Traffic state estimation is a crucial elemental function in Intelligent Transportation Systems
(ITS). However, the collected traffic state data are often incomplete in the real world. In this …

Freeway traffic state estimation and prediction are central components in real-time traffic
management and information applications. Model-based traffic state estimators consist of a …

An online calibration approach that jointly estimates demand and supply parameters of
dynamic traffic assignment (DTA) systems is presented and empirically validated through an …

Traffic and transport research is truly attractive to me. To explore the problem that relates
closely to our life also motivates me. This is the reason why I dive into the field of traffic …

The accurate estimation of expressway traffic state can provide decision-making for both
travelers and traffic managers. The speed is one of the most representative parameter of the …

The headway distance between vehicles in a platoon is difficult to measure unless the
vehicles are equipped with costly equipment such as laser or radar sensors, or an image …

The convenience of vehicle traffic flow models provides flexibility in conducting traffic state
estimation based on data collected from moving sensors. In this paper, we propose a …

Les modèles de trafic ont une importance capitale pour la compréhension et la prévision
des phénomènes liés aux conditions de circulation. Ils représentent une aide précieuse à …

抄録 車群追従走行する各車両の車間距離を推定する試みを行った. 状態方程式を車間距離の保存
則, 観測方程式を追従モデルでそれぞれ定式化し, オンラインで観測される車両の加速度と速度を …