| The concept and impact analysis of a flexible mobility on demand system B Atasoy, T Ikeda, X Song, ME Ben-Akiva Transportation Research Part C: Emerging Technologies 56, 373-392, 2015 | 183 | 2015 |
| Daily traffic flow forecasting through a contextual convolutional recurrent neural network modeling inter-and intra-day traffic patterns D Ma, X Song, P Li IEEE Transactions on Intelligent Transportation Systems 22 (5), 2627-2636, 2020 | 135 | 2020 |
| Online discrete choice models: Applications in personalized recommendations M Danaf, F Becker, X Song, B Atasoy, M Ben-Akiva Decision Support Systems 119, 35-45, 2019 | 64 | 2019 |
| A back-pressure-based model with fixed phase sequences for traffic signal optimization under oversaturated networks D Ma, J Xiao, X Song, X Ma, S Jin IEEE Transactions on Intelligent Transportation Systems 22 (9), 5577-5588, 2020 | 44 | 2020 |
| Bayesian estimator for logit mixtures with inter-and intra-consumer heterogeneity F Becker, M Danaf, X Song, B Atasoy, M Ben-Akiva Transportation Research Part B: Methodological 117, 1-17, 2018 | 36 | 2018 |
| A Match‐Then‐Predict Method for Daily Traffic Flow Forecasting Based on Group Method of Data Handling X Song, W Li, D Ma, D Wang, L Qu, Y Wang Computer‐Aided Civil and Infrastructure Engineering, 2018 | 35 | 2018 |
| Investigating Pedestrian Navigation in Indoor Open Space Environments Using Big Data L Ruggiero, D Charitha, S Xiang, B Lucia Applied Mathematical Modelling, 2018 | 34 | 2018 |
| Investigating personalized exit choice behavior in fire accidents using the hierarchical Bayes estimator of the random coefficient logit model XB Song, R Lovreglio Analytic methods in accident research 29, 100140, 2021 | 30 | 2021 |
| Input data selection for daily traffic flow forecasting through contextual mining and intra-day pattern recognition D Ma, XB Song, J Zhu, W Ma Expert Systems with Applications 176, 114902, 2021 | 29 | 2021 |
| Personalized menu optimization with preference updater: a Boston case study X Song, M Danaf, B Atasoy, M Ben-Akiva Transportation Research Record 2672 (8), 599-607, 2018 | 29 | 2018 |
| A deep reinforcement learning approach to traffic signal control with temporal traffic pattern mining D Ma, B Zhou, X Song, H Dai IEEE Transactions on Intelligent Transportation Systems 23 (8), 11789-11800, 2021 | 25 | 2021 |
| An enhanced clustering-based method for determining time-of-day breakpoints through process optimization X Song, W Li, D Ma, Y Wu, D Ji IEEE Access 6, 29241-29253, 2018 | 17 | 2018 |
| Towards microscopic calibration of pedestrian simulation models using open trajectory datasets: The case study of the Edinburgh Informatics Forum R Lovreglio, C Dias, X Song, L Ballerini Traffic and Granular Flow'17 12, 215-223, 2019 | 14 | 2019 |
| Time‐of‐day breakpoints optimisation through recursive time series partitioning D Ma, W Li, X Song, Y Wang, W Zhang IET Intelligent Transport Systems 13 (4), 683-692, 2019 | 13 | 2019 |
| Traffic flow and speed forecasting through a Bayesian deep multi-linear relationship network D Ma, J Zhu, XB Song, X Wang Expert Systems with Applications 213, 119161, 2023 | 8 | 2023 |
| Analytical model of passing events for one-way heterogeneous bicycle traffic flows L Xu, M Liu, X Song, S Jin Transportation research record 2672 (36), 125-135, 2018 | 8 | 2018 |
| Smart mobility through personalized menu optimization X Song, B Atasoy, M Ben-Akiva Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 8 | 2017 |
| Personalization of future urban mobility X Song Massachusetts Institute of Technology, 2018 | 4 | 2018 |
| A Bayesian sample selection model based on normal mixture to investigate household car ownership and usage behavior N Wu, XB Song, R Yao, Q Yu, C Tang, S Zhao Travel Behaviour and Society 20, 36-50, 2020 | 3 | 2020 |
| A Bayesian bandit approach to personalized online coupon recommendations X Song Massachusetts Institute of Technology, 2016 | 3 | 2016 |
Dongfang MaZhejiang UniversityDirección de correo verificada de zju.edu.cn
