In this study, changes in traffic flow characteristics were examined in a mixed system consisting of human drivers and autonomous vehicles. In the study, it is accepted that in the environment where the autonomous vehicles are presented, neither vehicle to vehicle communication (V2V) nor the environment and infrastructure communication of vehicles (V2I) exist. The behavioral characteristics of human drivers (reaction time, acceleration, and deceleration, etc.) are derived from data collected from field studies, while the characteristics of autonomous vehicles are determined on the basis of assumptions in literature. Using these data together, the behaviors of the different driver profiles and the movements of the autonomous vehicles under the same conditions are compared by using the SIDRA TRIP program. By using the outcomes of the program and producing different scenenarios, a passenger car equivalence value for autonomous vehicles was tried to be obtained. In the last section of the study, the effect of autonomous vehicles on signalized intersection performance in an unconnected environment is discussed. The results show that autonomous vehicles may significantly decrease intersection capacity.

Mikromobilite sistemleri son yıllarda dünyanın pek çok bölgesinde olduğu gibi ülkemizde de oldukça popüler olmaya başlamıştır. Mikromobilite sistemlerinin popülerliğinin artmasının ana nedenleri, artan araç paylaşım sistemleri, özellikle son kilometre ya da son mil olarak tanımlanan kısa mesafelerde ekonomik bir alternatif olması, trafik sıkışıklıklarından en alt düzeyde etkilenmesi ve bu sistemlerin çevre dostu olduğu algıları bulunmaktadır. Ancak bu düşünce ya da algıların ne kadar gerçeği yansıttığı üzerinde dikkatlice durulması gereken bir konudur. Mikromobilite sistemleri, özellikle zevkli bir kullanıma sahip olduğundan büyük oranda gençler tarafından oldukça popüler olmaya başlamış ulaşım türleridir. Ancak, güvenliği düşük, trafik sıkışıklıklarına çözüm sunamayan ve kamuoyunda oluşan genel algının aksine çevreye olumsuz etkileri olan bir alternatiftir. Yine de motorlu taşıtların yerine son kilometre ulaşımında tamamlayıcı bir ulaşım türü olarak kullanıldığında önemli ve olumlu bir ulaşım alternatifi sunmaktadır. Buna karşın, mikromobilite sistemlerinin etkinliğini belirlemek için sosyal fayda/maliyet analizleri gibi kapsamlı çalışmalar gerçekleştirilmeli, gerekirse bu sistemlerin kullanımına ilişkin önemli yasal düzenlemeler gerçekleştirilmelidir.

The gradual integration of driverless vehicles into urban traffic systems is expected to affect both operational performance and environmental outcomes, particularly during the mixed-automation phase of urban traffic systems, in which human-driven and driverless vehicles coexist. However, existing studies have rarely examined this phase through jointly accounting for behavioral heterogeneity among human drivers and varying levels of driverless vehicle penetration in signalized urban networks. This study addresses this gap through a behavior-based microscopic traffic simulation framework that explicitly incorporates different human driving styles together with driverless vehicles across penetration levels ranging from 0% to 100%. Network- and link-level indicators, including delay, queue length, fuel consumption, and emissions, are evaluated under coordinated signal control conditions. The results reveal a nonlinear relationship between the automation level and traffic performance. While changes remain limited at low and moderate penetration levels, more pronounced improvements emerge beyond a critical threshold of approximately 75% driverless vehicle penetration. At this level, network-wide average delay reductions of about 3–5% are observed, accompanied by consistent decreases in fuel consumption and emissions. By highlighting how behavioral interactions shape the effectiveness of automation, the findings provide practical insights for traffic engineers and urban planners, supporting the design and evaluation of signalized urban arterials under mixed traffic conditions while contributing to environmental sustainability and sustainable urban mobility through improved traffic efficiency and stability.