VINIF.2019.DA16 – Smart on-street parking management system

project manager image
Principle Investigator
Dr. Phung Thi Kieu Ha
Host Organization
Hanoi University of Science and Technology

The project content is to design and deploy a smart street parking management and monitoring system to:
– Provide utilities to help drivers easily search, park and pay,
– Provide automatic and safe parking control management tools to avoid objective and subjective errors,
– Collect data to evaluate the performance of parking lots to adjust policies accordingly.

Wireless communication technologies (LoRa, V2X), magnetic field sensor technology, image processing technology based on machine learning, edge computing technology are applied to develop an automatic system for monitoring on-street car parking and application for searching and booking car parking spaces. Parking lot status is monitored by sensors and cameras, parked cars are monitored by tag devices placed on the vehicle, and each parking lot is equipped with a gateway device that centralizes data and preprocess data received from sensors, cameras and tags. The multi-protocol gateway device integrates the oneM2M standard as recommended by ETSI for easy integration with IoT systems using different communication technologies/protocols. The process of identifying vehicles entering/exiting at parking spots, parking time, and charging fees is managed automatically, without the need for staff intervention. Aggregated data at the gateway devices is sent to the central management system for real-time updates to the parking map of the parking search and booking application, and to serve the process of inspection, storage, and long-term statistical evaluation. The system platform is based on widely accepted technologies in the world (V2X, LoRa, oneM2M) ensuring scalability and integration with intelligent transportation systems or smart city models in the future. The project also conducts research on optimizing LoRa communication protocol, multi-access edge computing technology, and security issues in V2X application systems.

Efficiency and impact: Car users will be the direct beneficiaries of the system’s smart utility services, minimizing the time cars spend on the road to reduce traffic congestion and emissions from vehicles causing environmental pollution. In addition, city traffic policymakers can exploit data to regulate traffic and arrange reasonable parking spots; Shop and restaurant owners on the streets can exploit information about parking spots for their business; The general public can also exploit information to determine suitable means of transportation. In fact, the effectiveness and impact of automatic monitoring and management systems on the IoT platform do not only come from the services directly provided by the system, but a very important part comes from the data collected by the system and be exploited by many different parties to create other valuable products and services, to build effective, adaptive and intelligent social organizations.

project manager image
Principle Investigator
Dr. Phung Thi Kieu Ha
Host Organization
Hanoi University of Science and Technology

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Expect Progress
19/09/2019
18/08/2020
Phase 1 (8 months)
  • 01 Prototype of parking location detection device
  • 01 Prototype of tag device placed on a car
  • 01 Master’s student
18/04/2021
Phase 2 (08 months)
  • 01 scientific article published in a magazine on the Q1-SCIE list;
  • 01 Prototype of data concentration device
  • 01 system administration software, 01 application software for supervisory staff, 01 application software for car drivers
  • 01 Master’s student
18/09/2021
Phase 3 (08 months)
  • 01 scientific article published in a journal on the Q1-SCIE list;
  • 01 Intellectual property application;
  • 01 smart parking management system on the street

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