2014
DOI: 10.2478/ttj-2014-0001
|View full text |Cite
|
Sign up to set email alerts
|

A dynamic traffic light management system based on wireless sensor networks for the reduction of the red-light running phenomenon

Abstract: The real-time knowledge of information concerning traffic light junctions represents a valid solution to congestion problems with the main aim to reduce, as much as possible, accidents. The Red Light Running (RLR) is a behavioural phenomenon that occurs when the driver must to choose to cross (or not) the road when the traffic light changes from green to yellow. Most of the time the drivers cross even during transitions from yellow to red and, as a consequence, the possibility of accidents increases. This ofte… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
19
0

Year Published

2015
2015
2023
2023

Publication Types

Select...
5
4

Relationship

0
9

Authors

Journals

citations
Cited by 38 publications
(20 citation statements)
references
References 20 publications
1
19
0
Order By: Relevance
“…This fuzzy system analyses the state of the monitored road network in terms of various factors, such as traffic density and average speed of vehicles as well as optimization criteria including desired minimum waiting time and maximum throughput, to output a ranked list of optimal control measures which involve alterations to driving policies (e.g., lane closure, ramp metering etc.). There exist many works in the literature devising adaptive mechanisms for traffic light control [11][12][13], which aim to dynamically change phase shift and duration of traffic lights rather than using fixed cycles. This is achieved by using WSNs and other road sensors to establish factors, such as vehicles' queue length, average crossing speed, traffic volume etc., to make decisions on how traffic lights should be altered.…”
Section: Related Workmentioning
confidence: 99%
“…This fuzzy system analyses the state of the monitored road network in terms of various factors, such as traffic density and average speed of vehicles as well as optimization criteria including desired minimum waiting time and maximum throughput, to output a ranked list of optimal control measures which involve alterations to driving policies (e.g., lane closure, ramp metering etc.). There exist many works in the literature devising adaptive mechanisms for traffic light control [11][12][13], which aim to dynamically change phase shift and duration of traffic lights rather than using fixed cycles. This is achieved by using WSNs and other road sensors to establish factors, such as vehicles' queue length, average crossing speed, traffic volume etc., to make decisions on how traffic lights should be altered.…”
Section: Related Workmentioning
confidence: 99%
“…The term "energy harvesting" [4,6,7,10] means a process wherby energy derived from alternative sources is captured and exploited: sources usually available in the environment, which represent the alternative energy sources, are converted directly into electrical energy used by specific devices called "energy harvesters". This process does not stop with electronic applications [5], but incorporates numerous fields.…”
Section: Energy Harvesting Overview and Circuit Modelmentioning
confidence: 99%
“…Since then, several researches, such as [5], [10] and [6], were published, improving the algorithm by adding factors and extreme cases to it, simulating realtime traffic cases, and calculating timing rates; several different levels of traffic intensity were considered to test the effectiveness of the proposed approach. The improved algorithms include calculation of traffic light sensor response, and, for the disruption status for extreme cases (such as an ambulance), fingerprints-based embedded authentication systems have been implemented as a self-contained sensor to increase the security of the system.…”
Section: Introductionmentioning
confidence: 99%