activity
20182022
most citedA New Spatial Count Data Model with Bayesian Additive Regression Trees for Accident Hot Spot Identification

41 citations · 56 across the 14 of their papers we have counts for

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Showing 2020Show all

9 papers · 1 filter

econ.EM2020

Robust discrete choice models with t-distributed kernel errors

Rico Krueger, Michel Bierlaire, Thomas Gasos +1

Outliers in discrete choice response data may result from misclassification and misreporting of the response variable and from choice behaviour that is inconsistent with modelling…

stat.AP2020

A New Spatial Count Data Model with Time-varying Parameters

Prasad Buddhavarapu, Prateek Bansal, Jorge A. Prozzi

Recent crash frequency studies incorporate spatiotemporal correlations, but these studies have two key limitations: i) none of these studies accounts for temporal variation in mode…

eess.SP2020★ 2 cited

Biogeography-Based Optimization and Support Vector Regression for Freeway Travel Time Prediction and Feature Selection

Prateek Bansal

As travelers make their choices based on travel time, its prior information can be helpful for them in making more informed travel decisions. To achieve this goal, travel time pred…

eess.SY2020★ 2 cited

Matlab-Vissim Interface for online optimization of Green Time splits

Prateek Bansal

VISSIM is a widely used microscopic traffic simulator, which not only provides a graphical user interface to simulate simple static controls (pre-timed or fixed-time) but also offe…

stat.AP2020★ 2 cited

A Dynamic Choice Model with Heterogeneous Decision Rules: Application in Estimating the User Cost of Rail Crowding

Prateek Bansal, Daniel Hörcher, Daniel J. Graham

Crowding valuation of subway riders is an important input to various supply-side decisions of transit operators. The crowding cost perceived by a transit rider is generally estimat…

stat.CO2020

Designed Quadrature to Approximate Integrals in Maximum Simulated Likelihood Estimation

Prateek Bansal, Vahid Keshavarzzadeh, Angelo Guevara +2

Maximum simulated likelihood estimation of mixed multinomial logit (MMNL) or probit models requires evaluation of a multidimensional integral. Quasi-Monte Carlo (QMC) methods such…