activity
20212026
most citedResiliency of On-Demand Multimodal Transit Systems During a Pandemic

33 citations · 36 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

GeoRC: A Benchmark for Geolocation Reasoning Chains

Mohit Talreja, Joshua Diao, Jim Thannikary James +6

Vision Language Models (VLMs) are good at recognizing the global location of a photograph -- their geolocation prediction accuracy rivals the best human experts. But many VLMs are…

eess.SY2026

The Impact of Shared Autonomous Vehicles in Microtransit Systems: A Case Study in Atlanta

Jason Lu, Tejas Santanam, Hongzhao Guan +5

Microtransit systems represent an enhancement to solve the first- and last-mile problem, integrating traditional rail and bus networks with on-demand shuttles into a flexible, inte…

cs.CY2024

Survey of Methods, Resources, and Formats for Teaching Constraint Programming

Tejas Santanam, Helmut Simonis

This paper provides an overview of the state of teaching for Constraint Programming, based on a survey of the community for the 2023 Workshop on Teaching Constraint Programming at…

cs.CY2023★ 2 cited

MARTA Reach: Toward an On-Demand Multimodal Transit System in Atlanta

Pascal Van Hentenryck, Connor Riley, Anthony Trasatti +7

On-Demand Multimodal Transit Systems (ODMTS) adopt a transit-centric model, integrating fixed-route public transit with on-demand shuttles to provide integrated, door-to-door multi…

cs.CY2023

Modern Constraint Programming Education: Lessons for the Future

Tejas Santanam, Pascal Van Hentenryck

This paper details an outlook on modern constraint programming (CP) education through the lens of a CP instructor. A general overview of current CP courses and instructional method…

cs.LG2023★ 1 cited

Changes in Commuter Behavior from COVID-19 Lockdowns in the Atlanta Metropolitan Area

Tejas Santanam, Anthony Trasatti, Hanyu Zhang +3

This paper analyzes the impact of COVID-19 related lockdowns in the Atlanta, Georgia metropolitan area by examining commuter patterns in three periods: prior to, during, and after…

cs.CV2022

Deep Image Style Transfer from Freeform Text

Tejas Santanam, Mengyang Liu, Jiangyue Yu +1

This paper creates a novel method of deep neural style transfer by generating style images from freeform user text input. The language model and style transfer model form a seamles…

stat.AP2022

Ease and Equity of Point of Interest Accessibility via Public Transit in the U.S

Alexander Li, Mengyang Liu, Aurimas Racas +3

Equitable access to essential Points of Interest (POIs) such as healthcare facilities and grocery stores via public transit is a critical urban planning challenge. This paper intro…

math.OC2021

Public Transit for Special Events: Ridership Prediction and Train Optimization

Tejas Santanam, Anthony Trasatti, Pascal Van Hentenryck +1

Many special events, including sport games and concerts, often cause surges in demand and congestion for transit systems. Therefore, it is important for transit providers to unders…

math.OC2021★ 33 cited

Resiliency of On-Demand Multimodal Transit Systems During a Pandemic

Ramon Auad, Kevin Dalmeijer, Connor Riley +4

During the COVID-19 pandemic, the collapse of the public transit ridership led to significant budget deficits due to dramatic decreases in fare revenues. Additionally, public trans…