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DC Field | Value | Language |
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dc.contributor.author | Salman, Muntaser A. | - |
dc.contributor.author | Ozdemir, Suat | - |
dc.contributor.author | Celebi, Fatih V. | - |
dc.date.accessioned | 2022-10-22T09:46:23Z | - |
dc.date.available | 2022-10-22T09:46:23Z | - |
dc.date.issued | 2017 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/4940 | - |
dc.description.abstract | Traffic signal control (TSC) with vehicle-to-everything(V2X) communication can be very efficient for solving traffic congestion problem. When regarding a low number of vehicles equipped with communication capability i.e. penetration rate (PR), an assumption that TSC can operate with a sufficient quality need to be studied. In this paper, this assumption was investigated with simulations using COLOMBO framework. The PR is the major factor that influences the quality of TSC, but as well the evaluation interval should be taken into account. The performance of TSC in means of sufficient period should follow the evaluations of the overall system. COLOMBO framework has been further investigated and new two approaches have been proposed (i.e. instead of swarm algorithm used in COLOMBO framework, simple and fuzzy logic have been used). To evaluate the performance of our proposal, a comparison with COLOMBO’s approaches have been done. The results suggested that the duration that a vehicle remains associated with roadside unit (RSU) directly or through group leader can be used for controlling (as well as evaluating the traffic conditions) of an intersection with good accuracy even for low PR. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Computer Science & Information Technology (CS & IT) | en_US |
dc.subject | Traffic Signal Control | en_US |
dc.subject | Vehicle to Everything | en_US |
dc.subject | Communication | en_US |
dc.subject | Penetration Rate | en_US |
dc.subject | COLOMBO Framework | en_US |
dc.subject | Swarm algorithms & Fuzzy Logic | en_US |
dc.title | TRAFFIC SIGNAL CONTROL WITH VEHICLE-TO-EVERYTHING COMMUNICATION | en_US |
dc.type | Article | en_US |
Appears in Collections: | قسم نظم المعلومات |
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csit77706.pdf | 318.98 kB | Adobe PDF | View/Open |
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