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20162023
most citedUncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks

50 citations · 78 across the 16 of their papers we have counts for

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Showing 2022Show all

6 papers · 1 filter

eess.SY2022

An Integrated Ride-Matching Model for Shared Mobility on Demand Services

Kerem Tuncel, Haris N. Koutsopoulos, Zhenliang Ma

Shared mobility on demand (MoD) services are receiving increased attention as many high volume ride-hailing companies are offering shared services (e.g. UberPool, LyftLine) at an i…

cs.LG2022★ 50 cited

Uncertainty Quantification of Sparse Travel Demand Prediction with Spatial-Temporal Graph Neural Networks

Dingyi Zhuang, Shenhao Wang, Haris N. Koutsopoulos +1

Origin-Destination (O-D) travel demand prediction is a fundamental challenge in transportation. Recently, spatial-temporal deep learning models demonstrate the tremendous potential…

cs.MA2022

Dynamic Interlining in Bus Operations

Seyedmostafa Zahedi, Haris N. Koutsopoulos, Zhenliang Ma

The paper introduces and evaluates the concept of the dynamic interlining of buses. Dynamic interlining is an operational strategy for routes that have a terminal station at a comm…

math.OC2022

Transit Frequency Setting Problem with Demand Uncertainty

Xiaotong Guo, Baichuan Mo, Haris N. Koutsopoulos +2

Public transit systems are the backbone of urban mobility systems in the era of urbanization. The design of transit schedules is important for the efficient and sustainable operati…

cs.SI2022

Schedule-based Analysis of Transmission Risk in Public Transportation Systems

Jiali Zhou, Haris N. Koutsopoulos

Airborne diseases, including COVID-19, raise the question of transmission risk in public transportation systems. However, quantitative analysis of the effectiveness of transmission…

math.OC2022

Robust Path Recommendations During Public Transit Disruptions Under Demand Uncertainty

Baichuan Mo, Haris N. Koutsopoulos, Max Zuo-Jun Shen +1

When there are significant service disruptions in public transit systems, passengers usually need guidance to find alternative paths. This paper proposes a path recommendation mode…