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Deep Intelligent Prediction Network: A Novel Deep Learning Based Prediction Model on Spatiotemporal Characteristics and Location Based Services for Big Data Driven Intelligent Transportation System
2019
VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE
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The concept of big Data for intelligent transportation system has been employed for traffic management on dealing with dynamic traffic environments. ...
However these traditional solutions brings us unprecedented opportunities to manage transportation data but it is inefficient for building the next-generation intelligent transportation systems as Traffic ...
In order to build an efficient and scalable system for storage and data management, a novel deep intelligent prediction model has envisioned for operation of the large velocity of traffic data along spatiotemporal ...
doi:10.35940/ijitee.k1503.0981119
fatcat:wnyxlv4pvfgfvbti2tcprzqfwu
Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems Empowered by AI Technologies
2019
IEEE transactions on intelligent transportation systems (Print)
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, mobility, and logistics systems • Impact of AI technologies on intelligent transportation systems • Traffic modeling, prediction, management, and control • Enhanced security and safety in transportation ...
The first seven articles introduce studies of AI techniques for intelligent vehicle, and the next seven articles talk about AI techniques for traffic and trajectory prediction problems. ...
Wan A novel end-to-end deep learning model, called ST-3DNet, is proposed for traffic raster data prediction. ...
doi:10.1109/tits.2019.2940856
fatcat:wrvsx6pgyfbjxlgnfekr7g7ovu
IEEE Access Special Section Editorial: Artificial Intelligence (AI)-Empowered Intelligent Transportation Systems
2021
IEEE Access
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EDITORIAL IEEE ACCESS SPECIAL SECTION EDITORIAL: ARTIFICIAL INTELLIGENCE (AI)-EMPOWERED INTELLIGENT TRANSPORTATION SYSTEMS The topic of Artificial Intelligence (AI)-Empowered Intelligent Transportation ...
In the article "A distributed network intrusion detection system for distributed denial of service attacks in vehicular 69492 This work is licensed under a Creative Commons Attribution 4.0 License. ...
He was a recipient of the Best Paper Runner-Up Award at MobiQuitous 2011. ...
doi:10.1109/access.2021.3074996
fatcat:dfyrghfswff6vmdlpa55jxtkjm
Real-Time Traffic Data Smoothing from GPS Sparse Measures Using Fuzzy Switching Linear Models
2017
Procedia Computer Science
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In this paper, we propose a novel algorithm for traffic state estimation from GPS data and using fuzzy switching linear models. ...
Traffic monitoring has become a hot multi-disciplinary research topic that aims to minimize traffic's negative effects by developing intelligent techniques for accurate traffic states' estimation, control ...
Traffic monitoring has become a hot multi-disciplinary research topic that aims to minimize traffic's negative effects by developing intelligent techniques for accurate traffic states estimation, control ...
doi:10.1016/j.procs.2017.06.136
fatcat:7wgkio77hfc7pi5vxtqddxtxlm
Scanning the Issue and Beyond: Real-Time Social Transportation with Online Social Signals
2014
IEEE transactions on intelligent transportation systems (Print)
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Ning A finite-state Markov channel (FSMC) model for tunnel channels in CBTC systems is developed. ...
Phillips An Intelligent Trip Modeling System (ITMS) is developed to predict the traveling speed profile for a selected route based on the traffic information available at the trip starting time. ...
doi:10.1109/tits.2014.2323531
fatcat:pbsgn4vg3nhnncssuofnytdnwi
A comprehensive review of vehicle detection using computer vision
2021
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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A crucial step in designing intelligent transport systems (ITS) is vehicle detection. ...
The advantages and disadvantages among the techniques are also highlighted with a conclusion as to the most accurate one for vehicle detection. ...
and Universiti Teknologi Malaysia (UTM) for their support under the Research University Grant (GUP), grant number 19H61. ...
doi:10.12928/telkomnika.v19i3.12880
fatcat:xkjir3yytzfr5a42nmi3j4tzza
Data Disseminations in Vehicular Environments
2013
International Journal of Distributed Sensor Networks
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A clustering scheme for ITS has been proposed by Y. Lin et al. in "An adaptive clustering scheme for improving the scalability in intelligent transportation systems." ...
RSUs are exploited to collect the traffic densities and estimate the realtime transmitting delay between RSUs and a minimum delay path for packets is selected. ...
Acknowledgments The guest editors would like to thank the authors for the great level of the contributions included in this special issue and the work developed by many experts who participated in the ...
doi:10.1155/2013/291635
fatcat:6acdcz7xhjgpro7nf52zfinrku
Automatic Traffic Abnormality Detection in Traffic Scenes: An Overview
2017
DEStech Transactions on Engineering and Technology Research
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automatic detection technology based on video has become a research focus in the intelligent transportation field. ...
