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08/01/2022
A Deep Generative Model for Feasible and Diverse Population Synthesis
An ideal synthetic population, a key input to activity-based models, mim...
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04/05/2022
DT2I: Dense Text-to-Image Generation from Region Descriptions
Despite astonishing progress, generating realistic images of complex sce...
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01/22/2022
Fuel consumption elasticities, rebound effect and feebate effectiveness in the Indian and Chinese new car markets
China and India, the world's two most populous developing economies, are...
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09/08/2021
A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles
Due to the unavailability of prototypes, the early adopters of novel pro...
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07/06/2021
Face masks, vaccination rates and low crowding drive the demand for the London Underground during the COVID-19 pandemic
The COVID-19 pandemic has drastically impacted people's travel behaviour...
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05/07/2021
A Non-Compensatory Random Utility Choice Model based on Choquet Integral
We present a random utility maximisation (RUM) based discrete choice mod...
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04/06/2021
Modelling Animal-Vehicle Collision Counts across Large Networks Using a Bayesian Hierarchical Model with Time-Varying Parameters
Animal-vehicle collisions (AVCs) are common around the world and result ...
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01/15/2021
A Bayesian perspective on sampling of alternatives
In this paper, we apply a Bayesian perspective to sampling of alternativ...
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11/25/2020
Congestion in near capacity metro operations: optimum boardings and alightings at bottleneck stations
During peak hours, metro systems often operate at high service frequenci...
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09/14/2020
Robust discrete choice models with t-distributed kernel errors
Models that are robust to aberrant choice behaviour have received limite...
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08/09/2020
A New Spatial Count Data Model with Time-varying Parameters
Recent crash frequency studies incorporate spatiotemporal correlations, ...
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07/14/2020
Designed Quadrature to Approximate Integrals in Maximum Simulated Likelihood Estimation
Maximum simulated likelihood estimation of mixed multinomial logit (MMNL...
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07/10/2020
A Causal Inference Approach to Measure the Vulnerability of Urban Metro Systems
Transit operators and passengers need vulnerability measures to understa...
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07/07/2020
A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding
Crowding valuation of subway riders is an important input to various sup...
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07/07/2020
Fast Bayesian Estimation of Spatial Count Data Models
Spatial count data models are used to explain and predict the frequency ...
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05/24/2020
A New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification
The identification of accident hot spots is a central task of road safet...
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05/01/2019
Variational Bayesian Inference for Mixed Logit Models with Unobserved Inter- and Intra-Individual Heterogeneity
Variational Bayes (VB) methods have emerged as a fast and computationall...
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04/13/2019
Pólygamma Data Augmentation to address Non-conjugacy in the Bayesian Estimation of Mixed Multinomial Logit Models
The standard Gibbs sampler of Mixed Multinomial Logit (MMNL) models invo...
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04/07/2019
Bayesian Estimation of Mixed Multinomial Logit Models: Advances and Simulation-Based Evaluations
Variational Bayes (VB) methods have emerged as a fast and computationall...
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05/16/2018
