Smart Tramway Systems for Smart Cities: A Deep Learning Application in ADAS Systems

Guerrieri, Marco; Parla, Giuseppe

doi:10.1007/s13177-022-00322-4

Cited by 11 publications

(8 citation statements)

References 43 publications

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“…Regarding the third key issue, integrating smart roundabouts with sustainable transportation solutions shows promise [85,[116][117][118][119][120][121][122][123][124][125][126][127][128]. Intelligent transportation systems have become crucial for smart city development, necessitating vehicle awareness, especially in high-risk areas like intersections and roundabouts [116,117].…”

Section: Integration With Sustainable Transportation Solutionsmentioning

confidence: 99%

“…In a related study, Guerrieri and Parla [122] introduced a computer vision and deep learning approach for detecting, recognizing, and tracking pedestrians, vehicles, and cyclists along tramway infrastructure in urban environments. Their experiments, conducted on segments intersecting a roundabout with a 24 m outer diameter, utilized a survey vehicle equipped with a video camera.…”

Section: Integration With Sustainable Transportation Solutionsmentioning

confidence: 99%

“…Integration with sustainable transportation solutions [85,[116][117][118][119][120][121][122][123][124][125][126][127][128].…”

mentioning

confidence: 99%

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Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead

Tumminello,

Macioszek,

Granà

2024

Sustainability

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This paper explores the domain of intelligent transportation systems, specifically focusing on roundabouts as potential solutions in the context of smart mobility. Roundabouts offer a safer and more efficient driving environment compared to other intersections, thanks to their curvilinear trajectories promoting speed control and lower vehicular speeds for traffic calming. The synthesis review supported the authors in presenting current knowledge and emerging needs in roundabout design and evaluation. A focused examination of the models and methods used to assess safety and operational performance of roundabout systems was necessary. This is particularly relevant in light of new challenges posed by the automotive market and the influence of vehicle-to-vehicle communication on the conceptualization and design of this road infrastructure. Two case studies of roundabouts were analyzed in Aimsun to simulate the increasing market penetration rates of connected and autonomous vehicles (CAVs) and their traffic impacts. Through microscopic traffic simulation, the research evaluated safety and performance efficiency advancements in roundabouts. The paper concludes by outlining areas for further research and evolving perspectives on the role of roundabouts in the transition toward connected and autonomous vehicles and infrastructures.

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Section: Integration With Sustainable Transportation Solutionsmentioning

confidence: 99%

Section: Integration With Sustainable Transportation Solutionsmentioning

confidence: 99%

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Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead

Tumminello,

Macioszek,

Granà

2024

Sustainability

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“…A technique for detecting, recognizing, and tracking pedestrians, vehicles, and cyclists along a tram route in a complex urban environment was presented in [ 384 ]. The proposed method utilized CV and DL approaches and the YOLOv3 algorithm.…”

Section: Computer Vision Applications In Intelligent Transportation S...mentioning

confidence: 99%

Computer Vision Applications in Intelligent Transportation Systems: A Survey

Dilek

Dener

2023

Sensors

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As technology continues to develop, computer vision (CV) applications are becoming increasingly widespread in the intelligent transportation systems (ITS) context. These applications are developed to improve the efficiency of transportation systems, increase their level of intelligence, and enhance traffic safety. Advances in CV play an important role in solving problems in the fields of traffic monitoring and control, incident detection and management, road usage pricing, and road condition monitoring, among many others, by providing more effective methods. This survey examines CV applications in the literature, the machine learning and deep learning methods used in ITS applications, the applicability of computer vision applications in ITS contexts, the advantages these technologies offer and the difficulties they present, and future research areas and trends, with the goal of increasing the effectiveness, efficiency, and safety level of ITS. The present review, which brings together research from various sources, aims to show how computer vision techniques can help transportation systems to become smarter by presenting a holistic picture of the literature on different CV applications in the ITS context.

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“…As more and more people live in cities, the infrastructure must work together with those who participate in public transport. Thus, it is also imperative to develop and implement safety-promoting systems that allow the detection, recognition, and tracking of pedestrians, vehicles, and cyclists near the tramway [38][39][40][41][42][43][44][45].…”

Section: Introductionmentioning

confidence: 99%

Investigation of “Open” Superstructure Tramway Tracks in Budapest

et al. 2023

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The most important thing nowadays is to use available resources to develop infrastructure as efficiently as possible. In this regard, evaluating the deterioration of tramway tracks is critical from both a technical and an economic viewpoint. In Hungary, seven types of superstructure systems are currently differentiated in the case of tramway transport, but the geometrical deterioration, lifecycle, and lifecycle cost of the tramway tracks are not accurately known. The current study aimed to evaluate and compare the results of track geometry measurements of two different “open” tramway superstructure systems depending on their traffic load and age. The geometry measurements we re executed by TrackScan 4.01 instrument, developed and maintained by a Hungarian developer company called Metalelektro Méréstechnika Ltd. The evaluation of the measurements showed a clear relationship between the traffic load, age, and track deterioration. Based on the results, it can be generally stated, concerning “open” superstructure systems, that regardless of the “open” superstructure system or the level of traffic load, the average value of alignment is decreasing; however, the average value of the longitudinal level is increasing. Furthermore, the deterioration of an older ballasted track with lower traffic is similar to that of a younger ballasted track that has a higher traffic load. Another significant result was that the deterioration of the track gauge parameter in the case of concrete slab tracks is clearly described as the broadening of the track gauge.

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Smart Tramway Systems for Smart Cities: A Deep Learning Application in ADAS Systems

Cited by 11 publications

References 43 publications

Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead

Insights into Simulated Smart Mobility on Roundabouts: Achievements, Lessons Learned, and Steps Ahead

Computer Vision Applications in Intelligent Transportation Systems: A Survey

Investigation of “Open” Superstructure Tramway Tracks in Budapest

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