A hybrid Bayesian network model for predicting delays in train operations J Lessan, L Fu, C Wen Computers & Industrial Engineering 127, 1214-1222, 2019 | 115 | 2019 |
Train dispatching management with data-driven approaches: A comprehensive review and appraisal C Wen, P Huang, Z Li, J Lessan, L Fu, C Jiang, X Xu IEEE Access 7, 114547-114571, 2019 | 81 | 2019 |
Modeling train operation as sequences: A study of delay prediction with operation and weather data P Huang, C Wen, L Fu, J Lessan, C Jiang, Q Peng, X Xu Transportation research part E: logistics and transportation review 141, 102022, 2020 | 80 | 2020 |
Statistical investigation on train primary delay based on real records: evidence from Wuhan–Guangzhou HSR C Wen, Z Li, J Lessan, L Fu, P Huang, C Jiang International Journal of Rail Transportation 5 (3), 170-189, 2017 | 76 | 2017 |
A Bayesian network model to predict the effects of interruptions on train operations P Huang, J Lessan, C Wen, Q Peng, L Fu, L Li, X Xu Transportation Research Part C: Emerging Technologies 114, 338-358, 2020 | 56 | 2020 |
Credit-and permit-based travel demand management state-of-the-art methodological advances J Lessan, L Fu Transportmetrica A: Transport Science 18 (1), 5-28, 2022 | 43 | 2022 |
Forecasting primary delay recovery of high-speed railway using multiple linear regression, supporting vector machine, artificial neural network, and random forest regression C Jiang, P Huang, J Lessan, L Fu, C Wen Canadian Journal of Civil Engineering 46 (5), 353-363, 2019 | 42 | 2019 |
Modeling train timetables as images: A cost-sensitive deep learning framework for delay propagation pattern recognition P Huang, Z Li, C Wen, J Lessan, F Corman, L Fu Expert Systems with Applications 177, 114996, 2021 | 41 | 2021 |
Stochastic model of train running time and arrival delay: A case study of Wuhan–Guangzhou high-speed rail J Lessan, L Fu, C Wen, P Huang, C Jiang Transportation Research Record 2672 (10), 215-223, 2018 | 35 | 2018 |
Waste disposal site selection using an analytic hierarchal pairwise comparison and ELECTRE approaches under fuzzy environment K Ghoseiri, J Lessan Journal of Intelligent & Fuzzy Systems 26 (2), 693-704, 2014 | 32 | 2014 |
Location selection for logistic centres using a two-step fuzzy AHP and ELECTE method K Ghoseiri, J Lessan Proceedings of the 9th Asia Pasific Industrial Engineering & Management …, 2008 | 26 | 2008 |
Data-driven models for predicting delay recovery in high-speed rail C Wen, J Lessan, L Fu, P Huang, C Jiang 2017 4th International Conference on Transportation Information and Safety …, 2017 | 25 | 2017 |
Joint optimization of delay-recovery and energy-saving in a metro system: A case study from China W Li, Q Peng, C Wen, P Wang, J Lessan, X Xu Energy 202, 117699, 2020 | 19 | 2020 |
A data-driven time supplements allocation model for train operations on high-speed railways P Huang, C Wen, Q Peng, J Lessan, L Fu, C Jiang International Journal of Rail Transportation 7 (2), 140-157, 2019 | 18 | 2019 |
Cause-specific investigation of primary delays of Wuhan–Guangzhou HSR C Wen, Z Li, P Huang, J Lessan, L Fu, C Jiang Transportation Letters 12 (7), 451-464, 2020 | 16 | 2020 |
Towards user-centric, market-driven mobility management of road traffic using permit-based schemes J Lessan, L Fu, C Bachmann Transportation Research Part E: Logistics and Transportation Review 141, 102023, 2020 | 11 | 2020 |
An efficient hybrid metaheuristic for capacitated p-median problem M Yaghini, J Lessan, MH GHOLAMI INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING AND PRODUCTION RESEARCH …, 2010 | 10 | 2010 |
Planning evacuation orders under evacuee compliance uncertainty J Lessan, AM Kim Safety science 156, 105894, 2022 | 9 | 2022 |
A preference-based, multi-unit auction for pricing and capacity allocation J Lessan, S Karabatı Computers & Operations Research 91, 237-246, 2018 | 9 | 2018 |
Joint operating revenue and passenger travel cost optimization in urban rail transit W Li, Q Peng, Q Li, C Wen, Y Zhang, J Lessan Journal of Advanced Transportation 2018 (1), 7805168, 2018 | 8 | 2018 |