Geofencing to Enable Differentiated Road User Charging

Arnesen, Petter; Seter, Hanne; Tveit, Ørjan Mørner; Bjerke, Mats Myhrvold

doi:10.1177/0361198121995510

Cited by 7 publications

(2 citation statements)

References 1 publication

(1 reference statement)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Petter Arnesan et al [3] introduced geofencing as a mechanism to enable differentiated user charging, with a focus on promoting the use of electric vehicles (EVs) in Norway. The researchers implemented geofencing in two cities to analyze user behavior to-wards switching to electric vehicles.…”

Section: Literature Reviewmentioning

confidence: 99%

Automated Toll Collection System

Lambor,

Komble,

Khade

et al. 2023

Data Science and Intelligent Computing Techniques

View full text Add to dashboard Cite

This research project develops an automated toll collection system using geofencing, a web-based platform, and intelligent algorithms. Each day with a steady rise in the human population there is a steady rise in the number of vehicles on roads as well. This increase in vehicles eventually will demand for a better toll collection infrastructure and newer innovative methods and technologies. These technologies not only need to make toll collection easier but reduce the time that vehicles need to wait for in long queues that leads to traffics and human errors. This project aims to eliminate physical toll-booths, reduce congestion, and improve traffic flow. The most significant feature is there is no requirement of physical infrastructure and vehicles will not have to stop at certain locations thus eliminating congestions and long traffics at certain locations. The system calculates tolls based on distance travelled in the geofenced area and deducts them from virtual accounts. The research paper details the defining of geofence with the Google Maps API, toll calculation algorithms, and the design of the web platform. The project demonstrates the potential of automated toll collection for optimizing transportation infrastructure and inspires further advancements in toll collection technologies.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Automated Toll Collection System

Lambor,

Komble,

Khade

et al. 2023

Data Science and Intelligent Computing Techniques

View full text Add to dashboard Cite

show abstract

“…EVA is a system that provides civilian drivers with an in-car warning that an EV is approaching. Geofencing, on the other hand, marks virtual parameters in the world and creates rules that drivers must follow based on their position, for instance, to force drivers to maintain a lower speed in a certain area ( 21 ). Finally, with EVP an EV can send a request to a traffic signal.…”

mentioning

confidence: 99%

Potential of Cooperative Intelligent Transport System Services to Mitigate Risk Factors Associated With Emergency Vehicle Accidents

Weibull

Lidestam

Prytz

2022

Transportation Research Record: Journal of the Transportation R

View full text Add to dashboard Cite

Emergency vehicles (EVs) are at high risk of accidents during emergency driving. To make use of countermeasures to mitigate these risks, it is important to understand under what circumstances EV-related accidents occur. The common risk factors for EV-related accidents were examined through a systematic literature review. A total of 22 articles were examined for risk factors associated with EV-related accidents. The most reported risk factors were, in order of frequency, intersections, daytime, dry roads, clear weather, urban roads, traffic signals, and angular collisions. The articles were also reviewed for suggested countermeasures to mitigate the risk factors. The most commonly suggested countermeasures were driver training for EV operators, educating the public, exercising caution at intersections, wearing a seatbelt, and intelligent vehicle technologies. Cooperative intelligent transport systems (C-ITSs) have the potential to mitigate the risks of EV-related accidents. Therefore, three C-ITS services were investigated: EV approaching, EV preemption, and geofencing. They could all be used to inform, warn, or control aspects of driving. Each suggested service has the potential to decrease risk factors for EV-related accidents. The current literature review provides guidance on under what circumstance and in what form C-ITSs could be beneficial to prevent EV-related accidents. Further research is needed to examine behavior when drivers are introduced to C-ITSs.

show abstract