Impact of Intelligent Transport Systems Services on the Level of Safety and Improvement of Traffic Conditions

Oskarbski, Jacek; Marcinkowski, Tomasz; Zawisza, M.

doi:10.1007/978-3-319-66251-0_12

Cited by 5 publications

(2 citation statements)

References 4 publications

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“…However, they can also reduce emissions and increase the quality of citizens’ lives through improvements in everyday transportation. Oskarbski et al [20] try to improve knowledge about ITS, review effects of these systems which due to the author's knowledge are safety, quality of travel, traffic flow efficiency and fuel‐burning reduction. The authors included automatic vehicle identification in road tolling systems, high‐occupancy toll lanes and hard shoulder running strategy.…”

Section: Survey Of Reviews On Traffic Flow Simulationsmentioning

confidence: 99%

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Rydzewski¹,

Czarnul²

2020

IET intell. transp. syst

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Over the past few decades, the increasing number of vehicles and imperfect road traffic management have been sources of congestion in cities and reasons for deteriorating health of its inhabitants. With the help of computer simulations, transport engineers optimise and improve the capacity of city streets. However, with an enormous number of possible simulation types, it is difficult to grasp valuable, innovative solutions which are of the greatest value to city citizens. In this work, the authors expose various problems within this area having reviewed and analysed over 130 papers selected out of 1200 works in the field of urban simulations. The study describes the selection process of important papers and highlights characteristics of microsimulations, macrosimulations, computation optimisations and other approaches found in the literature which are especially useful and should be further built on in the future. They present and compare results provided in reviewed works in terms of throughput improvement, queue, waiting and travel time reduction, vehicle speed increase, speed‐ups as well as assumed simulation parameters. Finally, they focus on research gaps, such as a small number of works considering crisis simulations, few real‐world scale simulations as well as on software architectural changes and low‐level optimizations.

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Section: Survey Of Reviews On Traffic Flow Simulationsmentioning

confidence: 99%

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Rydzewski¹,

Czarnul²

2020

IET intell. transp. syst

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“…They assist the driver in making the best decisions in real time to avoid dangerous situations [5]. There are three objectives of ITS: mobility, sustainable transport, and convenience [6], [7]. Mobility deals with the transportation system's effectiveness and capacity, while sustainable transport focuses on road safety and environmental respect, and convenience ensures service accessibility.…”

Section: Introductionmentioning

confidence: 99%

Driver Behavior Classification: A Systematic Literature Review

2023

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Driver behavior is receiving increasing attention as a result of the staggering number of road accidents. Many road safety reports regard human behavior as the most important factor in the likelihood of accidents. The detection and classification of aggressive or abnormal driver behavior is an essential requirement in the real world to avoid deadly road accidents and to protect road users. The automatic detection of the driver's behavior aids in the prevention of dangerous situations for the driver and all other participants in the driving environment, as well as the implementation of corrective measures. This paper presents a systematic literature review (SLR) of the classification of driver behavior. The study aim is to highlight and analyze the different types of driver behavior, data sources, datasets, features, and artificial intelligence techniques used to classify driver behavior and its performance. Based on the results obtained from the analysis of the selected works, we aim to identify the key contributions and challenges of studying driver behavior classification and propose potential avenues for further directions for practitioners and researchers.INDEX TERMS Driver behavior, intelligent transport system, systematic literature review, machine learning, deep learning.

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Influence of Toll Collection Method on Motorways on Traffic Safety and Efficiency

Oskarbski

Gumińska

Żarski

2018

Communications in Computer and Information Science

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Impact of Intelligent Transport Systems Services on the Level of Safety and Improvement of Traffic Conditions

Cited by 5 publications

References 4 publications

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Recent advances in traffic optimisation: systematic literature review of modern models, methods and algorithms

Driver Behavior Classification: A Systematic Literature Review

Influence of Toll Collection Method on Motorways on Traffic Safety and Efficiency

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