Adil Mushtaq¹, Muhammad Nadeem Majeed¹, Farhan Aadil², Muhammad Fahad Khan², Sangsoon Lim^3,*

CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3795-3814, 2021, DOI:10.32604/cmc.2021.015369 - 01 March 2021

Abstract Body Area Networks (BODYNETs) or Wireless Body Area Networks (WBAN), being an important type of ad-hoc network, plays a vital role in multimedia, safety, and traffic management applications. In BODYNETs, rapid topology changes occur due to high node mobility, which affects the scalability of the network. Node clustering is one mechanism among many others, which is used to overcome this issue in BODYNETs. There are many clustering algorithms used in this domain to overcome this issue. However, these algorithms generate a large number of Cluster Heads (CHs), which results in scarce resource utilization and degraded… More >

Thavavel Vaiyapuri¹, Sachi Nandan Mohanty², M. Sivaram³, Irina V. Pustokhina⁴, Denis A. Pustokhin⁵, K. Shankar^6,*

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1881-1897, 2021, DOI:10.32604/cmc.2021.014924 - 05 February 2021

Abstract The latest advancements in highway research domain and increase inthe number of vehicles everyday led to wider exposure and attention towards the development of efficient Intelligent Transportation System (ITS). One of the popular research areas i.e., Vehicle License Plate Recognition (VLPR) aims at determining the characters that exist in the license plate of the vehicles. The VLPR process is a difficult one due to the differences in viewpoint, shapes, colors, patterns, and non-uniform illumination at the time of capturing images. The current study develops a robust Deep Learning (DL)-based VLPR model using Squirrel Search Algorithm… More >

Masood Ahmad¹, Abdul Hameed², Fasee Ullah^3,*, Ishtiaq Wahid¹, Atif Khan⁴, M. Irfan Uddin⁵, Shafiq Ahmad⁶, Ahmed M. El-Sherbeeny⁶

CMC-Computers, Materials & Continua, Vol.67, No.2, pp. 1353-1368, 2021, DOI:10.32604/cmc.2021.014237 - 05 February 2021

Abstract Clustering algorithms optimization can minimize topology maintenance overhead in large scale vehicular Ad hoc networks (VANETs) for smart transportation that results from dynamic topology, limited resources and non-centralized architecture. The performance of a clustering algorithm varies with the underlying mobility model to address the topology maintenance overhead issue in VANETs for smart transportation. To design a robust clustering algorithm, careful attention must be paid to components like mobility models and performance objectives. A clustering algorithm may not perform well with every mobility pattern. Therefore, we propose a supervisory protocol (SP) that observes the mobility pattern… More >

Abdullah Alamri^1,*, Sultan Alamri²

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 441-452, 2021, DOI:10.32604/iasc.2021.015198 - 18 January 2021

Abstract The COVID-19 pandemic has presented an unprecedented challenge to the entire world. It is a humanitarian crisis on a global scale. The virus continues to spread throughout nations, putting health systems under enormous pressure in the battle to save lives. With this growing crisis, companies and researchers worldwide are searching for ways to overcome the challenges associated with this virus. Also, the transport sector will play a critical role in revitalizing economies while simultaneously containing the spread of COVID-19. As the virus is still circulating, the only solution is to redesign public transportation to make More >

Changli Lu¹, Ming Zhao^1,2, Imran Khan³, Peerapong Uthansakul^4,*

CMC-Computers, Materials & Continua, Vol.66, No.2, pp. 1511-1528, 2021, DOI:10.32604/cmc.2020.012556 - 26 November 2020

Abstract The environmental impact of maritime transport has now become a relevant issue in sustainable policy formulation and has attracted increasing interest from academia. For the sustainable development of maritime transport, International Maritime Organization stipulates that the sulfur content of ship emissions will reach 0.5 from 2020. With the approaching of the stipulated implementation date, shipowners need to adopt scientific methods to make decision on low sulfur fuel. In this study, we applied a prospect theory based hesitant fuzzy multi-criteria decision-making model to obtain the optimal decision of low Sulphur marine fuel. For this purpose, the… More >

