most citedTrip Planning for Autonomous Vehicles with Wireless Data Transfer Needs Using Reinforcement Learning

4 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.IT2026

Age of Information Under DCC Rate Constraints for V2I Broadcast Along Urban Corridors

Yousef AlSaqabi

ETSI Decentralized Congestion Control (DCC) limits roadside unit (RSU) broadcast rates based on channel load, yet its impact on age of information (AoI) for vehicle-to-infrastructu…

cs.NI2026

Cooperative RSU Sleep Scheduling for Green V2I Corridors

Yousef AlSaqabi

As vehicle-to-infrastructure (V2I) deployments scale, roadside units (RSUs) that consume 10-25W continuously yet serve negligible traffic during off-peak hours represent a growing…

cs.NI2026

Game-Theoretic Framework for Private Data Sharing in Vehicular Networks

Yousef AlSaqabi, Yinan Zhou, Faisal Nawab +1

We present a novel game-theoretic framework designed to enhance privacy and scalability in decentralized vehicular data collection systems. The proposed hybrid architecture compris…

eess.SY2026

Reinforcement Learning-Based Traffic Signal Control for IoT-Enabled Intersections

Yousef AlSaqabi

Urban traffic congestion remains a persistent challenge in car-dependent cities, imposing significant economic and societal costs. Traffic signal systems are increasingly deployed…

cs.HC2023

Driving with Guidance: Exploring the Trade-Off Between GPS Utility and Privacy Concerns Among Drivers

Yousef AlSaqabi, Souti Chattopadhyay

As the reliance on GPS technology for navigation grows, so does the ethical dilemma of balancing its indispensable utility with the escalating concerns over user privacy. This stud…

eess.SY2023

Incentivizing Private Data Sharing in Vehicular Networks: A Game-Theoretic Approach

Yousef AlSaqabi, Bhaskar Krishnamachari

In the context of evolving smart cities and autonomous transportation systems, Vehicular Ad-hoc Networks (VANETs) and the Internet of Vehicles (IoV) are growing in significance. Ve…