Towards AI-Based Traffic Counting System with Edge Computing

Towards AI-Based Traffic Counting System with Edge Computing

The recent years have witnessed a considerable rise in the number of vehicles, which has placed transportation infrastructure and traffic control under tremendous pressure. Yielding timely and accurate traffic flow information is essential in the development of traffic control strategies. Despite th...

Full description

Bibliographic Details
Main Authors:	Duc-Liem Dinh, Hong-Nam Nguyen, Huy-Tan Thai, Kim-Hung Le
Format:	Article
Language:	English
Published:	Hindawi-Wiley 2021-01-01
Series:	Journal of Advanced Transportation
Online Access:	http://dx.doi.org/10.1155/2021/5551976

Similar Items

Multi-camera vehicle counting using edge-AI
by: Amato, G., et al.
Published: (2022)

Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology
by: Cosmas Ifeanyi Nwakanma, et al.
Published: (2021-06-01)

Virtualizing AI at the Distributed Edge towards Intelligent IoT Applications
by: Claudia Campolo, et al.
Published: (2021-02-01)

Performance evaluation of the effect of traffic decentralization with mobile edge computing
by: Young-Min Kim, et al.
Published: (2021-06-01)

A Low Power AI Inference Accelerator for IoT Edge Computing
by: Hansson, Olle
Published: (2021)

HierTrain: Fast Hierarchical Edge AI Learning With Hybrid Parallelism in Mobile-Edge-Cloud Computing
by: Deyin Liu, et al.
Published: (2020-01-01)

Traffic counts.
Published: ()

National Sports AI Health Management Service System Based on Edge Computing
by: Huali Yang, et al.
Published: (2021-01-01)

IEEE Access Special Section Editorial: Edge Computing and Networking for Ubiquitous AI
by: Victor C. M. Leung, et al.
Published: (2021-01-01)

Special Section on Edge AI and Accelerators
by: Deepu John, et al.
Published: (2021-01-01)

Edge AI y sus aplicaciones
by: Sakihama, Luis
Published: (2021)

Self-Calibrated Edge Computation for Unmodeled Time-Sensitive IoT Offloading Traffic
by: Nhu-Ngoc Dao, et al.
Published: (2020-01-01)

Traffic Incident Detection Based on Dynamic Graph Embedding in Vehicular Edge Computing
by: Gen Li, et al.
Published: (2021-06-01)

Joint Resource Allocation Based on Traffic Flow Virtualization for Edge Computing
by: Won-Suk Kim, et al.
Published: (2021-01-01)

A two-stage approach for front-view vehicle detection and counting at nighttime
by: Pham Van-Huy, et al.
Published: (2016-01-01)

Three-Tier Capacity and Traffic Optimization for Core, Edges, and Devices in Mobile Edge Computing
by: Jian-Xun Huang, et al.
Published: (2017)

Progressive Traffic-Oriented Resource Management for Reducing Network Congestion in Edge Computing
by: Won-Suk Kim
Published: (2021-04-01)

Wearable Edge AI Applications for Ecological Environments
by: Mateus C. Silva, et al.
Published: (2021-07-01)

AI-Powered Network Traffic Prediction
by: Bolakhrif, Amin
Published: (2021)

Edge Cloud Placement with Traffic Load Alleviation for Cloud Computing
by: Kun-Yu Lyu, et al.
Published: (2018)

Dynamic Traffic Offload Mechanism based on Mobile Edge Computing
by: Fu-Yuan Lin, et al.
Published: (2017)

Test Architecture for Systolic Array of Edge-Based AI Accelerator
by: Umair Saeed Solangi, et al.
Published: (2021-01-01)

Forecasting Air Temperature on Edge Devices with Embedded AI
by: Gaia Codeluppi, et al.
Published: (2021-06-01)

Application of traffic conflict technique for traffic safety evaluation at intersection based on image processing
by: Ngoc Dung Bui, et al.
Published: (2021-09-01)

Procedure for Marine Traffic Simulation with AIS Data
by: Rina Miyake, et al.
Published: (2015-03-01)

Implementation of Internet Traffic of Performance Monitoring on AIS
by: Li-Yuan chen, et al.
Published: (2000)

Bandwidth-Aware Traffic Sensing in Vehicular Networks with Mobile Edge Computing
by: Kong Ye, et al.
Published: (2019-08-01)

Toward Computation Offloading in Edge Computing: A Survey
by: Congfeng Jiang, et al.
Published: (2019-01-01)

AI on the Edge with CondenseNeXt: An Efficient Deep Neural Network for Devices with Constrained Computational Resources
by: Kalgaonkar, Priyank B.
Published: (2021)

AIS Meets IoT: A Network Security Mechanism of Sustainable Marine Resource Based on Edge Computing
by: Han-Chieh Chao, et al.
Published: (2021-03-01)

Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles
by: Sorin Grigorescu, et al.
Published: (2020-09-01)

MiniDeep: A Standalone AI-Edge Platform by Building a Deep Learning-Based Mini-PC and AI-QSR System
by: ZHANG, HONG-LUN, et al.
Published: (2019)

Design of an AIS traffic simulation for Vessel Traffic Management and Information Services(VTMIS)
by: Cheng-Te Chen, et al.
Published: (2004)

An Intelligent Real-Time Traffic Control Based on Mobile Edge Computing for Individual Private Environment
by: Sa Math, et al.
Published: (2020-01-01)

An Energy Efficient EdgeAI Autoencoder Accelerator for Reinforcement Learning
by: Nitheesh Kumar Manjunath, et al.
Published: (2021-01-01)

Smart Caching at CMS: applying AI to XCache edge services
by: Spiga Daniele, et al.
Published: (2020-01-01)

Every Second Counts: Integrating Edge Computing and Service Oriented Architecture for Automatic Emergency Management
by: Lei Chen, et al.
Published: (2018-01-01)

Quantitative Reconstruction of Dual K-Edge Contrast Agent Distribution for Photon- Counting Computed Tomography
by: Xiaotong Zhang, et al.
Published: (2019-01-01)

DRL-Based Edge Computing Model to Offload the FIFA World Cup Traffic
by: Hongyi Li, et al.
Published: (2020-01-01)

Real-Time Classification and Detection of Multiple Objects by Using Deep Convolutional Neural Network for AI Edge Computing
by: NI, YU-SHU, et al.
Published: (2018)

Cannot write session to /tmp/vufind_sessions/sess_va72tjnssa42sgasaiv91q232c