Xiang Ben Song
Cited by
Cited by
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
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, 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
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
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
Investigating Pedestrian Navigation in Indoor Open Space Environments Using Big Data
L Ruggiero, D Charitha, S Xiang, B Lucia
Applied Mathematical Modelling, 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
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, 2020
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
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
International Conference on Traffic and Granular Flow, 215-223, 2017
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, 2018
Smart mobility through personalized menu optimization
X Song, B Atasoy, M Ben-Akiva
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
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
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
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
Personalization of future urban mobility
X Song
Massachusetts Institute of Technology, 2018
A Bayesian bandit approach to personalized online coupon recommendations
X Song
Massachusetts Institute of Technology, 2016
Prompt prediction of spillovers in urban street networks by using rolling time occupancy data
D Ma, B Sheng, D Wang, S Jin, X Song
Transportmetrica A: transport science 15 (2), 1041-1060, 2019
Scenarios discovery: robust transportation policy analysis in Singapore using microscopic traffic simulator
X Song
Massachusetts Institute of Technology, 2013
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
The system can't perform the operation now. Try again later.
Articles 1–20