Prediction based real time traffic management using connected autonomous vehicles
| dc.contributor | Graduate Program in Civil Engineering. | |
| dc.contributor.advisor | Gökaşar, Ilgın. | |
| dc.contributor.author | Timuroğulları, Alperen. | |
| dc.date.accessioned | 2023-03-16T10:52:52Z | |
| dc.date.available | 2023-03-16T10:52:52Z | |
| dc.date.issued | 2021. | |
| dc.description.abstract | The increasing population of big cities and hence the increasing rate of vehicle use with the population bring important environmental and economic problems. Traf- c congestion is one of the main causes of these problems. The presence of factors that may cause tra c to slow down or even stop locally increases the density of tra c, especially in highly populated cities, and the e ect of these factors can cease to be local and a ect the entire road network. Therefore, the e ective management of tra c plays an essential role in reducing these negative e ects. In this thesis, the real-time management using the connected autonomous vehicles, namely SWSCAV, [1] was tested in the 11 km long road network using the SUMO (Simulation of Urban Mobility) environment. Then, SWSCAV [1] with and without the prediction was compared with two real-time tra c management methods, namely the Variable Speed Limits and Lane Control Systems. 2400 di erent scenarios were created changing the parameters: the control distance and the percentage of the connected autonomous vehicles in the tra c ow. SWSCAV [1] with prediction where there are 50% connected autonomous vehicles decreased the density by an average of 58.18%. This scenario provided a 61.61% decrease in the density locally with a control distance of 1250 meters. | |
| dc.format.extent | 30 cm. | |
| dc.format.pages | xiv, 80 leaves ; | |
| dc.identifier.other | CE 2021 T56 | |
| dc.identifier.uri | https://digitalarchive.library.bogazici.edu.tr/handle/123456789/14104 | |
| dc.publisher | Thesis (M.S.) - Bogazici University. Institute for Graduate Studies in Science and Engineering, 2021. | |
| dc.subject.lcsh | Traffic flow. | |
| dc.subject.lcsh | Automated vehicles. | |
| dc.title | Prediction based real time traffic management using connected autonomous vehicles |
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