Fuzzy logic-based emergency vehicle routing: An IoT system development for smart city applications

RR Rout, S Vemireddy, SK Raul… - Computers & Electrical …, 2020 - Elsevier
Reducing the travel time of an Emergency Vehicle (EV) is essential to increase the chance
of casualty's survival. An efficient vehicle routing solution can avoid instantaneous road …

Predicting Traffic Casualties Using Support Vector Machines with Heuristic Algorithms: A Study Based on Collision Data of Urban Roads

W Zhong, L Du - Sustainability, 2023 - mdpi.com
Traffic accidents on urban roads are a major cause of death despite the development of
traffic safety measures. However, the prediction of casualties in urban road traffic accidents …

Recent advancement in emergency vehicle communication system using IoT

AS Bale, V Narayanaswamy… - IoT and Big Data …, 2022 - taylorfrancis.com
This chapter overviews the various techniques of emergency vehicle management system
using IoT and Artificial Intelligence (AI) technology and how emergency needs can be …

[HTML][HTML] Linguistic interval type 2 fuzzy logic-based Exigency Vehicle routing: IoT system development for smart city applications with soft computing-based …

S Roy, DK Jana, A Mishra - Franklin Open, 2024 - Elsevier
Abstract An Exigency Vehicle (EV) has to go more quickly to increase the likelihood that
someone in danger would survive. Construction projects, strikes, and accidents may all be …

Cognitive Vehicular Network Based Accident Information System for Sustainable Traffic

MA Besli, ME Bayrakdar - IETE Journal of Research, 2025 - Taylor & Francis
Vehicle Ad Hoc Networks emerge as a new research area. Vehicle ad hoc networks
(VANETs) are widely used in intelligent transportation systems to reduce traffic congestion …

A fuzzy logic-based congestion detection technique for vehicular ad hoc networks

R Ranjita, S Acharya - Advances in Distributed Computing and Machine …, 2022 - Springer
Vehicular ad hoc networks (VANETs) have wide applications in public healthcare systems.
Reducing the travel time of emergency vehicles like ambulance increases the chance of …

A Fuzzy Logic Model for FMCG sector towards predicting the optimal forecasting capacity in the supply chain: Case Study

LA Marta, SM Omar… - 2023 IEEE Asia-Pacific …, 2023 - ieeexplore.ieee.org
An accurate demand forecasting is an important aspect of fast moving consumer goods
(FMCG) companies for achieving the sales target monthly and yearly. Based on this aim …

A Fuzzy Logic-Based Emergency Vehicle Routing Technique for Vehicular Ad-hoc Networks

R Ranjita, S Acharya - Research Advances in Network …, 2023 - taylorfrancis.com
Vehicular ad-hoc “networks” have wide applications in public healthcare systems. Reducing
the “travel time of emergency vehicles” like ambulance increases the chance of survival of …

Automobiles Driving Data Recording Method Based on Internet of Vehicles and Blockchain Technologies

CS Hung, SH Chen, CHR Lin - International Conference on Genetic and …, 2023 - Springer
This paper proposes a method to record automobiles driving data by using Internet of
Vehicles (IoV) and blockchain technologies. The automobiles physical driving data are …

Analysis of spatiotemporal impact of traffic incidents on road networks

H Zhang, W Zhang, J Li, X Li - International Conference on Intelligent …, 2021 - Springer
To quantitatively investigate the temporal and spatial impact of traffic incidents on the traffic
flow of freeways, this paper proposes a novel method to model the impact of incidents based …