6 citations · 11 across the 8 of their papers we have counts for
8 papers
Modeling Transit in a Fully Integrated Agent-Based Framework: Methodology and Large-Scale Application
Omer Verbas, Taner Cokyasar, Pedro Veiga de Camargo +3
This study presents a transit routing, assignment, and simulation framework which is fully embedded in a multimodal, multi-agent transportation demand and supply modeling platform.…
Large-Scale Evaluation of Mobility, Technology and Demand Scenarios in the Chicago Region Using POLARIS
Joshua Auld, Jamie Cook, Krishna Murthy Gurumurthy +7
Rapid technological progress and innovation in the areas of vehicle connectivity, automation and electrification, new modes of shared and alternative mobility, and advanced transpo…
Large-Scale Dynamic Ridesharing with Iterative Assignment
Akhil Vakayil, Felipe de Souza, Taner Cokyasar +2
Transportation network companies (TNCs) have become a highly utilized transportation mode over the past years. At their emergence, TNCs were serving ride requests one by one. Howev…
Revitalizing Public Transit in Low Ridership Areas: An Exploration of On-Demand Multimodal Transit Systems
Jiawei Lu, Connor Riley, Krishna Murthy Gurumurthy +1
Public transit plays an essential role in mitigating traffic congestion, reducing emissions, and enhancing travel accessibility and equity. One of the critical challenges in design…
A Deep Learning Approach for Macroscopic Energy Consumption Prediction with Microscopic Quality for Electric Vehicles
Ayman Moawad, Krishna Murthy Gurumurthy, Omer Verbas +4
This paper presents a machine learning approach to model the electric consumption of electric vehicles at macroscopic level, i.e., in the absence of a speed profile, while preservi…
A Real-Time Energy and Cost Efficient Vehicle Route Assignment Neural Recommender System
Ayman Moawad, Zhijian Li, Ines Pancorbo +6
This paper presents a neural network recommender system algorithm for assigning vehicles to routes based on energy and cost criteria. In this work, we applied this new approach to…
Modelling Animal-Vehicle Collision Counts across Large Networks Using a Bayesian Hierarchical Model with Time-Varying Parameters
Krishna Murthy Gurumurthy, Zili Li, Kara M. Kockelman +1
Animal-vehicle collisions (AVCs) are common around the world and result in considerable loss of animal and human life, as well as significant property damage and regular insurance…
Congestion Pricing in a World of Self-driving vehicles: an Analysis of Different Strategies in Alternative Future Scenarios
Michele D. Simoni, Kara M. Kockelman, Krishna M. Gurumurthy +1
The introduction of autonomous (self-driving) and shared autonomous vehicles (AVs and SAVs) will affect travel destinations and distances, mode choice, and congestion. From a traff…