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46 results for “road network”
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Research ArticleOpen accessIn the abstractRF-CNNS: Thin Deep Learning Networks For Accelerating Traffic Signs RecognitionBtissam Bousarhane, Driss BouzidiRoad scene analysis is a wide domain of research that aims to ameliorate the environmental perception in intelligent transportation systems, including autonomous vehicles and advanced driver-assistance systems. It also plays a crucial role in road safety improvement, by contributing to the reduction of traffic accidents' rate. Ensuring an efficient recognition of traffic signs contributes enormously to making cars safer, which … …Journal of Computer Science, Vol. 19, Issue 10 · 18 Sep 2023 · 5,335 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Detection and Mitigation of Rushing Attacks in VANETs Using RAID: A Novel Intrusion Detection SystemVamshi Krishna Kapu, Ganesh Reddy KarriThe vehicle manufacturing hub has evolved over the last decade with the emergence of self-driving vehicles and human-driven vehicles that use the concept of Artificial Intelligence (AI). Vehicular Ad Hoc Network (VANET) is a subset of Mobile Ad Hoc Network (MANET) that allows vehicles to communicate with one another and the Road Side Unit (RSU). VANET has been a game … …Journal of Computer Science, Vol. 19, Issue 9 · 26 Aug 2023 · 5,746 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Scalable Big Data Framework for Real-Time Traffic Monitoring SystemWilfried Yves Hamilton Adoni, Najib Ben Aoun et al.Inthis study, a scalable and real-time intelligent transportation system based ona big data framework is presented. The proposed system allows for the use ofexisting data from road sensors to better understand traffic flow, and travelerbehavior and increase road network performance. Our transportation system isdesigned to process large-scale stream data to analyze traffic events such asincidents, crashes, and congestion. The experiments … …Journal of Computer Science, Vol. 18, Issue 9 · 7 Sep 2022 · 6,791 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimized Earthquake Evacuation Routes Using Dijkstra's Algorithm and WinQSBSandra Huarcaya Gonzales, Hugo Vega-Huerta, Gisella Luisa Elena Maquen-Niño et al.This research analyzes and generates optimal evacuation routes in the Barranco district during earthquake scenarios using the Dijkstra algorithm implemented through WinQSB. A preliminary review was conducted to establish key concepts related to earthquake dynamics, evacuation route planning, and the application of Dijkstra’s algorithm. Given its high seismic exposure and the prevalence of aging infrastructure, Barranco is considered highly vulnerable … …Journal of Computer Science, Vol. 21, Issue 10 · 9 Dec 2025 · 2,851 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Reliability of Routing Protocols as an Important Factor for Road Safety Applications in VANET-based Autonomous CarsAnanto Tri Sasongko, Grafika Jati, Bob Hardian, Wisnu JatmikoThe autonomous cars are considered as a tremendous disruptive innovation in the coming years. They enable a driving automation system to replace human drivers to control the vehicle with better recognition, decision and driving skills and ultimately enhance the road users’ experience and traffic safety. They can communicate with other cars as they are ready with the Vehicle to Vehicle … …Journal of Computer Science, Vol. 16, Issue 6 · 15 Jun 2020 · 7,420 accessesView PDFCite
Research ArticleOpen accessIn the abstractNewcastle Traffic Classification Using Clustering AlgorithmsHamad B Matar, Talal Almutairi, Nayef Z Al-MutairiThe urban road traffic network evolution is complex and varies depend on road type, zoning types and social activities. Typical traffic pattern variation of road network could be examined by considering the daily human travel activities. Thus, factor and cluster analysis is carried out. This paper is a comparative analysis of various Data Mining clustering methods for the grouping of … …American Journal of Engineering and Applied Sciences, Vol. 13, Issue 2 · 4 Apr 2020 · 7,214 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstablishing an Evacuation Network: A Path Ranking ApproachHoussein Alaeddine, Kamal Serrhini, Mindjid Maizia, Emmanuel NéronThe evacuation of population exposed to flood hazard requires the establishment of a specific transportation network. This is to compute escape routes to be taken by affected population. At evacuation time, inhabitants of affected area must be evacuated through transportation network to safety area. The main objective of this work is to provide assistance to rescue forces in terms of … …Journal of Computer Science, Vol. 15, Issue 12 · 3 Dec 2019 · 7,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Traffic Routing System using VANet Strategy Combined with a Distributed Swarm Intelligence OptimizationElgarej Mouhcine, Khalifa Mansouri, Youssfi MohamedProposing an efficient strategy to reduce traffic congestion is an essential step towards improvement as we take into consideration the unpredictable and dynamic infrastructure of the road network. With the advances in computing technologies and communications protocols, we can retrieve any type of data and receive in real-time the state of traffic congestion at each road using Electronic Toll Collection … …Journal of Computer Science, Vol. 14, Issue 11 · 12 Nov 2018 · 7,592 accessesView PDFCite
Research ArticleOpen accessIn the abstractGIS-Based Optimal Site Selection for Installation of Large-Scale Smart Grid-Connected Photovoltaic (PV) Power Plants in Selangor, MalaysiaSabo Mahmoud Lurwan, Mohammed Oludare Idrees, Goma Bedawi Ahmed et al.This study presents a GIS-based model to identify optimal sites to install large-scale smart grid-connected Photovoltaic (PV) power plants. Input datasets include digital elevation model, road networks, grid lines and daily average solar radiation. Using multi-criteria decision-making approach, we set constraining conditions for slope, proximity to the road, proximity to grid lines, solar radiation and land use to optimize the … …American Journal of Applied Sciences, Vol. 14, Issue 1 · 30 Jan 2017 · 8,783 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparison between Different Data Mining Algorithms in Freight Mode ChoiceAmir Samimi, Hesamoddin Razi-Ardakani, Amir NohekhanThis research aims to study application of support vector machine algorithm, artificial neural networks and five different types of decision trees in predicting mode choice of freight transportation. Performance of these models has been compared with log it model which is one the most prevalent statistical models in the field. Effect of factors such as cargo weight, distance, type and … …American Journal of Applied Sciences, Vol. 14, Issue 2 · 5 Feb 2017 · 7,623 accessesView PDFCite