99 citations · 702 across the 46 of their papers we have counts for
12 papers · 1 filter
Short-Term Traffic Forecasting Using High-Resolution Traffic Data
Wenqing Li, Chuhan Yang, Saif Eddin Jabari
This paper develops a data-driven toolkit for traffic forecasting using high-resolution (a.k.a. event-based) traffic data. This is the raw data obtained from fixed sensors in urban…
Comparative Analysis of Economic Instruments in Intersection Operation: A User-Based Perspective
DianChao Lin, Saif Eddin Jabari
Focusing on different economic instruments implemented in intersection operations under a connected environment, this paper analyzes their advantages and disadvantages from the tra…
A User-Based Charge and Subsidy Scheme for Single O-D Network Mobility Management
Li Li, Dianchao Lin, Saif Eddin Jabari
We propose a path guidance system with a user-based charge and subsidy (UBCS) scheme for single O-D network mobility management. Users who are willing to join the scheme (subscribe…
A Real-Time Dispatching Strategy for Shared Automated Electric Vehicles with Performance Guarantees
Li Li, Theodoros Pantelidis, Joseph Y. J. Chow +1
Real-time vehicle dispatching operations in traditional car-sharing systems is an already computationally challenging scheduling problem. Electrification only exacerbates the compu…
Backpressure Control with Estimated Queue Lengths for Urban Network Traffic
Li Li, Victor Okoth, Saif Eddin Jabari
Backpressure (BP) control was originally used for packet routing in communications networks. Since its first application to network traffic control, it has undergone different modi…
Stop-and-Go: Exploring Backdoor Attacks on Deep Reinforcement Learning-based Traffic Congestion Control Systems
Yue Wang, Esha Sarkar, Wenqing Li +2
Recent work has shown that the introduction of autonomous vehicles (AVs) in traffic could help reduce traffic jams. Deep reinforcement learning methods demonstrate good performance…
Traffic flow with multiple quenched disorders
A. Sai Venkata Ramana, Saif Eddin Jabari
We study heterogeneous traffic dynamics by introducing quenched disorders in all the parameters of Newell's car-following model. Specifically, we consider randomness in the free-fl…
Noticeability Versus Impact in Traffic Signal Tampering
Bilal Thonnam Thodi, Timothy Mulumba, Saif Eddin Jabari
This paper investigates the vulnerability of urban traffic networks to cyber-attacks on traffic lights. We model traffic signal tampering as a bi-objective optimization problem tha…
Traffic Data Imputation using Deep Convolutional Neural Networks
Ouafa Benkraouda, Bilal Thonnam Thodi, Hwasoo Yeo +2
We propose a statistical learning-based traffic speed estimation method that uses sparse vehicle trajectory information. Using a convolutional encoder-decoder based architecture, w…
A node-charge graph-based online carshare rebalancing policy with capacitated electric charging
Theodoros P. Pantelidis, Li Li, Tai-Yu Ma +2
Viability of electric car-sharing operations depends on rebalancing algorithms. Earlier methods in the literature suggest a trend toward non-myopic algorithms using queueing princi…
Nonlinear Traffic Prediction as a Matrix Completion Problem with Ensemble Learning
Wenqing Li, Chuhan Yang, Saif Eddin Jabari
This paper addresses the problem of short-term traffic prediction for signalized traffic operations management. Specifically, we focus on predicting sensor states in high-resolutio…
Pay for Intersection Priority: A Free Market Mechanism for Connected Vehicles
DianChao Lin, Saif Eddin Jabari
The rapid development and deployment of vehicle technologies offer opportunities to re-think the way traffic is managed. This paper capitalizes on vehicle connectivity and proposes…