20 citations · 68 across the 20 of their papers we have counts for
20 papers
Using Drift Diffusion Model to Analyze Cars' Lane Change Decisions behind Heavy Vehicles
Nachuan Li, Hani S. Mahmassani, Soyoung Ahn +1
Heavy vehicles (HVs) pose a significant challenge to maintaining a smooth traffic flow on the freeway because they are slower moving and create large blind spots. It is therefore d…
Semi-on-Demand Transit Feeders with Shared Autonomous Vehicles and Reinforcement-Learning-Based Zonal Dispatching Control
Max T. M. Ng, Roman Engelhardt, Florian Dandl +2
This paper develops a semi-on-demand transit feeder service using shared autonomous vehicles (SAVs) and zonal dispatching control based on reinforcement learning (RL). This service…
Can the Waymo Open Motion Dataset Support Realistic Behavioral Modeling? A Validation Study with Naturalistic Trajectories
Yanlin Zhang, Sungyong Chung, Nachuan Li +4
The Waymo Open Motion Dataset (WOMD) has become a popular resource for data-driven modeling of autonomous vehicles (AVs) behavior. However, its validity for behavioral analysis rem…
Equity Impacts of Public Transit Network Redesign with Shared Autonomous Mobility Services
Max T. M. Ng, Meredith Raymer, Hani S. Mahmassani +2
This study examines the equity impacts of integrating shared autonomous mobility services (SAMS) into transit system redesign. Using the Greater Chicago area as a case study, we co…
Analyzing Country-Level Vaccination Rates and Determinants of Practical Capacity to Administer COVID-19 Vaccines
Sharika J. Hegde, Max T. M. Ng, Marcos Rios +3
The COVID-19 vaccine development, manufacturing, transportation, and administration proved an extreme logistics operation of global magnitude. Global vaccination levels, however, r…
Evaluation of Rail Decarbonization Alternatives: Framework and Application
Adrian Hernandez, Max TM Ng, Nazib Siddique +5
The Northwestern University Freight Rail Infrastructure and Energy Network Decarbonization (NUFRIEND) framework is a comprehensive industry-oriented tool for simulating the deploym…
Autonomous Minibus Service with Semi-on-demand Routes in Grid Networks
Max T. M. Ng, Hani S. Mahmassani
This paper investigates the potential of autonomous minibuses which take on-demand directional routes for pick-up and drop-off in a grid network of wider area with low density, fol…
How Well Did U.S. Rail and Intermodal Freight Respond to the COVID-19 Pandemic vs. the Great Recession?
Max T. M. Ng, Joseph Schofer, Hani S. Mahmassani
This paper analyzes and compares patterns of U.S. domestic rail freight volumes during, and after the disruptions caused by the 2007-2009 Great Recession and the COVID-19 pandemic…
Econometric Analysis of Pandemic Disruption and Recovery Trajectory in the U.S. Rail Freight Industry
Max T. M. Ng, Hani S. Mahmassani, Joseph L. Schofer
To measure the impacts on U.S. rail and intermodal freight by economic disruptions of the 2007-09 Great Recession and the COVID-19 pandemic, this paper uses time series analysis wi…
Highway Managed Lane Usage and Tolling for Mixed Traffic Flows with Connected Automated Vehicles (CAVs) and High-Occupancy Vehicles (HOVs)
Max T. M. Ng, Hani S. Mahmassani
This paper investigates managed lane (ML) toll setting and its effect under mixed traffic of connected automated vehicles (CAVs), high-occupancy vehicles (HOVs), and human-driven v…
Trading Off Energy Storage and Payload -- An Analytical Model for Freight Train Configuration
Max T. M. Ng, Adrian Hernandez, Pablo L. Durango-Cohen +1
To support planning of alternative fuel technology (e.g., battery-electric locomotives) deployment for decarbonizing non-electrified freight rail, we develop a convex optimization…
Joint Optimization of Multimodal Transit Frequency and Shared Autonomous Vehicle Fleet Size with Hybrid Metaheuristic and Nonlinear Programming
Max T. M. Ng, Hani S. Mahmassani, Draco Tong +2
Shared autonomous vehicles (SAVs) bring competition to traditional transit services but redesigning multimodal transit network can utilize SAVs as feeders to enhance service effici…
Joint Optimization of Pattern, Headway, and Fleet Size of Multiple Urban Transit Lines with Perceived Headway Consideration and Passenger Flow Allocation
Max T. M. Ng, Draco Tong, Hani S. Mahmassani +2
This study addresses the urban transit pattern design problem, optimizing stop sequences, headways, and fleet sizes across multiple routes and periods simultaneously to minimize us…
Semi-on-Demand Off-Peak Transit Services with Shared Autonomous Vehicles -- Service Planning, Simulation, and Analysis in Munich, Germany
Max T. M. Ng, Roman Engelhardt, Florian Dandl +3
This study investigates the implementation of semi-on-demand (SoD) hybrid-route services using Shared Autonomous Vehicles (SAVs) on existing transit lines. SoD services combine the…
Semi-on-Demand Hybrid Transit Route Design with Shared Autonomous Mobility Services
Max T. M. Ng, Florian Dandl, Hani S. Mahmassani +1
Shared Autonomous Vehicles (SAVs) enable transit agencies to design more agile and responsive services at lower operating costs. This study designs and evaluates a semi-on-demand h…
Predictive Vehicle Repositioning for On-Demand Ride-Pooling Services
Roman Engelhardt, Hani S. Mahmassani, Klaus Bogenberger
On-Demand Ride-Pooling services have the potential to increase traffic efficiency compared to private vehicle trips by decreasing parking space needed and increasing vehicle occupa…
Game-theoretical approach to decentralized multi-drone conflict resolution and emergent traffic flow operations
Serge Hoogendoorn, Victor Knoop, Hani Mahmassani +1
This paper introduces decentralized control concepts for drones using differential game theory. The approach optimizes the behavior of an ego drone, assuming the anticipated behavi…
Redesigning Large-Scale Multimodal Transit Networks with Shared Autonomous Mobility Services
Max T. M. Ng, Hani S. Mahmassani, Ömer Verbas +2
This study addresses a large-scale multimodal transit network design problem, with Shared Autonomous Mobility Services (SAMS) as both transit feeders and an origin-to-destination m…
Regulating Mobility-on-Demand Services: Tri-level Model and Bayesian Optimization Solution Approach
Florian Dandl, Roman Engelhardt, Michael Hyland +3
The goal of this paper is to develop a modeling framework that captures the inter-decision dynamics between mobility service providers (MSPs) and travelers that can be used to opti…
From Behavioral Psychology to Acceleration Modeling: Calibration, Validation, and Exploration of Drivers Cognitive and Safety Parameters in a Risk-Taking Environment
Samer H. Hamdar, Hani S. Mahmassani, Martin Treiber
We investigate a utility-based approach for driver car-following behavioral modeling while analyzing different aspects of the model characteristics especially in terms of capturing…