23 citations · 94 across the 15 of their papers we have counts for
17 papers
Evaluating congestion pricing schemes using agent-based passenger and freight microsimulation
Peiyu Jing, Ravi Seshadri, Takanori Sakai +4
The distributional impacts of congestion pricing have been widely studied in the literature and the evidence on this is mixed. Some studies find that pricing is regressive whereas…
Adaptive Transit Design: Optimizing Fixed and Demand Responsive Multi-Modal Transportation via Continuous Approximation
Giovanni Calabro', Andrea Araldo, Simon Oh +3
In most cities, transit consists solely of fixed-route transportation, whence the inherent limited Quality of Service for travellers in suburban areas and during off-peak periods.…
Screenline-based Two-step Calibration and its application to an agent-based urban freight simulator
Yusuke Hara, Takanori Sakai, André Romano Alho +1
Calibration is an essential process to make an agent-based simulator operational. Especially, the calibration for freight demand is challenging due to the model complexity and the…
Improving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment
Haizheng Zhang, Ravi Seshadri, A. Arun Prakash +3
Simulation-based Dynamic Traffic Assignment models have important applications in real-time traffic management and control. The efficacy of these systems rests on the ability to ge…
Discrete Choice Analysis with Machine Learning Capabilities
Youssef M. Aboutaleb, Mazen Danaf, Yifei Xie +1
This paper discusses capabilities that are essential to models applied in policy analysis settings and the limitations of direct applications of off-the-shelf machine learning meth…
Market Design for Tradable Mobility Credits
Siyu Chen, Ravi Seshadri, Carlos Lima Azevedo +5
Tradable mobility credit (TMC) schemes are an approach to travel demand management that have received significant attention in recent years. This paper proposes and analyzes altern…
Spatiotemporal Characteristics of Ride-sourcing Operation in Urban Area
Simon Oh, Daniel Kondor, Ravi Seshadri +3
The emergence of ride-sourcing platforms has brought an innovative alternative in transportation, radically changed travel behaviors, and suggested new directions for transportatio…
Network Impacts of Automated Mobility-on-Demand: A Macroscopic Fundamental Diagram Perspective
Simon Oh, Antonis F. Lentzakis, Ravi Seshadri +1
Technological advancements have brought increasing attention to Automated Mobility on Demand (AMOD) as a promising solution that may improve future urban mobility. During the last…
E-Commerce Delivery Demand Modeling Framework for An Agent-Based Simulation Platform
Takanori Sakai, Yusuke Hara, Ravi Seshadri +5
The e-commerce delivery demand has grown rapidly in the past two decades and such trend has accelerated tremendously due to the ongoing coronavirus pandemic. Given the situation, t…
A simulation-based evaluation of a Cargo-Hitching service for E-commerce using mobility-on-demand vehicles
Andre Alho, Takanori Sakai, Simon Oh +7
Time-sensitive parcel deliveries, shipments requested for delivery in a day or less, are an increasingly important research subject. It is challenging to deal with these deliveries…
Managing network congestion with a tradable credit scheme: a trip-based MFD approach
Renming Liu, Siyu Chen, Yu Jiang +3
This study investigates the efficiency and effectiveness of an area-based tradable credit scheme (TCS) using the trip-based Macroscopic Fundamental Diagram model for the morning co…
Learning Structure in Nested Logit Models
Youssef M. Aboutaleb, Moshe Ben-Akiva, Patrick Jaillet
This paper introduces a new data-driven methodology for nested logit structure discovery. Nested logit models allow the modeling of positive correlations between the error terms of…
A Neural-embedded Choice Model: TasteNet-MNL Modeling Taste Heterogeneity with Flexibility and Interpretability
Yafei Han, Francisco Camara Pereira, Moshe Ben-Akiva +1
Discrete choice models (DCMs) require a priori knowledge of the utility functions, especially how tastes vary across individuals. Utility misspecification may lead to biased estima…
Sparse Covariance Estimation in Logit Mixture Models
Youssef M Aboutaleb, Mazen Danaf, Yifei Xie +1
This paper introduces a new data-driven methodology for estimating sparse covariance matrices of the random coefficients in logit mixture models. Researchers typically specify cova…
Real-Time Predictive Control Strategy Optimization
Samarth Gupta, Ravi Seshadri, Bilge Atasoy +4
Traffic congestion has lead to an increasing emphasis on management measures for a more efficient utilization of existing infrastructure. In this context, this paper proposes a nov…
Probabilistic Safety Analysis using Traffic Microscopic Simulation
Carlos Lima Azevedo, João L. Cardoso, Moshe E. Ben-Akiva
Traffic microscopic simulation applications are a common tool in road transportation analysis and several attempts to perform road safety assessments have recently been carried out…
Activity recognition for a smartphone and web based travel survey
Youngsung Kim, Francisco C. Pereira, Fang Zhao +3
In transport modeling and prediction, trip purposes play an important role since mobility choices (e.g. modes, routes, departure times) are made in order to carry out specific acti…