11i5.3518.
Повний текст джерелаLi, Wen-Jun, and Xiao Feng. "Delay propagation cellular automata model based on max-plus algebra for robustness evaluations of non-periodic train operation plans." Modern Physics Letters B 34, no. 21 (May 26, 2020): 2050213. http://dx.doi.org/10.1142/s0217984920502139.
Повний текст джерелаLaifa, Hassiba, Raoudha khcherif, and Henda Hajjami Ben Ghezalaa. "Train delay prediction in Tunisian railway through LightGBM model." Procedia Computer Science 192 (2021): 981–90. http://dx.doi.org/10.1016/j.procs.2021.08.101.
Повний текст джерелаOneto, Luca, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, and Davide Anguita. "Train Delay Prediction Systems: A Big Data Analytics Perspective." Big Data Research 11 (March 2018): 54–64. http://dx.doi.org/10.1016/j.bdr.2017.05.002.
Повний текст джерелаLv, Wanjun, Yongbo Lv, Qi Ouyang, and Yuan Ren. "A Bus Passenger Flow Prediction Model Fused with Point-of-Interest Data Based on Extreme Gradient Boosting." Applied Sciences 12, no. 3 (January 18, 2022): 940. http://dx.doi.org/10.3390/app12030940.
Повний текст джерелаHan, Baoming, Weiteng Zhou, Dewei Li, and Haodong Yin. "Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints." Scientific World Journal 2015 (2015): 1–12. http://dx.doi.org/10.1155/2015/940815.
Повний текст джерелаBao, Xu, Yanqiu Li, Jianmin Li, Rui Shi, and Xin Ding. "Prediction of Train Arrival Delay Using Hybrid ELM-PSO Approach." Journal of Advanced Transportation 2021 (June 14, 2021): 1–15. http://dx.doi.org/10.1155/2021/7763126.
Повний текст джерелаCorman, Francesco. "Interactions and Equilibrium Between Rescheduling Train Traffic and Routing Passengers in Microscopic Delay Management: A Game Theoretical Study." Transportation Science 54, no. 3 (May 2020): 785–822. http://dx.doi.org/10.1287/trsc.2020.0979.
Повний текст джерелаGu, Yunyan, Jianhua Yang, Conghui Wang, Guo Xie, and Bingqing Cai. "Prediction Model of Passenger Disturbance Behavior in Flight Delay in Terminal." IOP Conference Series: Earth and Environmental Science 242 (March 30, 2019): 052044. http://dx.doi.org/10.1088/1755-1315/242/5/052044.
Повний текст джерелаJiang, Chaozhe, Ping Huang, Javad Lessan, Liping Fu, and Chao Wen. "Forecasting primary delay recovery of high-speed railway using multiple linear regression, supporting vector machine, artificial neural network, and random forest regression." Canadian Journal of Civil Engineering 46, no. 5 (May 2019): 353–63. http://dx.doi.org/10.1139/cjce-2017-0642.
Повний текст джерелаZhou, Tan, Qiang Gao, Xin Chen, and Zongwei Xun. "Flight Delay Prediction Based on Characteristics of Aviation Network." MATEC Web of Conferences 259 (2019): 02006. http://dx.doi.org/10.1051/matecconf/201925902006.
Повний текст джерелаProkhorchenko, Andrii, Dmytro Gurin, Iryna Lahuta, and Viktoriia Sunytska. "IMPROVEMENT OF THE PROCEDURE FOR SEARCHING RATIONAL TIME RESERVES FOR RECOVERY OF TRAIN MOVEMENT OF DIFFERENT CATEGORIES." Collected scientific works of Ukrainian State University of Railway Transport, no. 193 (October 5, 2021): 44–53. http://dx.doi.org/10.18664/1994-7852.193.2020.229812.
Повний текст джерелаYuan, Yuan, Chunfu Shao, Zhichao Cao, Wenxin Chen, Anteng Yin, Hao Yue, and Binglei Xie. "Urban Rail Transit Passenger Flow Forecasting Method Based on the Coupling of Artificial Fish Swarm and Improved Particle Swarm Optimization Algorithms." Sustainability 11, no. 24 (December 19, 2019): 7230. http://dx.doi.org/10.3390/su11247230.
Повний текст джерелаPullagura, Lokaiah. "Analysis of Train Delay Prediction System based on Hybrid Model." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 2900–2903. http://dx.doi.org/10.5373/jardcs/v12sp7/20202433.
Повний текст джерелаJin, Jun, Yan Hui Wang, and Man Li. "Prediction of the Metro Section Passenger Flow Based on Time-Space Characteristic." Applied Mechanics and Materials 397-400 (September 2013): 1038–44. http://dx.doi.org/10.4028/www.scientific.net/amm.397-400.1038.
Повний текст джерелаDu, Xue Dong, and Na Ren. "Railway Passenger Flow Volume Prediction Model Analysis Based on Cobb-Douglas Function." Applied Mechanics and Materials 178-181 (May 2012): 1961–64. http://dx.doi.org/10.4028/www.scientific.net/amm.178-181.1961.
Повний текст джерелаWesonga, Ronald, Fabian Nabugoomu, and Brian Masimbi. "Airline Delay Time Series Differentials." International Journal of Aviation Systems, Operations and Training 1, no. 2 (July 2014): 64–76. http://dx.doi.org/10.4018/ijasot.2014070105.
Повний текст джерелаSun, Qi, Fang Sun, Cai Liang, Chao Yu, and Yamin Zhang. "Research on digital flow control model of urban rail transit under the situation of epidemic prevention and control." Smart and Resilient Transport 3, no. 1 (February 15, 2021): 78–92. http://dx.doi.org/10.1108/srt-09-2020-0010.
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