Australian Passenger Vehicle Classification and Distance‐Based Charging: Current Practices and the Way Forward

Sen, Suman; Charles, Michael B.; Kortt, Michael A.

doi:10.1111/1759-3441.12242

Cited by 5 publications

(2 citation statements)

References 21 publications

(27 reference statements)

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“…It is shown that the methods based on the fixed location sensors could provide valuable information in combination with other methods [59,60]. The vision-based methods can provide information about the make and brand of a vehicle that could be used to extract other information such as gross weight and axle properties [61,62]. Besides the mobility state of vehicles, speed acceleration and direction also could be retrieved within the coverage area of the camera [59,63].…”

Section: Definition Referencementioning

confidence: 99%

A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques

Shokravi

Bakhary

et al. 2020

Sensors

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Vehicle classification (VC) is an underlying approach in an intelligent transportation system and is widely used in various applications like the monitoring of traffic flow, automated parking systems, and security enforcement. The existing VC methods generally have a local nature and can classify the vehicles if the target vehicle passes through fixed sensors, passes through the short-range coverage monitoring area, or a hybrid of these methods. Using global positioning system (GPS) can provide reliable global information regarding kinematic characteristics; however, the methods lack information about the physical parameter of vehicles. Furthermore, in the available studies, smartphone or portable GPS apparatuses are used as the source of the extraction vehicle’s kinematic characteristics, which are not dependable for the tracking and classification of vehicles in real time. To deal with the limitation of the available VC methods, potential global methods to identify physical and kinematic characteristics in real time states are investigated. Vehicular Ad Hoc Networks (VANETs) are networks of intelligent interconnected vehicles that can provide traffic parameters such as type, velocity, direction, and position of each vehicle in a real time manner. In this study, VANETs are introduced for VC and their capabilities, which can be used for the above purpose, are presented from the available literature. To the best of the authors’ knowledge, this is the first study that introduces VANETs for VC purposes. Finally, a comparison is conducted that shows that VANETs outperform the conventional techniques.

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Section: Definition Referencementioning

confidence: 99%

A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques

Shokravi

Bakhary

et al. 2020

Sensors

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“…Lera-López et al [10] investigated citizens' willingness to pay to reduce noise and air pollution caused by road transportation. In the academic field, there has been a burgeoning of academic research in this field [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

A Scientometric Analysis and Overview of Research on Infrastructure Externalities

Zhu

Yuan

et al. 2021

Buildings

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There is a growing level of concern regarding infrastructure externalities globally. However, most of the previous relevant reviews were undertaken manually and few of them covered all infrastructure systems. This study conducted a scientometric analysis and overview of the research on externalities of all infrastructure systems. The analysis results of 743 articles that were rigorously selected first showed the increasing trend of research interest in infrastructure externalities. Moreover, the results demonstrated productive and influential journals, scholars, and institutions, and their collaboration networks. Furthermore, research on the spillover effects of the infrastructure on economic growth, airport-related externalities, road transport-related externalities, and externalities of ecosystem services and energy systems were identified as the four main research domains. The evolution of the research is reflected in the focus change from economic aspects to environment aspects, from government governance to assessing and pricing by the market, and from airport to other infrastructure systems. Additionally, this study identified the scientific knowledge base supporting each research domain. Finally, this study pointed out research gaps and future research directions in the aspects of knowledge base, multi-dimensional evaluation, and multiple governance strategies. The results could cultivate deeper and more carefully focused research into this field in the academic community, and assist policymakers and practitioners in research planning and funding efforts.

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Usage-based road pricing and potential equity issues: A study of commuters in South East Queensland, Australia

2022

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Australian Passenger Vehicle Classification and Distance‐Based Charging: Current Practices and the Way Forward

Cited by 5 publications

References 21 publications

A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques

A Review on Vehicle Classification and Potential Use of Smart Vehicle-Assisted Techniques

A Scientometric Analysis and Overview of Research on Infrastructure Externalities

Usage-based road pricing and potential equity issues: A study of commuters in South East Queensland, Australia

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