melmasri/traveltimeHMM: Estimate and predict travel time on road networks

Implements a Hidden Markov Model (HMM) with a random trip effect to estimate the distribution of travel time. The HMM is used to capture dependency on hidden congestion states. The trip effect is used to capture dependency on driver behaviour. Variations of those two types of dependencies leads to four models to estimate the distribution of travel time. Prediction methods for each model is provided.

Getting started

Package details

MaintainerMohamad Elmasri <elmasri.m@gmail.com>
LicenseGPL-3
Version0.0.0.9
URL https://github.com/melmasri/traveltimeHMM
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("melmasri/traveltimeHMM")
melmasri/traveltimeHMM documentation built on Sept. 4, 2019, 10:47 p.m.