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324 results for “Traffic”
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Research ArticleOpen accessEvery word in the titleDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 413 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleIntelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in IndonesiaBhustomy Hakim, Fergie Joanda Kaunang, Yemima Monica Geasela, Regina HillaryTraffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study aims to develop an intelligent traffic light system that dynamically adjusts sequencing based on real-time road conditions. A dataset of 902 CCTV images was collected from intersections in six large cities across Indonesia, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,155 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMachine Learning-Based Traffic Prediction in 4G LTE Networks. Case Study of a Mobile Operator in CameroonEric Michel Deussom Djomadji, Valery Nkemeni et al.Mobile subscribers are increasingly demanding the availability of broadband services while the radio resources allowing them to be connected are limited. Understanding mobile Internet consumption trends and subscriber traffic demands is essential to enable the management of existing radio resources. However, it can be difficult to understand and describe the data usage patterns of mobile users because of the complexity … …American Journal of Engineering and Applied Sciences, Vol. 18, Issue 1 · 1 Mar 2025 · 8,728 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleRF-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 accessEvery word in the titleA Fuzzy Logic-Based Smart Traffic Management SystemsAdel Abdallah Abdou, Mohamed Hassan Farrag, A. S. TolbaTraffic congestion is a serious problem in many developing countrieslike Egypt. In the presence of thetraditional traffic light system, it creates health risks, wastes time andfuel, and pollutes the air. Therefore, there is a big need for a smart trafficmanagement system. This study contributes in solving this problem byintroducing an artificial intelligence-based smart traffic light system usingfuzzy logic to ensure … …Journal of Computer Science, Vol. 18, Issue 11 · 24 Nov 2022 · 7,180 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA 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 accessEvery word in the titleCauses of Traffic Congestion; a Study of Owerri Municipal Area of IMO StateSylvanus Iro, Edith Chinwe Pat-MbanoThis research is concerned with the causes of road traffic congestion, a study of Owerri municipal. To achieve this, data was from primary and secondary sources. Primary data was from questionnaires while the secondary data were from journals and previous academic works of other researchers. The survey method of research was adopted for this study. Taro Yemane's method of calculating … …American Journal of Environmental Sciences, Vol. 18, Issue 3 · 20 Jul 2022 · 7,095 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEmerging Technologies for Driving Road Safety and Traffic Management for Urban AreaYogesh Golhar, Manali KshirsagarThe on-road traffic increases due to the exponential growth of the number of vehicles on the road. That leads to undesirable road conditions and makes urban population life uncomfortable. It includes traffic congestion, traffic jams and long queues at traffic signals and toll booths. Many people violate road traffic rules and regulations rules every day. Manual human effort and supervision … …Journal of Computer Science, Vol. 17, Issue 11 · 30 Nov 2021 · 6,444 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleImproving the Traffic Flow in Hot Arid Climate Areas by Implementing a Monorail Light Rail Transit System: Case of KuwaitTaha Ahmed, Mohamed Salem, Ahmad Saad, Abdel Rahman AlaqqadThis study investigated the viability of establishing a monorail network system in Kuwait as an additional means of transportation to the current transportation systems. Two critical areas with high traffic demands were identified through the collected traffic data at the major intersections in these areas., These areas were Kuwait City (near the ministries area) and Al-Blajat street (known as the … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 1 · 24 Jan 2021 · 7,059 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCollision Avoidance Modelling in Airline Traffic Based on the Change of Airplane Movements and Dynamic CloudsYudhi Purwananto, Chastine Fatichah, Waskitho Wibisono et al.An Air Traffic Controller (ATC) system aims to manage airline traffic to prevent collision of the airplane, called the Collision Avoidance (CA). The study on CA, called Conflict Detection and Resolution (CDR), becomes more critical as the airline traffic has grown each year significantly. Previous studies used optimization algorithms for CDR and did not involve the presence of cumulonimbus clouds. … …Journal of Computer Science, Vol. 17, Issue 1 · 20 Jan 2021 · 7,237 accessesView PDFCite