Yang Tang^1,*, Weiwei Liu¹, Yihao He¹, Yuelin Zhang², Fulong Zhang²

Journal on Internet of Things, Vol.2, No.3, pp. 101-107, 2020, DOI:10.32604/jiot.2020.010108 - 16 September 2020

Abstract Public bicycle service has experienced 15 years of development in Chinese cities, and mainland China is the world's largest public bicycle market. Choosing to use public bicycles is becoming more and more a daily habit of residents. Broadly speaking, public bicycles in Chinese cities include both public bikes with service stations and shared bicycles without service stations. Based on historical review and years of accumulated data, this paper reviews the development of general public bicycles in Chinese cities in the past 15 years. And the role of general public bicycles in China’s urban transportation system More >

Weiwei Liu¹, Yang Tang², Fei Yang², Chennan Zhang¹, Dun Cao³, Gwang-jun Kim^{4, *}

CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2511-2527, 2020, DOI:10.32604/cmc.2020.09113 - 16 September 2020

Abstract Intelligent Transportation System (ITS) is essential for effective identification of vulnerable units in the transport network and its stable operation. Also, it is necessary to establish an urban transport network vulnerability assessment model with solutions based on Internet of Things (IoT). Previous research on vulnerability has no congestion effect on the peak time of urban road network. The cascading failure of links or nodes is presented by IoT monitoring system, which can collect data from a wireless sensor network in the transport environment. The IoT monitoring system collects wireless data via Vehicle-to-Infrastructure (V2I) channels to… More >

Bai Yan^*

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 539-547, 2020, DOI:10.32604/iasc.2020.013931

Abstract The traditional view is that due to the natural monopoly and external publicity of the railway transportation, the economic regulation should have been implemented. However, due to the inaccurate grasp of the technical and economic characteristics of various components in the system and the current social and economic situation in China, the economic regulation has been implemented for a long time. Based on a detailed analysis of the characteristics of the railway transportation infrastructure and the market characteristics of the road transportation products, combined with China's actual national conditions, the economic regulation schemes for each… More >

Muhammad Waqas^{1, 2}, Shanshan Tu^{1, 3, *}, Sadaqat Ur Rehman¹, Zahid Halim², Sajid Anwar², Ghulam Abbas², Ziaul Haq Abbas⁴, Obaid Ur Rehman⁵

CMC-Computers, Materials & Continua, Vol.64, No.1, pp. 359-371, 2020, DOI:10.32604/cmc.2020.09821 - 20 May 2020

Abstract Security threats to smart and autonomous vehicles cause potential consequences such as traffic accidents, economically damaging traffic jams, hijacking, motivating to wrong routes, and financial losses for businesses and governments. Smart and autonomous vehicles are connected wirelessly, which are more attracted for attackers due to the open nature of wireless communication. One of the problems is the rogue attack, in which the attacker pretends to be a legitimate user or access point by utilizing fake identity. To figure out the problem of a rogue attack, we propose a reinforcement learning algorithm to identify rogue nodes More >

Honghao Gao^{1, 2, 5}, Wanqiu Huang^{1, 4}, Xiaoxian Yang³

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 547-559, 2019, DOI:10.31209/2019.100000110

Abstract Path planning is an important topic of research in modern intelligent traffic systems (ITSs). Traditional path planning methods aim to identify the shortest path and recommend this path to the user. However, the shortest path is not always optimal, especially in emergency rescue scenarios. Thus, complex and changeable factors, such as traffic congestion, road construction and traffic accidents, should be considered when planning paths. To address this consideration, the maximum passing probability of a road is considered the optimal condition for path recommendation. In this paper, the traffic network is abstracted as a directed graph.… More >