  The primary goal of this paper is to examine the motorcyclists' activities
during the overtaking period, as well as to develop a model of total overtaking
time. For the experimental study, instrumented motorcycles were used to collect
data and design an overall overtaking period model. The possibility of death
during an attempt to overtake is maximum for people walking on rural roads,
mainly identified by a scarcity of pathways and higher speeds of vehicles. It
is important to recognize and prototype driver actions during the overtaking
moves to set up collision avoidance strategies in order to prevent these
collisions, such that device adjustments are acceptable as they occur beyond
the comfort zone of the drivers. The purpose of this research is to address
both vehicle overtaking movements along urban roads and to develop a collision
avoidance system. This research, based on tests performed and instrumented
driving information, may lead to the discovery of advanced driver assistance
systems, analyzing driver behavior during overtaking. A total of 500 overtaking
movements were registered with 50 motorcycles set up with a high-resolution
camera and GPS system implemented by 50 professional bikers in India in an
undivided one-way road. A technique was developed to collect data explaining
the actions of the motorcyclists, based on video and GPS analyses. The overall
overtaking period was designed using a risk-based model, which indicates the
span of the overtaking based on several coefficients. The proposed model is
useful to analyze the behavior during overtaking moves, as well as to develop
road and vehicle safety systems to reduce the chances of accidents.
