Traffic control and management

Autonomous vehicles represent a central component of future automotive technologies. One of the critical challenges in enabling this technology is the development of path following control systems. This study presents a linear quadratic integral (LQI) optimal control approach improved by particle swarm optimization (P…

Vehicle trajectories are time series, and entropy is a powerful tool for testing or quantifying the complexity of a given series. Entropy tools are often applied to variables such as velocity, acceleration, space headway, and time headway, but the local position data have not been addressed previously. The novelty of…

Bu çalışmada, trafik ışıklarını kontrol ederek dönel kavşaklardaki trafik akışını optimize etmek için pekiştirmeli öğrenmeyi temel alan bir çözüm geliştirilmiştir. Q-Öğrenme algoritmasını kullanan bir çözüm geliştirilmiş ve farklı trafik ölçütlerini eniyilemek amacı ile ödül ve durum mekanizmaları tanımlanmıştır. Döne…

No abstract yet.

Abstract This study analyzes revenue-neutral, time-varying congestion pricing in a bottleneck model with heterogeneous commuters by developing a transparent and tractable welfare framework to examine how schedule-delay heterogeneity shapes the untolled equilibrium, distribution of congestion costs across commuter grou…

This study extends the bottleneck model of commuting by incorporating heterogeneous arrival windows to reflect the diverse professional and institutional schedules in modern urban environments. By expanding Vickrey's foundational framework, this analysis demonstrates how group-specific timing constraints dictate the f…

No abstract yet.

Driver anger is a significant factor influencing traffic and transportation safety and has long attracted scholarly and scientific attention. Consequently, since the earliest studies, the number of publications addressing driver anger has risen rapidly. Nevertheless, there is a notable lack of knowledge regarding the…

No abstract yet.

No abstract yet.

Traffic is a union of flow regimes bound and defined by externalities such as roadway geometry, traffic control, interruptions, and climate conditions, as well as internalities such as driver behaviour, pedestrian behaviour and flow heterogeneity. The density along a roadway that manifests the speed of travel and volu…

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…