Emad Felemban¹, Sultan Daud Khan², Atif Naseer³, Faizan Ur Rehman^4,*, Saleh Basalamah¹

CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 705-725, 2021, DOI:10.32604/cmc.2021.015085 - 22 March 2021

Abstract In high-density gatherings, crowd disasters frequently occur despite all the safety measures. Timely detection of congestion in human crowds using automated analysis of video footage can prevent crowd disasters. Recent work on the prevention of crowd disasters has been based on manual analysis of video footage. Some methods also measure crowd congestion by estimating crowd density. However, crowd density alone cannot provide reliable information about congestion. This paper proposes a deep learning framework for automated crowd congestion detection that leverages pedestrian trajectories. The proposed framework divided the input video into several temporal segments. We then More >

Andrea Sant¹, Lalit Garg^1,*, Peter Xuereb¹, Chinmay Chakraborty²

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3523-3544, 2021, DOI:10.32604/cmc.2021.015265 - 01 March 2021

Abstract The better management of resources and the potential improvement in traffic congestion via reducing the orbiting time for parking spaces is crucial in a smart city, particularly those with an uneven correlation between the increase in vehicles and infrastructure. This paper proposes and analyses a novel green IoT-based Pay-As-You-Go (PAYG) smart parking system by utilizing unused garage parking spaces. The article also presents an intelligent system that offers the most favorable prices to its users by matching private garages’ pricing portfolio with a garage’s current demand. Malta, the world’s fourth-most densely populated country, is considered More >

Shan Chun¹, Xiaolong Chen², Guoqiang Deng^3,*, Hao Liu⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 1203-1216, 2021, DOI:10.32604/cmes.2021.012230 - 19 February 2021

Abstract The important issues of network TCP congestion control are how to compute the link price according to the link status and regulate the data sending rate based on link congestion pricing feedback information. However, it is difficult to predict the congestion state of the link-end accurately at the source. In this paper, we presented an improved NUMFabric algorithm for calculating the overall congestion price. In the proposed scheme, the whole network structure had been obtained by the central control server in the Software Defined Network, and a kind of dual-hierarchy algorithm for calculating overall network… More >

S. Praveen Kumar^1,*, S. Appavu alias Balamurugan², S. Kannan³

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 333-346, 2021, DOI:10.32604/iasc.2021.013310 - 18 January 2021

Abstract The establishment of multi-channel routing systems in WSNs has shown the reliability of the transmission across several channels. Meeting the service quality needs of all the applications is still a challenging task. Various surveys carried out, have suggested for the development of user-oriented Wireless Sensor Network (WSN) architectures. Throughout WSNs, the Optimized Link State Routing (OLSR) and the Adhoc On Demand Vector (AODV) are the multi-way routing systems that exhibit the reliability of the multipath delivery to fulfill the customer service quality requirements. The topology is modified only on requests, by selecting the best route… More >

Sabeen Tahir^*, Sheikh Tahir Bakhsh, Rayed AlGhamdi

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 733-749, 2021, DOI:10.32604/cmc.2020.013261 - 30 October 2020

Abstract Medical Internet of Things (MIoTs) is a collection of small and energyefficient wireless sensor devices that monitor the patient’s body. The healthcare networks transmit continuous data monitoring for the patients to survive them independently. There are many improvements in MIoTs, but still, there are critical issues that might affect the Quality of Service (QoS) of a network. Congestion handling is one of the critical factors that directly affect the QoS of the network. The congestion in MIoT can cause more energy consumption, delay, and important data loss. If a patient has an emergency, then the… More >

Yi-Chih Hsieh¹, Peng-Sheng You^2,*

Intelligent Automation & Soft Computing, Vol.26, No.4, pp. 703-713, 2020, DOI:10.32604/iasc.2020.010104

Abstract In this study we present a generalized museum visitor routing problem considering the preferences and congestion of multiple groups with each group having its own must-see and select-see exhibition rooms based on their preferences in exhibits. The problem aims to minimize the makespan of all groups. An effective encoding scheme is proposed to simultaneously determine the scheduling of exhibition rooms for all groups and an immune-based algorithm (IBA) is developed. Numerical results, compared with those of a genetic algorithm and particle swarm optimization, on a museum in Taiwan are reported and discussed to show the More >

Ting Xu¹, Ming Zhao¹, Xin Yao^{1, *}, Kun He²

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1605-1624, 2020, DOI:10.32604/cmc.2020.011458 - 20 August 2020

Abstract With the expansion of the application range and network scale of wireless sensor networks in recent years, WSNs often generate data surges and delay queues during the transmission process, causing network paralysis, even resulting in local or global congestion. In this paper, a dynamically Adjusted Duty Cycle for Optimized Congestion based on a real-time Queue Length (ADCOC) scheme is proposed. In order to improve the resource utilization rate of network nodes, we carried out optimization analysis based on the theory and applied it to the adjustment of the node’s duty cycle strategy. Using this strategy… More >

Liwei Tian^{1, 2, *}, Jinfeng Li³, Longqing Zhang², Yu Sun⁴, Lei Yang²

CMC-Computers, Materials & Continua, Vol.62, No.1, pp. 233-244, 2020, DOI:10.32604/cmc.2020.06135

Abstract The wireless network is limited by the transmission medium, and the transmission process is subject to large interference and jitter. This jitter can cause sporadic loss and is mistaken for congestion by the congestion control mechanism. The TCP Westwood protocol (referred to as TCPW) is such that it cannot distinguish between congestion loss and wireless jitter loss, which makes the congestion mechanism too sensitive and reduces bandwidth utilization. Based on this, the TCPW protocol is modified based on the estimate of the Round-Trip Time (referred to as RTT) value-called TCPW BR. The algorithm uses the More >

Khaled Belhassine^1,3, Jacques Renaud^1,2,3, Leandro Coelho^1,2,3,4, Jean-Philippe Gagliardi⁵

Revue Internationale de Géomatique, Vol.29, No.2, pp. 207-230, 2019, DOI:10.3166/rig.2019.00090

Abstract Dans cet article, nous présentons une analyse spatiotemporelle des tournées de livraison à domicile d’une entreprise d’électroménagers qui détient sa propre flotte de véhicules. Plusieurs millions d’observations de géolocalisation GPS issues de ces tournées de livraison sont collectées, traitées et assignées au réseau routier. À la suite de ces analyses spatio-temporelles, nous développons des calendriers quotidiens d’indices de congestion en fonction de l’heure. Des ratios de congestion sectoriels sont calculés afin de déterminer les meilleures heures de départ de livraison tout en évitant la congestion routière. La réduction de la durée des trajets a été More >

Kazuki Abe^*, Hideki Fujii, Shinobu Yoshimura

The International Conference on Computational & Experimental Engineering and Sciences, Vol.21, No.3, pp. 62-62, 2019, DOI:10.32604/icces.2019.05393

Abstract Traffic simulations are utilized as support tools to solve traffic-related problems. Scenario analysis is one of the analysis methodologies with simulation. At the first step of scenario analysis, traffic phenomena in the real world should be reproduced in the simulation world as the baseline. Traffic demand, which can be described as a form of the Origin-Destination (OD) matrix, is an important element in the traffic phenomena, which affects directly to the traffic volume or congestion, but it cannot be observed directly. Whereas some OD estimation methods are proposed, most of them require different route-search models… More >