Yalcinli, FuatAkdemir, BayramDurdu, AkifEvren, AliAkkas, Kubra Ozcan2025-06-112025-06-1120250765-00191958-5608https://doi.org/10.18280/ts.420208https://hdl.handle.net/20.500.13091/10096Recent increases in traffic density have introduced a range of challenges, prompting the development of intelligent transportation technologies as potential solutions. One such solution involves the efficient determination and management of signaling times. This study presents a structure for generating adaptive signal timings through the creation of a signaling improvement model. The proposed model is implemented at the Polatl & imath; Sanayi Intersection, which was previously managed using a fixed-time signaling system. Subsequently, the delay times per vehicle are calculated and compared between the fixed-time signaling system and the newly developed signaling improvement model. The delay times for both the fixed-time signaling system and the signaling improvement model are evaluated through the use of visual detection methods, with observations conducted via camera during peak hours. The observed delay times are further validated through the Webster model and the SUMO simulation program. The Webster model and SUMO simulations employ real signalized intersection data. The study revealed a 20.24% reduction in delay times when switching from a fixed-time signaling system to an adaptive signaling improvement model. Moreover, the level of service at the intersection, as defined by the level of service criteria outlined in the Highway Capacity Manual, has been enhanced from E (indicating suboptimal performance) in the fixed-time system to D (indicating moderate performance) in the adaptive signalization model.eninfo:eu-repo/semantics/closedAccessAdaptive SignalingControlDelayParameterLevel Of ServiceSignalingSmart Traffic ControlArticle10.18280/ts.420208