In this paper, we introduced automatic traffic abnormality detection methods based on trajectory analysis, based on optical flow, based on image visual features descriptor and contrasted their advantages ...
Introduction Automatic traffic abnormality detection through visual surveillance is one of the critical requirements for Intelligent Transportation Systems (ITS). ...
doi:10.12783/dtetr/ismii2017/16639
fatcat:s5n256b77rfi3aqi3v7nonuigq
An Intelligent Traffic Control System Using Neutrosophic Sets, Rough sets, Graph Theory, Fuzzy sets and its Extended Approach: A Literature Review
2022
Zenodo
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Recently, the intelligent traffic control system and its uncertainty analysis are considered one of the hot spots for utilizing the available techniques. ...
To control the traffic accident and smooth road services an intelligent traffic control system required. It will be also useful in decreasing the time, reaction time, and efficiency of traffic. ...
Acknowledgements : Author thanks anonymous reviewers for their valuable suggestions and comments. Funding : There is no funding for this paper. ...
doi:10.5281/zenodo.6774620
fatcat:c3ufhug2hzch5frihb4pnnbufu
Scanning the Issue
2019
IEEE transactions on intelligent transportation systems (Print)
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This paper presents a novel methodology to estimate the vessel times of arrival in port areas. ...
This paper proposes a new and complete analysis framework for traffic flow parameter estimation from UAV video. This framework ...
Measurement-Based Burst-Error Performance Modeling for Cooperative Intelligent Transport Systems T. Blazek and C. F. ...
doi:10.1109/tits.2018.2885837
fatcat:crcgiff6czez3k5j4xn6mdcsj4
2019 Index IEEE Transactions on Intelligent Transportation Systems Vol. 20
2019
IEEE transactions on intelligent transportation systems (Print)
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., Safikhani, A., Kamga, C., Hao, W., and Ma, J ...
Soltani Naveh, K., +, TITS July 2019 2540-2549
Maximum likelihood estimation
Measurement-Based Burst-Error Performance Modeling for Cooperative
Intelligent Transport Systems. ...
., +, TITS Oct. 2019 3700-3709 Measurement-Based Burst-Error Performance Modeling for Cooperative Intelligent Transport Systems. ...
doi:10.1109/tits.2020.2966388
fatcat:xkvww7uabzhlzgfz3yiecyb75y
A Short-Term Traffic Flow Prediction to Control Traffics in Large Scale Transportation using Internet of Things
2019
International journal of recent technology and engineering
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In this paper, First, we develop an IoT based system which is capable of streaming the traffic surveillance footages to cloud storage, then the vehicle count is recorded every 30 sec interval and updated ...
Due to the increase in transportation vehicles the fixed light time on traffic signals not able to solve the traffic congestion problem. ...
The traffic density for short term flow is estimated through a deeper CNN-LSTM model with residual learning approach at each lane with the help of traffic flow data. ...
doi:10.35940/ijrte.d8988.118419
fatcat:xuozr5qe7vfq5humr2ghpx4wz4
Intelligent Traffic Management: A Review of Challenges, Solutions, and Future Perspectives
2021
Transport and Telecommunication
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Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. ...
Third, key strategies based on machine learning and computational intelligence for avoiding congestion are outlined. Fourth, important solutions for accurately predicting travel time are presented. ...
Another technology used in managing the traffic is RFID-based intelligent system. Chao and Chen (2014) presented a RFID-based intelligent TMS for determining traffic movement. ...
doi:10.2478/ttj-2021-0013
fatcat:xdbedatk5rb4bpgprddlwwv7ku
Scanning the Issue
2017
IEEE transactions on intelligent transportation systems (Print)
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Accelerometer data are represented with a novel technique inspired in the bag of words representation. ...
In this paper, a large volume of the publicly accessible literature is reviewed and compartmentalized based on the vulnerabilities identified and mitigation techniques developed. ...
The vessel's motion behavior is quantitatively modeled for the first time using kernel density estimation. ...
doi:10.1109/tits.2017.2761518
fatcat:v3psiws5unerpnj5itc2ibv7zy
Effective Safety Message Dissemination with Vehicle Trajectory Predictions in V2X Networks
2022
Sensors
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We evaluate the system by using a real-world VANET mobility dataset, and experimental results show that our system outperforms other mechanisms without considering any predicted vehicle trajectory density ...
Exploring data connection information from vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications using advanced machine learning approaches, an intelligent transportation system ( ...
A novel model to forecast traffic flow that depends on the acceleration and velocity of vehicles is presented in [8] . ...
doi:10.3390/s22072686
pmid:35408300
pmcid:PMC9003146
fatcat:gzjl4twisndutduvcn2icidwri
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