Article
Chemistry, Multidisciplinary
Hyungkyu Kim, Doyoung Jung
Summary: By using engineering judgment and considering traffic accident rate, roadside development, and geometric characteristics, optimal speed limits were determined for one-way roads with two or more lanes in Seoul, which were approximately 10 km/h lower than the current speed limit.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Artificial Intelligence
Kresmir Kusic, Rene Schumann, Edouard Ivanjko
Summary: The introduction of digital twins is expected to fundamentally change transportation technology by monitoring the entire lifecycle of the transport system. This article focuses on microscopic motorway simulation with real-time data integration, proposing a paradigm shift in motorway traffic modeling. The simulation results provide a basis for future real-time analysis and predictive analytics in traffic management.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Computer Science, Hardware & Architecture
Wenya Li, C. Karthik, M. Rajalakshmi
Summary: The fast expansion of the Internet of Things (IoT) offers great promise in the wellness sector, particularly in sports fitness tracking. By utilizing IoT technology, it is possible to monitor real-time physical variables and sports data, transmit the data over the internet, and achieve cost savings and efficiency improvements.
COMPUTERS & ELECTRICAL ENGINEERING
(2022)
Article
Computer Science, Information Systems
Ziyuan Pu, Zhiyong Cui, Jinjun Tang, Shuo Wang, Yinhai Wang
Summary: Traffic speed is a critical indicator reflecting traffic status, with control systems adjusting signal timing plans based on its variations. This study proposes a method to estimate real-time multimodal traffic speed on road networks covered by Wi-Fi and Bluetooth sensors, taking into account the multimodal nature of urban transportation.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Engineering, Civil
Mengyuan Fang, Luliang Tang, Xue Yang, Yang Chen, Chaokui Li, Qingquan Li
Summary: Short-term traffic prediction is crucial for managing traffic congestion in major cities worldwide. This study introduces a novel method that predicts traffic information at the turn level, improving prediction accuracy.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Green & Sustainable Science & Technology
Juraj Vertlberg, Marijan Jakovljevic, Marko Sevrovic, Kamer Shabanaj
Summary: Speed display radars are effective engineering solutions to reduce traffic speed and decrease the number of speed limit violators. A before and after study conducted in Croatia showed a statistically significant difference in the 85th percentile hourly speeds after the installation of speed display radars at six locations. The research collected a total of 182,352 speeds of recorded vehicles, providing evidence of the positive impact of speed display radars on reducing vehicles' speeds.
Article
Computer Science, Information Systems
Siham Yousfi, Dalila Chiadmi, Maryem Rhanoui
Summary: This paper presents a smart framework that aims to improve the quality of analytical results by integrating big data. The framework focuses on two main concerns of big data integration, namely data completeness and data veracity, and has been implemented in urban and highway traffic management systems.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Review
Computer Science, Information Systems
Xingyu Chen, Bin Liu
Summary: This paper summarizes the methods and application scenarios of tumor big data visualization, and introduces relevant data visualization websites and software. The paper points out that tumor big data visualization is a key part of tumor big data development, which can show the key information in large data and facilitate information reception by the human brain. Additionally, the paper analyzes the existing problems in tumor big data visualization, and proposes future directions.
Article
Engineering, Civil
Mohamed Abdel-Aty, Ou Zheng, Yina Wu, Amr Abdelraouf, Heesub Rim, Pei Li
Summary: This paper introduces a web-based proactive traffic safety management and real-time big data visualization tool that utilizes big data and data-driven analysis for traffic management. The system provides features such as real-time crash prediction, CCTV-based detection, and safety recommendations based on real-time traffic data, weather data, and video streams. The system outputs are visualized using interactive maps and figures to efficiently reveal hidden patterns, and the evaluation results show excellent prediction performance.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS
(2023)
Article
Computer Science, Information Systems
Y. Naitmalek, M. Najib, M. Bakhouya, J. Gaber, M. Essaaidi
Summary: Efforts in sustainable development, particularly in the energy sector, have led to the development of infrastructures for renewable energy production and the growth of electric vehicles. However, the unpredictability of electric vehicle speeds on roads can impact power demand prediction.
