Article
Biotechnology & Applied Microbiology
Kangjing Shi, Li Huang, Du Jiang, Ying Sun, Xiliang Tong, Yuanming Xie, Zifan Fang
Summary: This article proposes an improved genetic and ant colony hybrid algorithm to address the problem of unsmooth path planning for intelligent vehicles. By improving the heuristic function in the ant colony optimization algorithm and making adaptations to the fitness function, crossover factor, mutation factor, and other aspects of the genetic algorithm, the improved hybrid algorithm achieves optimized new populations. Simulation and physical experiments demonstrate the effectiveness of the improved hybrid algorithm, reducing the average number of turns in simple and complex grids.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Article
Engineering, Civil
Gunasekaran Manogaran, Mamoun Alazab
Summary: The article introduces a method called the ant-inspired recurrent learning model (ARLM) aimed at maximizing the navigation service response rate of vehicles through forward and backward ant agents and recurrent learning, and reducing sensing and response time through conditional verification.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Artificial Intelligence
Ayah Helal, Fernando E. B. Otero
Summary: This paper presents a new ACO-based algorithm for data stream classification called sAnt-Miner. By using a hybrid pheromone model, sAnt-Miner efficiently handles mixed-type attributes and reduces computational time, while maintaining high predictive accuracy.
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS
(2022)
Article
Automation & Control Systems
Fan Zhou, Qing Yang, Ting Zhong, Dajiang Chen, Ning Zhang
Summary: This article presents a novel Bayesian framework for traffic forecasting and demonstrates its superiority over traditional methods through extensive experiments.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Interdisciplinary Applications
Hyesop Shin, Mike Bithell
Summary: Non-exhaust emissions from brake and tyre wear have detrimental health effects. The study found that pedestrians who commuted for longer periods of time and were exposed to more ambient particles experienced significant health losses. Implementing a 90% vehicle restriction reduced PM10 and the percentage of at-risk drivers. Using an agent-based traffic simulator provided insights into the relationship between exposure and health effects.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2023)
Article
Computer Science, Artificial Intelligence
Sijia Wang, Kun Jiang, Junjie Chen, Mengmeng Yang, Zheng Fu, Tuopu Wen, Diange Yang
Summary: This article researches visual skeleton-based recognition of traffic commands and proposes a two-stage recognition framework. A dataset called Chinese Traffic Command at Intersections (CTCX) is built for training and validation. The proposed method achieves high accuracy in recognizing traffic commands based on body orientation and gestures.
Article
Operations Research & Management Science
Alan J. Maniamkot, P. N. Ram Kumar, Mohan Krishnamoorthy, Hamid Mokhtar, Sridharan Rajagopalan
Summary: This paper proposes a hybridised ant colony algorithm to solve the convoy movement problem, which combines a local search procedure with the ant colony optimisation. It can effectively handle large and dense instances, and obtain reasonable solutions. Furthermore, the importance of using a good seed solution for algorithm initialization is also emphasized.
ANNALS OF OPERATIONS RESEARCH
(2022)
Article
Automation & Control Systems
Catalin Dimon, Marius Teme, Dumitru Popescu
Summary: This paper investigates the issue of traffic congestion in urban areas and proposes a method to reduce congestion by improving traffic light cycles. By comparing fixed and improved cycles, as well as using a QL algorithm to further reduce congestion at intersections, the feasibility of optimizing urban traffic to reduce congestion on existing traffic light systems is validated.
INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL
(2022)
Article
Computer Science, Artificial Intelligence
Krishnasamy Ragavan, Krishnan Venkatalakshmi, Kandasamy Vijayalakshmi
Summary: The paper proposes an intelligent traffic control system using the Internet of Vehicles to address road traffic congestion issues caused by urbanization and population growth. By applying Ant Colony Algorithm and Support Vector Machine, the system can find optimal routes and calculate traffic density, improving route selection accuracy and performance.
COMPUTATIONAL INTELLIGENCE
(2021)
Article
Computer Science, Artificial Intelligence
Ahmed Tijani Salawudeen, Ime Jarlath Umoh, Bashir Olaniyi Sadiq, Olubukola Ishola Oyenike, Muhammed Bashir Mu'azu
Summary: This paper presents an improved lane detection algorithm using an adaptive ant colony optimisation (aACO) based edge detection technique. The algorithm can detect lane lines better than the Canny edge detector, irrespective of any occlusion in the lane images.
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION
(2022)
Review
Green & Sustainable Science & Technology
Wei Ji, Shengnan Yu, Zefang Shen, Min Wang, Gang Cheng, Tiantong Yang, Quan Yuan
Summary: The rapid development of the ICV industry has led to technological innovation and raised concerns about effective policies and road safety measures. This paper uses a knowledge mapping approach to analyze research on road safety issues in the context of ICVs over the past decade.
