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Intelligent Traffic System in Smart Cities
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Intelligent Traffic System in Smart Cities

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5098

Special Issue Editor

Dr. Matteo Anedda

E-Mail Website
Guest Editor
Department of Electrical and Electronic Engineering, University of Cagliari, 09123 Cagliari, Italy
Interests: smart cities; 5G/6G; intelligent transport systems; QoE and QoS
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

We invite you to participate in a special issue of Sensors on the topic of "Intelligent Traffic System in Smart Cities". Over the past decade, the spread of IoT and ever-increasing road traffic have had a major impact on many aspects of society, reinforcing the need for applied research for intelligent monitoring and management of city vehicular traffic.

Intelligent Transportation Systems (ITS) vary depending on the technologies applied, from basic management systems such as satellite navigation systems, traffic light control systems, or speed detectors for monitoring applications applied to CCTV systems, to advanced applications that integrate real-time data from various external sources, such as weather information, bridge de-icing systems, and the like. In addition to these, other forecasting techniques have been developed to enable advanced modeling and comparisons with historical data. This special issue encourages high-quality unpublished contributions on recent advances in intelligent traffic management. Topics of interest for the publication include, but are not limited to:

- systems for disseminating road surface quality information based on different weather conditions;

- vehicular speed monitoring and bollards for reducing traffic accidents;

- Wi-Fi and 5G/6G: sniffing and fingerprinting

- innovative platforms for vehicular traffic monitoring and control

- Artificial intelligence techniques for predicting traffic variations

- Real-time vehicular IoT

- IoT and D2D vehicular communication protocols

- Traffic calming techniques and air quality improvement;

- Intelligent traffic monitoring

- People and vehicle tracking and data analysis

- Algorithms for constructing origin/destination matrices

- Detection of vehicular data and privacy

- LIDAR for 3D traffic detection and construction

- Innovative navigator systems for intelligent traffic systems

- Algorithms for intelligent management of traffic light systems

- Next-generation sensors for vehicular traffic detection (e.g., LiDAR, ...)

Dr. Matteo Anedda
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (3 papers)

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Research

13 pages, 1557 KiB  
Article
Vehicular Traffic Flow Analysis and Minimize the Vehicle Queue Waiting Time Using Signal Distribution Control Algorithm
by Srinivasagam Solaiappan, Bharathi Ramesh Kumar, N. Anbazhagan, Yooseung Song, Gyanendra Prasad Joshi and Woong Cho
Sensors 2023, 23(15), 6819; https://doi.org/10.3390/s23156819 - 31 Jul 2023
Viewed by 1554
Abstract
The real-time vehicular traffic system is an integral part of the urban vehicular traffic system, which provides effective traffic signal control for a large multifaceted traffic network and is a highly challenging distributed control problem. Coordinating vehicular traffic enables the network model to [...] Read more.
The real-time vehicular traffic system is an integral part of the urban vehicular traffic system, which provides effective traffic signal control for a large multifaceted traffic network and is a highly challenging distributed control problem. Coordinating vehicular traffic enables the network model to deliver an efficient service flow. Consider that there are four lanes of vehicular traffic in this situation, allowing parallel vehicle movements to occur without causing an accident. In this instance, the vehicular system’s control parameters are time and vehicle volume. In this work, vehicular traffic flow is examined, and an algorithm to estimate vehicle waiting time in each direction is estimated. The effectiveness of the proposed vehicle traffic signal distribution control system by comparing the experimental results with a real-time vehicular traffic system is verified. This is also illustrated numerically. Full article
(This article belongs to the Special Issue Intelligent Traffic System in Smart Cities)
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16 pages, 4773 KiB  
Article
Traffic Signal Timing Optimization Model Based on Video Surveillance Data and Snake Optimization Algorithm
by Ruixiang Cheng, Zhihao Qiao, Jiarui Li and Jiejun Huang
Sensors 2023, 23(11), 5157; https://doi.org/10.3390/s23115157 - 28 May 2023
Cited by 3 | Viewed by 1988
Abstract
With the continued rapid growth of urban areas, problems such as traffic congestion and environmental pollution have become increasingly common. Alleviating these problems involves addressing signal timing optimization and control, which are critical components of urban traffic management. In this paper, a VISSIM [...] Read more.
With the continued rapid growth of urban areas, problems such as traffic congestion and environmental pollution have become increasingly common. Alleviating these problems involves addressing signal timing optimization and control, which are critical components of urban traffic management. In this paper, a VISSIM simulation-based traffic signal timing optimization model is proposed with the aim of addressing these urban traffic congestion issues. The proposed model uses the YOLO-X model to obtain road information from video surveillance data and predicts future traffic flow using the long short-term memory (LSTM) model. The model was optimized using the snake optimization (SO) algorithm. The effectiveness of the model was verified by applying this method through an empirical example, which shows that the model can provide an improved signal timing scheme compared to the fixed timing scheme, with a decrease of 23.34% in the current period. This study provides a feasible approach for the research of signal timing optimization processes. Full article
(This article belongs to the Special Issue Intelligent Traffic System in Smart Cities)
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18 pages, 4202 KiB  
Communication
A Velocity Measurement Method Based on Charge Induction
by Yangbin Chi, Ziyu Fan, Shufan Wang and Limin Zhang
Sensors 2023, 23(3), 1238; https://doi.org/10.3390/s23031238 - 21 Jan 2023
Viewed by 1091
Abstract
In this paper, based on the principle of charge induction, a new velocity measurement method is proposed. A moving target generates a low-frequency electric field, which can be induced with an electrode and detection frontend. Velocity measurements are achieved by placing two electrodes [...] Read more.
In this paper, based on the principle of charge induction, a new velocity measurement method is proposed. A moving target generates a low-frequency electric field, which can be induced with an electrode and detection frontend. Velocity measurements are achieved by placing two electrodes at a fixed distance to detect the characteristic times. Firstly, the electric field generated by the moving target is modeled, and the theoretical output of the detection frontend is obtained via a simulation of the target passing by a single electrode. Then, according to the theoretical output, the velocity measurement simulation results of double electrodes are given for various driving conditions, such as a single vehicle driving in a single lane, a single vehicle changing lanes, two vehicles driving close together, and a multiple-vehicle situation. Finally, the above driving conditions are experimentally verified in sunny weather, windy and rainy weather, and a night environment. Full article
(This article belongs to the Special Issue Intelligent Traffic System in Smart Cities)
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