Article-Journal

Generalized radiation model for human migration
Generalized radiation model for human migration

Nov 22, 2021

Experimental characterization of a non-Markovian quantum process

Aug 26, 2021

Phase Transition in Taxi Dynamics and Impact of Ridesharing
Phase Transition in Taxi Dynamics and Impact of Ridesharing

Jan 7, 2020

Formulation of a Resilience Index for Metropolitan Rapid Transit Networks
Formulation of a Resilience Index for Metropolitan Rapid Transit Networks

Jan 7, 2018

Characterisation and comparison of spatial patterns in urban systems: A case study of U.S. cities
Characterisation and comparison of spatial patterns in urban systems: A case study of U.S. cities

Jan 1, 2018

Inferring Passenger Types from Commuter Eigentravel Matrices
Inferring Passenger Types from Commuter Eigentravel Matrices

Here, using an ensemble of machine learning models, a procedure is demonstrated that classifies passengers (Adult, Child/Student, and Senior Citizen) based on their three-month travel patterns. The method proceeds by constructing distinct commuter matrices, we refer to as eigentravel matrices, that capture a commuter's characteristic travel routine. Comparing various classification models, we show that the gradient boosting method gives the best prediction with 76% accuracy, 81% better than the minimum model accuracy (42%) computed using proportional chance criterion.

Feb 28, 2017

Impacts of land use and amenities on public transport use, urban planning and design
Impacts of land use and amenities on public transport use, urban planning and design

In this work, we particularly focus on the complex relationship between land-use and transport offering an innovative approach to the problem by using land-use features at two differing levels of granularity (the more general land-use sector types and the more granular amenity structures) to evaluate their impact on public transit ridership in both time and space. To quantify the interdependencies, we explored three machine learning models and demonstrate that the decision tree model performs best in terms of overall performance—good predictive accuracy, generality, computational efficiency, and “interpretability”.

Nov 30, 2016

Generalized Cross Entropy Method for estimating joint distribution from incomplete information

Jul 1, 2016

Non-invasive Procedure to Probe the Route Choices of Commuters in Rail Transit Systems

Jun 1, 2016

A data-driven agent-based model of congestion and scaling dynamics of rapid Transit systems
A data-driven agent-based model of congestion and scaling dynamics of rapid Transit systems

Sep 1, 2015