Review
Engineering, Multidisciplinary
Jiayan Zheng, Junyi Tang, Zhixiang Zhou, Junlin Heng, Xi Chu, Tong Wu
Summary: Traffic load is a crucial factor in determining the performance and deterioration behavior of bridges. This paper introduces state-of-the-art approaches for traffic load cognition on road bridges, including in-site measurement and data-driven simulation. It reviews statistical analysis techniques for determining the spatial-temporal factors of vehicles and various measurement methods for obtaining essential data of traffic loads. The paper also discusses simulation models for traffic loads and reviews microscopic models for on-bridge traffic flow. The study highlights the application of intelligent cognition methods in identifying and simulating traffic loads on road bridges.
Article
Acoustics
Jeffrey Peng, Jeffrey Parnell, Nicole Kessissoglou
Summary: This study introduces two supplementary noise indicators for road traffic noise, which differentiate between daytime and nighttime noise exposure impacts as well as heavy vehicle and commuter traffic noise. By analyzing these indicators, spatial variability of light and heavy vehicle traffic composition across urban and rural parts of a state road network in Australia is presented.
Article
Computer Science, Artificial Intelligence
Jing Liu, Sreenatha Anavatti, Matthew Garratt, Hussein A. Abbass
Summary: A multi-operator continuous Ant Colony Optimisation (MACO(R)) algorithm is proposed in this paper, which selects suitable operators based on historical performance and population status to improve search accuracy. Experimental results demonstrate the superiority of the proposed algorithm on real-world problems and investigate the impacts of multi-operator framework and different operator combinations on algorithm performance.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Computer Science, Artificial Intelligence
Dimitra Trachanatzi, Manousos Rigakis, Magdalene Marinaki, Yannis Marinakis
Summary: This research addresses a challenging problem in emergency response, namely how to effectively protect crucial community assets under temporal and spatial constraints. By introducing the Modified Ant Colony System algorithm, superior solutions can be achieved within operational time limits.
SWARM AND EVOLUTIONARY COMPUTATION
(2022)
Article
Computer Science, Information Systems
Kwasi A. Opare, Yujun Kuang, Jerry J. Kponyo
IEEE WIRELESS COMMUNICATIONS LETTERS
(2015)
Article
Engineering, Electrical & Electronic
Parfait I. Tebe, Yujun Kuang, Affum E. Ampoma, Kwasi A. Opare
IEICE TRANSACTIONS ON COMMUNICATIONS
(2018)
Article
Engineering, Electrical & Electronic
Parfait I. Tebe, Yujun Kuang, Affum E. Ampoma, Kwasi A. Opare
IEICE TRANSACTIONS ON COMMUNICATIONS
(2018)
Proceedings Paper
Computer Science, Theory & Methods
J. J. Kponyo, K. S. Nwizege, K. A. Opare, A-R Ahmed, H. Hamdoun, L. O. Akazua, S. Alshehri, H. Frank
2ND INTERNATIONAL CONFERENCE ON SYSTEMS INFORMATICS, MODELLING AND SIMULATION (SIMS 2016)
(2016)
Proceedings Paper
Engineering, Electrical & Electronic
Parfait I. Tebe, Yujun Kuang, Kwasi A. Opare, Jerry J. Kponyo
2015 SEVENTH INTERNATIONAL CONFERENCE ON UBIQUITOUS AND FUTURE NETWORKS
(2015)
Proceedings Paper
Computer Science, Information Systems
Parfait I. Tebe, Yujun Kuang, Kwasi A. Opare, Jerry J. Kponyo
2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION, NETWORKS AND SATELLITE (COMNESTAT)
(2015)
Proceedings Paper
Computer Science, Information Systems
Kwasi A. Opare, Yujun Kuang, Jerry J. Kponyo, Kenneth S. Nwizege, Zhang Enzhan
2015 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION TECHNOLOGIES ACCT 2015
(2015)
Proceedings Paper
Computer Science, Information Systems
Kwasi A. Opare, Yujun Kuang, Jerry J. Kponyo, Kenneth S. Nwizege, Parfait I. Tebe
2015 5TH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING & COMMUNICATION TECHNOLOGIES ACCT 2015
(2015)
Proceedings Paper
Engineering, Electrical & Electronic
Kwasi A. Opare, Yujun Kuang
2014 INTERNATIONAL CONFERENCE ON TELECOMMUNICATIONS AND MULTIMEDIA (TEMU)
(2014)