Traffic Light with Inductive Detector Loops and Diverse Time Periods

Wiseman, Yair

doi:10.21742/asehl.2016.4.39

Cited by 5 publications

(5 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Among them, we can distinguish those based on classic, hybrid, modular, or colored networks [27][28][29][30][35][36][37][38][39][40][41][42][43][44][45][46][47]. There are detailed models of traffic lights taking into account their control and optimization [20,32,38], but none of them is based on recognizing each vehicle by its registration number. The reason may be the lack of infrastructure to analyze such a case in real-world conditions.…”

Section: Discussionmentioning

confidence: 99%

“…Managing traffic signals through an algorithm that adapts to traffic volume has been known for many years. The most commonly used for this are induction loops in the roadway, counting the queue of vehicles [20]. Newer solutions include CCTV video surveillance with object recognition [21,22].…”

Section: Introductionmentioning

confidence: 99%

“…The optimization of urban traffic with the help of proper algorithms that determine the cycles of traffic lights has been known for years [20,21]. Hence, this study proposes a novel approach, in addition to the existing ones, where alterations in the paths of moving vehicles are facilitated by modifying their directions in the navigation system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation in the GPenSIM Environment of the Movement of Vehicles in the City Based on Their License Plate Numbers

Kossowski,

Samolej,

Davidrajuh

2024

Electronics

View full text Add to dashboard Cite

This paper uses colored Petri nets (PN) to develop a model of vehicle movement in a city. The modeler defines the number and location of crossroads, the connections between them, and how many vehicles are at the given points of the network. The vehicles are recognized by their license plate numbers, and it is possible to determine where they start their journey and where they are going. The algorithm proposed in this paper suggests the shortest vehicle route based on Dijkstra’s algorithm. This study focuses on improving route planning by considering road usage, which is determined by the starting and ending locations of vehicles (as if traffic cameras were identifying license plates). This approach will lead to optimal control of traffic lights (or vehicle navigation) to minimize traffic jams and make good use of all roads. Additionally, this paper shares the results of preliminary simulations using both colored and uncolored Petri nets in the GPenSIM environment.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation in the GPenSIM Environment of the Movement of Vehicles in the City Based on Their License Plate Numbers

Kossowski,

Samolej,

Davidrajuh

2024

Electronics

View full text Add to dashboard Cite

show abstract

“…Like the implementation of many other Intelligent Transportation Systems [27,28], The control unit of the rangefinder device has been designed as a Moore state machine [29]. The control unit has just 3 states.…”

Section: Methodsmentioning

confidence: 99%

Ancillary Ultrasonic Rangefinder for Autonomous Vehicles

Wiseman¹

2018

IJSIA

Self Cite

View full text Add to dashboard Cite

The latest fatal accidents of autonomous vehicle happened because of undetected peer vehicles or persons. These fatal accidents call attention to the rangefinder devices which are a very significant component of every autonomous vehicle. The rangefinder is the starting point for the decision whether the vehicle should continue to go, to stop, or bypassing an object. In this paper an ultrasonic based rangefinder device for autonomous vehicles is presented. The device can be used as an ancillary system in addition to standard LIDAR system used by almost all the autonomous vehicles, with the aim of overcoming the obstructions of conventional LIDAR systems.

show abstract

“…Most of Intelligent Transportation Systems are implemented by state machines [10,11]. We also used a state machine in order to implement the incorporate license plate recognition device.…”

Section: Methodsmentioning

confidence: 99%

Vehicle Identification by OCR, RFID and Bluetooth for Toll Roads

Wiseman¹

2018

IJCA

Self Cite

View full text Add to dashboard Cite

Automatic payment in toll roads can improve the efficiency of the roads; however, errors in this payment can reduce the satisfaction of both the road users and the operators who will both have to waste time in order to sort out these mistakes. It is suggested to greatly minimize these mistakes by backup the recognition course of action of the license plates by using three different methods: RFID, Bluetooth and OCR in order to make recognition errors as seldom as possible.

show abstract

Traffic Light with Inductive Detector Loops and Diverse Time Periods

Cited by 5 publications

References 21 publications

Simulation in the GPenSIM Environment of the Movement of Vehicles in the City Based on Their License Plate Numbers

Simulation in the GPenSIM Environment of the Movement of Vehicles in the City Based on Their License Plate Numbers

Ancillary Ultrasonic Rangefinder for Autonomous Vehicles

Vehicle Identification by OCR, RFID and Bluetooth for Toll Roads

Contact Info

Product

Resources

About