| Yazarlar (3) |
Dr. Öğr. Üyesi Gizem Temelcan ERGENECOŞAR
|
|
Yıldız Teknik Üniversitesi, Türkiye |
|
Yıldız Teknik Üniversitesi, Türkiye |
| Özet |
| This paper focuses on the system optimum traffic assignment problem (SOTAP) which aims to minimize total system travel time on a network between specified origin and destination pair. In order to represent a real-life problem dealing with imprecise data; by using fuzzy theory, the system optimum fuzzy traffic assignment problem (SOFTAP) is modeled. As a fully fuzzy quadratic programming problem (QPP), SOFTAP has linear fuzzy constraints and a nonlinear objective function expressed by sum of multiplications of each fuzzy link flow and corresponding fuzzy link travel time. Similar to the literature, BPR function is used as the link travel time function. To determine fuzzy link capacity and free flow fuzzy link travel time, average speed and vehicle length are taken as triangular fuzzy numbers and path lengths and number of lanes are taken as crisp numbers. Due to the imprecision of parameters, the travel demand of … |
| Anahtar Kelimeler |
| Bildiri Türü | Tebliğ/Bildiri |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) |
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum |
| DOI Numarası | 10.1007/978-3-030-66501-2_41 |
| Bildiri Dili | İngilizce |
| Kongre Adı | The 4-th International Conference on Intelligent Decision Science (IDS) |
| Kongre Tarihi | 07-08-2020 / 08-08-2020 |
| Basıldığı Ülke | Türkiye |
| Basıldığı Şehir | Istanbul |
| Bildiri Linki | https://doi.org/10.1007/978-3-030-66501-2 |