Browsing by Advisor "Pinjari, Abdul Rawoof"
Now showing items 1-8 of 8
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Activity-travel behavior modeling of pilgrims in mass religious gatherings
The number of participants in mass gatherings like Kumbh Mela is ever increasing. Simulations for pre-event crowd modeling, risk assessment, and control planning can help set up robust crowd management and control mechanisms. ... -
Aggregate and Disaggregate-level Models of Public Transit Ridership in Bengaluru, India
Ridership forecasting models are valuable tools for public transit agencies to assess and quantify the possible impacts of their operational strategies and service improvements on transit demand and revenue. Although ... -
Collaboration Models for Ride-hailing and Transit Service Providers to Facilitate First- and Last-mile Connectivity
Mobility-as-a-Service (MaaS) has gained significant popularity in the past few years. Various ride-hailing service providers (RSPs, e.g., Uber, Lyft, Didi, Ola, etc.) have entered the transportation market to provide this ... -
Identifying and Disentangling Different Sources of Variability in Travel Choice Models
Random utility maximization (RUM)-based discrete choice models are widely used for analyzing individual choice behaviour across diverse fields, including transportation, economics, market research, healthcare, and environmental ... -
An Integrated Choice and Latent Variable Framework to Incorporate the Influence of Travel Time Variability on Truck Route Choice
Route choice models (or path choice models) are useful for quantifying travellers’ preferences for or sensitivity to route attributes, predicting network-level traffic flows, examining the influence of information provided ... -
Modelling Multimodal Mode Choice Behaviour with Spatial Variability in Level of Service Attributes
Cities worldwide are grappling with declining public transit usage, primarily due to insufficient spatial coverage of mass transit corridors in sprawling urban regions and inadequate first- and last-mile connectivity options ... -
Multi-vehicle anticipation-based models for describing driver behaviour in heterogeneous and disorderly traffic conditions
Driver behaviour models are widely used in the traffic engineering literature and practice. They are used for understanding drivers’ manoeuvring decisions in traffic streams. They also form the building blocks of microscopic ... -
Multiple Discrete-Continuous Choice Models with Flexible Specification of Constraints, Utility Forms, and Stochastic Distributions: Applications in Travel Behavior Research
Econometric choice models have been widely used in travel behaviour research to understand human activities, time-use, mobility choices, consumption, and related preferences. Most research in this area had focused on ...