Article
Computer Science, Software Engineering
Wenbo Tao, Xinli Hou, Adam Sah, Leilani Battle, Remco Chang, Michael Stonebraker
Summary: The article discusses the challenges of static scatterplots on large datasets and the use of zooming to address these issues. It introduces scalable scatterplot visualizations (SSV) and presents Kyrix-S system for easy authoring of SSVs at scale.
IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
(2021)
Article
Chemistry, Analytical
Jongtae Lim, Songhee Park, Dojin Choi, Kyoungsoo Bok, Jaesoo Yoo
Summary: This paper proposes a machine-learning-based road speed prediction scheme that utilizes road environment data analysis. It accurately predicts both average road speed and rapidly changing road speeds by analyzing speed data from the target road and neighboring roads. It considers historical average speed data and events as weights for prediction and uses the LSTM algorithm for sequential data learning.
Article
Computer Science, Artificial Intelligence
Iqra Shahzad, Ayesha Maqbool, Tauseef Rana, Alina Mirza, Wazir Zada Khan, Sung Won Kim, Yousaf Bin Zikria, Sadia Din
Summary: The rise of IoT has led to the generation of large amounts of data, posing a challenge for effective handling and analysis. Existing cloud-based Big Data visualization frameworks are costly, hence the need for a green solution like BGbV, which utilizes Blockchain technology to optimize resource utilization and reduce costs while ensuring security and data availability.
COMPLEX & INTELLIGENT SYSTEMS
(2022)
Article
Engineering, Civil
Xianwei Meng, Hao Fu, Liqun Peng, Guiquan Liu, Yang Yu, Zhong Wang, Enhong Chen
Summary: This paper studies the problem of short-term traffic speed prediction based on GPS positioning data and proposes a D-LSTM model with Dynamic Time Warping and attention mechanism. The experiments show that this model performs well in various traffic speed prediction problems with different time intervals, especially on weekends.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Computer Science, Information Systems
Yan Zheng, Yi Ou, Alexander Lex, Jeff M. Phillips
Summary: The size of large, geo-located datasets has reached a scale where visualization of all data points is inefficient, leading to the need for subsampling methods. This study introduces a spatial data subsampling method suitable for very large datasets, showing it to be more accurate than random sampling. Additionally, a method is presented to ensure that the truncation of low values in the sampled data does not omit any regions above the desired threshold.
IEEE TRANSACTIONS ON BIG DATA
(2021)
Review
Engineering, Electrical & Electronic
Ashish R. Kulkarni, Narendra Kumar, K. Ramachandra Rao
Summary: The three-colour four-way traffic light celebrated its 100th anniversary in 2020. Research has been continuously conducted to improve algorithms for safety, travel efficiency, and road capacity optimization. This article provides a comprehensive review on the evolution of traffic lights, covering the literature, hardware, algorithms, control schemes, standards, and pedestrian lights. The article also highlights future research areas and presents a summary of the findings. Rating: 7/10
IETE TECHNICAL REVIEW
(2023)
Proceedings Paper
Computer Science, Theory & Methods
Antriksh Mangal, Anirudh Goyal, A. R. Kulkarni
2020 IEEE INTERNATIONAL IOT, ELECTRONICS AND MECHATRONICS CONFERENCE (IEMTRONICS 2020)
(2020)
Proceedings Paper
Energy & Fuels
Tanmay Mishra, Ambrish Devanshu, Narendra Kumar, Ashish R. Kulkarni
PROCEEDINGS OF THE FIRST IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, INTELLIGENT CONTROL AND ENERGY SYSTEMS (ICPEICES 2016)
(2016)
Proceedings Paper
Computer Science, Theory & Methods
Ashish Kulkarni, Narendra Kumar, Ramachandra Rao Kalaga
2015 5TH NATIONAL SYMPOSIUM ON INFORMATION TECHNOLOGY: TOWARDS NEW SMART WORLD (NSITNSW)
(2015)