activity
20192026
most citedImproving the Accuracy and Efficiency of Online Calibration for Simulation-based Dynamic Traffic Assignment

23 citations · 69 across the 10 of their papers we have counts for

collaborators

12 papers

cs.MA2026

The Limits of Manipulation within Personalized Incentive Policies

Andrea Araldo, Alessa Mayer, Ravi Seshadri +1

Demand management policies aim to shift individual behavior toward sustainable choices (e.g., goods, transport modes). Personalized incentive policies tailor subsidies to agents' n…

eess.SY2023★ 2 cited

A Multi-day Needs-based Modeling Approach for Activity and Travel Demand Analysis

Kexin Chen, Jinping Guan, Ravi Seshadri +6

This paper proposes a multi-day needs-based model for activity and travel demand analysis. The model captures the multi-day dynamics in activity generation, which enables the model…

econ.GN2023★ 1 cited

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…

econ.GN2021★ 15 cited

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.…

eess.SY2021★ 23 cited

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…

econ.GN2021

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…

eess.SY2020

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…

cs.CY2020★ 2 cited

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…

econ.EM2020★ 3 cited

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…

cs.MA2020★ 3 cited

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…

cs.GT2020★ 20 cited

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…

eess.SY2019

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…