Accurate traffic state (ie, flow, speed, density, etc.) on an urban road network is important
information for urban traffic control and management strategies. However, due to the …

The macroscopic fundamental diagram (MFD) describes the traffic state of a relatively large
urban network by relating aggregated traffic variables. More research effort needs to be …

Video‐based moving vehicle detection and tracking is an important prerequisite for vehicle
counting under complex transportation environments. However, in the complex natural …

Traffic congestion is an important problem faced by Intelligent Transportation Systems (ITS),
requiring models that allow predicting the impact of different solutions on urban traffic flow …

The transportation sector is a major source of traffic congestion and greenhouse gas (GHG)
emissions in urban areas. This study aims to design the system-optimal (SO) traffic …

In this paper a Bayesian method is proposed to estimate dynamic origin–destination (O–D)
demand. The proposed method can synthesize multiple sources of data collected by various …

Integration of multiple, heterogeneous sensors is a challenging problem across a range of
applications. Prominent among these are multi-target tracking, where one must combine …

Abstract The Sensor Location Partial and Full Observability Problems consist in determining
the best placement of sensors on a network to allow partial or full observability of a given set …

With the continuous improvement of human living standards, population aging has become
a global development trend. At present, China has entered an aging society, the health and …

Accurate origin-destination (OD) matrices, which represent the travel patterns of individuals
or groups between different locations, are vital for traffic planning and logistics. Traditionally …