Dynamic Traffic Light Sequence Algorithm Using RFID

Al-Khateeb, Khalid A. Saeed; Johari, Jaiz A. Y; Al-Khateeb, Wajdi Fawzi Mohammed

doi:10.3844/jcssp.2008.517.524

Cited by 44 publications

(15 citation statements)

References 7 publications

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“…Plot designed in sub-image (b) of Fig. 4 compares their amounts through different frames • False detection rate (Al-Khateeb et al, 2008) is the third quantitative factor used in this research. Actually, it is equal to the number of pixels which the difference between their values and the value of corresponding pixel in the adapted background calculated with the less combination rate is more than a user predefined threshold (γ).…”

Section: Resultsmentioning

confidence: 99%

A Block-Based Multi-Scale Background Extraction Algorithm

Davarpanah¹

2010

Journal of Computer Science

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Problem statement: To extract the moving objects, vision-based surveillance systems subtract the current image from a predefined background image. The efficiency of these systems mainly depends on accuracy of the extracted background image. It should be able to adapt to the changes continuously. In addition, especially in real-time applications the time complexity of this adaptation is a critical matter. Approach: In this study, to extract an adaptive background, a combination of blocking and multi-scale methods is presented. Because of being less sensitive to local movements, block-based techniques are proper to control the non-stationary objects movements, especially in outdoor applications. They can be useful to reduce the effect of these objects on the extracted background. We also used the blocking method to intelligently select the regions which the temporal filtering has to be applied on. In addition, an amended multi-scale algorithm is introduced. This algorithm is a hybrid algorithm, a combination of some nonparametric and parametric filters. It uses a nonparametric filter in the spatial domain to initiate two primary backgrounds. In continue two adapted two-dimensional filters will be used to extract the final background. Results: The qualitative and quantitative results of our experiments certify not only the quality of the final extracted background is acceptable, but also its time consumption is approximately half in compare to the similar methods. Conclusion: Using Multi scaling filtering and applying the filters just to some selected nonoverlapped blocks reduce the time consumption of the extracting background algorithm

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Section: Resultsmentioning

confidence: 99%

A Block-Based Multi-Scale Background Extraction Algorithm

Davarpanah¹

2010

Journal of Computer Science

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“…In the past decade there have been several developments in the field of smart junction traffic lights for better management of traffic load, reducing drivers' frustration and loss of man hours. One of the first papers published in the field of smart junctions ( [9]) introduced an elaborate algorithm for traffic-light time-handling which was applied for several vehicles at a single junction with several lanes and roads. A database was used for the management scheme, and the simulation showed that the dynamic adjustment algorithm could even handle some extreme cases, such as different emergency scenarios.…”

Section: Introductionmentioning

confidence: 99%

Traffic control in a smart intersection by an algorithm with social priorities

Barzilai¹,

Voloch²,

Hasgall³

et al. 2018

ces

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This research deals with the case of a smart intersection, where several cars approach the intersection from various directions, and a smart traffic light must decide about the time intervals of RED and GREEN in each direction, based not only on the number of vehicles in each lane, but also on other factors such as the type of vehicles (e.g. emergency vehicles), and the social characteristics of the passengers (e.g. a handicapped person, a student who is late for an exam). Those factors will be gleaned from the IoT (Internet of Things) network amongst cars, traffic lights, individuals, municipality data, and more. Once those priorities have been examined, they are fed into the algorithm we have devised, and outputted as a timing schedule for the different sides of the intersection. In this paper we present the algorithm, the prioritizing research, its implementation in the algorithm and initial results.

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“…Once a radio frequency pulse is detected and the proper direction of travel determined, a preemption request is send to the signal controller, which responds accordingly. For instance, RFID technology is applied to multi-lane and multi-road junction area [6], [7]. RFID tags may be placed on emergency vehicles and RFID tag readers are installed in advance of the intersection, and hence visibility issues are not significant.…”

Section: Introductionmentioning

confidence: 99%

A novel CAM-based traffic light preemption algorithm for efficient guidance of emergency vehicles

Unibaso¹,

Ser²,

Gil-López³

et al. 2010

13th International IEEE Conference on Intelligent Transportation Systems

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Focusing on efficiently handling traffic signalling for emergency vehicles via minimally-invasive schemes, in this manuscript we propose a novel traffic light preemption algorithm based on processing part of the Cooperative Awareness Messages (CAM) already defined in the so-called European Intelligent Transportation System (ITS) communication architecture. In order to minimize the probability of error in traffic preemption, our proposed algorithm not only relies on such CAM messages, but information on the environment, overriding the necessity for installing any further device on urban furniture. To shed some light on the performance of our algorithm, preliminary Monte Carlo simulations have been carried out for a simplistic scenario, where it is shown that the proposed algorithm is able to preempt traffic lights using the angular and spatial information provided by CAM messages with low probability of error. These results pave the way for future research aimed at simulating and validating the algorithm in real traffic scenarios.

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Dynamic Traffic Light Sequence Algorithm Using RFID

Cited by 44 publications

References 7 publications

A Block-Based Multi-Scale Background Extraction Algorithm

A Block-Based Multi-Scale Background Extraction Algorithm

Traffic control in a smart intersection by an algorithm with social priorities

A novel CAM-based traffic light preemption algorithm for efficient guidance of emergency vehicles

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