Development of Intelligent Road Signs with V2X Interface for Adaptive Traffic Controlling

Czyżewski, Andrzej; Sroczynski, Andrzej; Śmiałkowski, Tomasz; Hoffmann, Piotr

doi:10.1109/mtits.2019.8883369

Cited by 6 publications

(8 citation statements)

References 6 publications

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“…At Gdańsk University of Technology, Faculty of Electronics, Telecommunications, and Informatics, in cooperation with AGH University of Science and Technology in Kraków and two companies a research project has been carried out under the title: "INZNAK -Intelligent road signs for adaptive vehicle traffic control, communicating in V2X technology" (Czyzewski et al 2019). The main objective of the project is to prevent congestion and resulting vehicle collisions on motorways and expressways.…”

Section: Information System Architecturementioning

confidence: 99%

“…-data exchange INZNAK with Management Centre -data exchange road sign with neighbour road signs -data exchange with vehicles having a communication unit operating in V2X standard To meet these challenges, V2X (Czyzewski et al 2019) technology was implemented to communicate signs with road infrastructure and passing vehicles. Therefore, it is possible to establish a connection with the vehicle's computer, in which information about e.g., recommended speed is transmitted.…”

Section: Information System Architecturementioning

confidence: 99%

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System for monitoring road slippery based on CCTV cameras and convolutional neural networks

Grabowski

Czyżewski

2020

J Intell Inf Syst

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The slipperiness of the surface is essential for road safety. The growing number of CCTV cameras opens the possibility of using them to automatically detect the slippery surface and inform road users about it. This paper presents a system of developed intelligent road signs, including a detector based on convolutional neural networks (CNNs) and the transfer-learning method employed to the processing of images acquired with video cameras. Based on photos taken in different light conditions by CCTV cameras located at the roadsides in Poland, four network topologies have been trained and tested: Resnet50 v2, Resnet152 v2, Vgg19, and Densenet201. The last-mentioned network has proved to give the best result with 98.34% accuracy of classification dry, wet, and snowy roads.

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Section: Information System Architecturementioning

confidence: 99%

Section: Information System Architecturementioning

confidence: 99%

System for monitoring road slippery based on CCTV cameras and convolutional neural networks

Grabowski

Czyżewski

2020

J Intell Inf Syst

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“…Some of them use state-of-the-art technologies, such as the Internet of Things and the Mobile Internet, to predict the trajectory of vehicles using deep multi-scale machine learning, thus creating highly accurate traffic models [5]. Although phenomena of this magnitude are not the subject of this article, the idea of using such a seemingly remote phenomenon as radio device trajectories is a good inspiration, especially since the VSL road signs we constructed have this capability [6].…”

Section: Introductionmentioning

confidence: 99%

Examining the Impact of Distance Between VSL Road Signs on Vehicle Speed Variance

Sroczynski¹,

Czyżewski

2023

IEEE Access

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Variable speed limit (VSL) is an intelligent transportation system (ITS) solution for traffic management. The speed limits can be changed dynamically to adapt to traffic conditions such as visibility and traffic volume, curvature, and grip coefficient of the road surface. The VSL traffic sign location problem and attempts to solve it using computer simulation are presented in this paper. Experiments on a selected road segment, carried out using the traffic simulator, have shown that the proposed method allows the driver's habits to be taken into account so that the location of road signs can be optimized. The observable effect was a reduction in vehicle speeds and speed variance on critical road segments, translating directly into increased safety and harmonized traffic.INDEX TERMS Optimal traffic control, variable speed limits (VSL), vehicle speed variance.

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“…It was integrated into a larger system for traffic management. In [5], a platform for self-organizing reliable wireless connections among road signs equipped with innovative displays and power supplies was discussed. The authors described several research and construction problems which should be addressed, such as: effective and independent of weather conditions traffic monitoring based on simultaneous analysis of several types of data representation, development of a method of calculating gradients and histograms of vehicle speed for various types of road situations or traffic topologies.…”

Section: Introductionmentioning

confidence: 99%

Integration of Image-Based Fog Detection with Autonomous Decision System for Intelligent Road Sign

et al. 2021

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The paper presents the description of the decision system implemented for Intelligent Road Signs. It focuses on the implementation of the novel air transparency analysis system and its integration with the rule system and the speed control infrastructure. Moreover, there are presented issues of making decisions about the content displayed in the case of autonomous and cooperating signs. To reflect more closely on real-life situations, it is assumed that the content presented by the IRS changes dynamically, depending on the road traffic and weather parameters. The IRS system operation was presented using fog detection as an example.

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Development of Intelligent Road Signs with V2X Interface for Adaptive Traffic Controlling

Cited by 6 publications

References 6 publications

System for monitoring road slippery based on CCTV cameras and convolutional neural networks

System for monitoring road slippery based on CCTV cameras and convolutional neural networks

Examining the Impact of Distance Between VSL Road Signs on Vehicle Speed Variance

Integration of Image-Based Fog Detection with Autonomous Decision System for Intelligent Road Sign

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