The paper presents a classification and analysis of the results achieved using fuzzy logic to
model complex traffic and transportation processes. Fuzzy logic is shown to be a very …

This paper involves a field test on 60 test participants to characterize driver behavior
(perception-reaction time (PRT) and stopping/running decisions) at the onset of a yellow …

Signal lights are essential for maintaining the operational efficiency and safety in urban road
networks. Operational efficiency and safety at intersection have been two important topics in …

Fuzzy logic is shown to be a very promising mathematical approach for modelling traffic and
transportation processes characterized by subjectivity, ambiguity, uncertainty and …

The transportation phenomena, as a manifestation of the complex human, social, economic,
and political interactions, are filled with uncertainties. In order for the analysis of …

To develop a driver assistance system with the goal to increase driving efficiency, we aimed
at understanding unassisted driving behaviour. With this knowledge, we will then be able to …

The" dilemma zone"(DZ) is defined as the area where drivers approaching a signalized
intersection must decide to either proceed or stop at the onset of the yellow indication …

This paper examines the nature of uncertainty present in transport planning and explores
appropriate mathematical treatment. Two types of uncertainty are dealt with: vagueness and …

In this research, we aim to design real-time fuzzy bus holding system (FBHS) for the mass
rapid transit (MRT) transfer system with real-time information for a terminal station with in a …

Traffic accidents at signalized intersections are influenced by many environmental factors,
including site layout, traffic volume, and signal operation. However, most traffic accidents are …