Xiang Ben Song
Title
Cited by
Cited by
Year
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
1082015
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
202020
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
182019
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
162018
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
162018
Investigating Pedestrian Navigation in Indoor Open Space Environments Using Big Data
L Ruggiero, D Charitha, S Xiang, B Lucia
Applied Mathematical Modelling, 2018
162018
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
142018
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
122020
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
82018
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
52017
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
42018
Smart mobility through personalized menu optimization
X Song, B Atasoy, M Ben-Akiva
Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017
42017
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
22021
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
22020
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
22018
Personalization of future urban mobility
X Song
Massachusetts Institute of Technology, 2018
22018
A Bayesian bandit approach to personalized online coupon recommendations
X Song
Massachusetts Institute of Technology, 2016
22016
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
12019
Scenarios discovery: robust transportation policy analysis in Singapore using microscopic traffic simulator
X Song
Massachusetts Institute of Technology, 2013
12013
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
2021
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Articles 1–20