activity
20172023
most citedAn investigation into machine learning approaches for forecasting spatio-temporal demand in ride-hailing service

29 citations · 38 across the 16 of their papers we have counts for

collaborators
Showing cs.CRShow all

5 papers · 1 filter

cs.CR2021

Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems

Ranwa Al Mallah, Godwin Badu-Marfo, Bilal Farooq

Federated learning (FL) is a machine learning technique that aims at training an algorithm across decentralized entities holding their local data private. Wireless mobile networks…

cs.CR2020

Resilience-by-design in Adaptive Multi-Agent Traffic Control Systems

Ranwa Al Mallah, Talal Halabi, Bilal Farooq

Connected and Autonomous Vehicles (CAVs) with their evolving data gathering capabilities will play a significant role in road safety and efficiency applications supported by Intell…

cs.CR2020

Actor-based Risk Analysis for Blockchains in Smart Mobility

Ranwa Al Mallah, Bilal Farooq

Blockchain technology is a crypto-based secure ledger for data storage and transfer through decentralized, trustless peer-to-peer systems. Despite its advantages, previous studies…

cs.CR2019

Privacy-Aware Distributed Mobility Choice Modelling over Blockchain

David Lopez, Bilal Farooq

A generalized distributed tool for mobility choice modelling is presented, where participants do not share personal raw data, while all computations are done locally. Participants…

cs.CR2019

Perturbation Methods for Protection of Sensitive Location Data: Smartphone Travel Survey Case Study

Godwin Badu-Marfo, Bilal Farooq, Zachary Patterson

Smartphone based travel data collection has become an important tool for the analysis of transportation systems. Interest in sharing travel survey data has gained popularity in rec…