185 citations · 525 across the 15 of their papers we have counts for
16 papers
Walkable to Whom? Capturing Subjective Variability in Walkability Perception Using Multimodal Deep Learning
Moloud Damandeh, Meead Saberi
Visual perception of walkability varies substantially across individuals, reflecting differences in personal characteristics, experiences, and preferences. Existing studies, howeve…
INSPIRE-GNN: Intelligent Sensor Placement to Improve Sparse Bicycling Network Prediction via Reinforcement Learning Boosted Graph Neural Networks
Mohit Gupta, Debjit Bhowmick, Rhys Newbury +3
Accurate link-level bicycling volume estimation is essential for sustainable urban transportation planning. However, many cities face significant challenges of high data sparsity d…
Evaluating the effects of Data Sparsity on the Link-level Bicycling Volume Estimation: A Graph Convolutional Neural Network Approach
Mohit Gupta, Debjit Bhowmick, Meead Saberi +2
Accurate bicycling volume estimation is crucial for making informed decisions and planning about future investments in bicycling infrastructure. However, traditional link-level vol…
Optimizing Traffic Signal Control for Continuous-Flow Intersections: Benchmarking against a State-of-Practice Model
Yining Hu, David Rey, Reza Mohajerpoor +1
Continuous-Flow Intersections (CFI), also known as Displaced Left-Turn (DLT) intersections, aim to improve the efficiency and safety of traffic junctions. A CFI introduces addition…
Modeling Large-Scale Walking and Cycling Networks: A Machine Learning Approach Using Mobile Phone and Crowdsourced Data
Meead Saberi, Tanapon Lilasathapornkit
Walking and cycling are known to bring substantial health, environmental, and economic advantages. However, the development of evidence-based active transportation planning and pol…
Dynamic Pedestrian Traffic Assignment with Link Transmission Model for Bidirectional Sidewalk Networks
Tanapon Lilasathapornkit, Meead Saberi
Planning assessment of the urban walking infrastructure requires appropriate methodologies that can capture the time-dependent and unique microscopic characteristics of bidirection…
Multimodal urban mobility and multilayer transport networks
Luis Guillermo Natera Orozco, Laura Alessandretti, Meead Saberi +2
Transportation networks, from bicycle paths to buses and railways, are the backbone of urban mobility. In large metropolitan areas, the integration of different transport modes has…
Vaccine allocation policy optimization and budget sharing mechanism using Thompson sampling
David Rey, Ahmed W Hammad, Meead Saberi
The optimal allocation of vaccines to population subgroups over time is a challenging health care management problem. In the context of a pandemic, the interaction between vaccinat…
A macro-micro approach to modeling parking
Ziyuan Gu, Farshid Safarighouzhdib, Meead Saberi +1
In this paper, we propose a new macro-micro approach to modeling parking. We first develop a microscopic parking simulation model considering both on- and off-street parking with l…
Traffic Assignment Problem for Footpath Networks with Bidirectional Links
Tanapon Lilasathapornkit, David Rey, Wei Liu +1
The estimation of pedestrian traffic in urban areas is often performed with computationally intensive microscopic models that usually suffer from scalability issues in large-scale…
Simulation-based Optimization of Toll Pricing in Large-Scale Urban Networks using the Network Fundamental Diagram: A Cross-Comparison of Methods
Ziyuan Gu, Meead Saberi
Simulation-based optimization (SO or SBO) has become increasingly important to address challenging transportation network design problems. In this paper, we propose to solve two to…
Joint routing and pricing control in congested mixed autonomy networks
Mohammadhadi Mansourianfar, Ziyuan Gu, S. Travis Waller +1
Routing controllability of connected and autonomous vehicles (CAVs) has been shown to reduce the adverse effects of selfish routing on the network efficiency. However, the assumpti…
A simple contagion process describes spreading of traffic jams in urban networks
Meead Saberi, Mudabber Ashfaq, Homayoun Hamedmoghadam +8
The spread of traffic jams in urban networks has long been viewed as a complex spatio-temporal phenomenon that often requires computationally intensive microscopic models for analy…
Optimal distance- and time-dependent area-based pricing with the Network Fundamental Diagram
Ziyuan Gu, Sajjad Shafiei, Zhiyuan Liu +1
Given the efficiency and equity concerns of a cordon toll, this paper proposes a few alternative distance-dependent area-based pricing models for a large-scale dynamic traffic netw…
Surrogate-based toll optimization in a large-scale heterogeneously congested network
Ziyuan Gu, S. Travis Waller, Meead Saberi
Toll optimization in a large-scale dynamic traffic network is typically characterized by an expensive-to-evaluate objective function. In this paper, we propose two toll level probl…
Network traffic instability in a two-ring system with automated driving and cooperative merging
Ziyuan Gu, Meead Saberi
In this paper, we characterize the effects of turning and merging maneuvers of connected and/or automated vehicles (CAVs or AVs) on network traffic instability using the macroscopi…