A comprehensive survey on data dissemination in Vehicular Ad Hoc Networks

H Shahwani, SA Shah, M Ashraf, M Akram… - Vehicular …, 2022 - Elsevier
Abstract Vehicular Ad Hoc Networks (VANET) are self-organized wireless network for
Intelligent Transportation Systems (ITS) that allow vehicles to collaborate with each other, to …

A survey and comparative study of broadcast warning message dissemination schemes for VANETs

JA Sanguesa, M Fogue, P Garrido… - Mobile Information …, 2016 - Wiley Online Library
Vehicle‐to‐vehicle (V2V) communications also known as vehicular ad hoc networks
(VANETs) allow vehicles to cooperate to increase driving efficiency and safety on the roads …

Missing value imputation for the analysis of incomplete traffic accident data

R Deb, AWC Liew - Information sciences, 2016 - Elsevier
Death, injury and disability resulting from road traffic crashes continue to be a major global
public health problem. Recent data suggest that the number of fatalities from traffic crashes …

Heuristic algorithms based on the isochron analysis for dynamic relocation of medical emergency vehicles

Y Karpova, F Villa, E Vallada, MÁ Vecina - Expert Systems with Applications, 2023 - Elsevier
Among the wide range of medical services, prehospital health care is one of the most
relevant, as it usually involves an emergency situation. The qualified medical team is …

On the use of artificial intelligence techniques in intelligent transportation systems

M Machin, JA Sanguesa, P Garrido… - 2018 IEEE wireless …, 2018 - ieeexplore.ieee.org
Due to the progressive increase in the population and the complexity of their mobility needs,
the evolution of transportation systems to solve advanced mobility problems has been …

A hybrid multiobjective rbf-pso method for mitigating dos attacks in named data networking

A Karami, M Guerrero-Zapata - Neurocomputing, 2015 - Elsevier
Abstract Named Data Networking (NDN) is a promising network architecture being
considered as a possible replacement for the current IP-based (host-centric) Internet …

An effective method for classification with missing values

SA Zahin, CF Ahmed, T Alam - Applied Intelligence, 2018 - Springer
Classification is one of the most important tasks in machine learning with a huge number of
real-life applications. In many practical classification problems, the available information for …

Routing optimization in vehicular networks: A new approach based on multiobjective metrics and minimum spanning tree

P Fazio, F De Rango, C Sottile… - … Journal of Distributed …, 2013 - journals.sagepub.com
Recently, distributed mobile wireless computing is becoming a very important
communications paradigm, due to its flexibility to adapt to different mobile applications. As …

Bi-objective traffic count location model for mean and covariance of origin–destination estimation

W Sun, H Shao, L Shen, T Wu, WHK Lam, B Yao… - Expert Systems with …, 2021 - Elsevier
This paper describes a bi-objective optimization model for the traffic count location problem
in stochastic origin–destination (OD) traffic demand estimation. Two measures are defined to …

GIS-based assessment of pedestrian-vehicle accidents in terms of safety with four different ML models

BY Katanalp, E Eren - Journal of Transportation Safety & Security, 2022 - Taylor & Francis
In this study, both micro and macro level evaluation of pedestrian-vehicle crashes were
conducted. Macro-level findings were obtained with GIS-based density analyzes, and critical …