Road traffic crashes (RTCs) disproportionately impact low and middle-income countries
(LMICs). Current interventions in LMICs primarily target road user behavior, neglecting …

In this paper, a data-driven approach is used to process W-Beam Barrier monitoring data,
expecting to achieve online estimation of the number of trucks and accurate identification of …

Sustainable traffic behaviour is increasing in importance as traffic volume rises due to
population growth. In this paper, a model for traffic flow at a stationary bottleneck is …

To reveal the impact mechanism of low-speed vehicles (LSVs) on expressway traffic safety,
this paper uses the polynomial fitting method to establish evolution models of traffic density …

The traditional U-turn design has significantly improved traffic operations for relieving traffic
congestion. However, the U-turn diversion and merge segments still cause traffic conflicts …

The 21st century witnesses a surge in global population, leading to increased road traffic.
This study focuses on understanding factors impacting time delays at road bottlenecks. Data …

With the emergence of Connected and Autonomous Vehicles (CAV) and the development of
Intelligent Transport Systems (ITS), new traffic control strategies have emerged. This paper …

Traditional U-turn designs can improve operational features obviously, while U-turn
diversions and merge segments still cause traffic congestion, conflicts, and delays. An …

Magnetic loops are one of the most popular and used traffic sensors because of their widely
extended technology and simple mode of operation. Nevertheless, very simple models have …

The deployment of C-ITS and Connected Vehicles (CVs) in traffic induces a wide variety of
connectivity and cooperativeness levels among road users. In this context, there is a need to …