in traffic rules, and mechanical damage in car that
caused by bumps, now it is possible using wireless
vehicle deceleration speed system (WVDSS), which
is based on wireless network that provide signal to
the vehicle through alternate signals, used for alarm
the driver.
Wireless vehicle deceleration system, the system
formed from sender or distributor signals and a
receiver, which the distributor must place at the
supposed bump locate, and the receiver in the
vehicle, the sender device distributes the signals to be
detected from the receiver of the incoming vehicle,
when the receiver starts to detect the signals from the
distributor, these signals provides information to the
vehicle in order to start alarming driver or reducing it
speeds, depending on the strength of the received
signal, if it was strong that’s mean the vehicle speed’s
must be reduced to the allowable speed [ 12, 13].
If the driver does not make an action, WVDSS is skip
to next step, which is responsible to process the input
signals that coming from different devices and sends
a signal to different actuators to control the speed in
gasoline engines Wireless vehicle deceleration speed
system is focus of three main categories:
- Network.
-Road.
-The vehicle.
Many researchers discussed this issue, the first study
by Salameh A. Sawalha, [7], created a system that
aimed to regulate vehicle’s speed in accordance with
the road and road regulations. The system finds out
the whereabouts of the vehicle then it identifies the
allowed speed for that individual place. After this, it
starts decreasing the speed bit by bit till it reaches the
fascinating limit. Once the vehicle runs, The GPS
finds the placement of the vehicle then it sends the
great circle and therefore the latitude to the
management unit to spot the regulation of the road.
If it's found that the vehicle speed exceeds the
permissible limit, a symptom is distributed to the
brake to scale back the speed till it drops to the
utmost limits. one in every of the foremost vital
options of the system is that it senses the distances
between 2 vehicles victimizing the inaudible sensing
element, that permits a precise distance between them
commensurate with their speed, which ends up in no
accidents and accidents. All this can be evaded
Olympian the regulation of the streets. Within the
event of a system failure within the event of any
malfunction, a warning message containing the
vehicle range and knowledge concerning it'll be sent
to the Traffic Department as a comment [7] .
A. Christy, S.Vaithyasubramanian, Viji Amutha Mary,
Naveen Renold J., [8], presented a successful
technique for automatically controlling the
decelerating system by proactively recognizing
accident-prone zones and avoiding accidents from
occurring for effective operation of the decelerating
system, this technology employs Arduino, L293d
motor driver, and ultrasonic sensor, Machine Learning
methods, RFID, and RFID protocols. This technology
must be embedded in a vehicle's dashboard and backed
by secure RFID and machine learning algorithms in
order to properly operate the decelerating mechanism.
To reduce the incidence of accidents, the driver’s
driving style in different situations is analyzed using
the Car Trips data log and the terra acelerolinear
dataset. The trained data is used to develop a mobile
application which when installed in the windshield of
the vehicle helps the driver to control the deceleration
system thus avoiding accidents and reckless driving
[8].
Zutao Zhang, Dianyuan Luo, Yagubov Rasim, Yanjun
Li, Guanjun Meng, Jian Xu, and Chunbai Wang [6],
projected a lively vehicle controller safety model
supported driver alert detection, scattered illustration
victimization cheap, convenient and wearable medical
instrument EEG sensors, and thin illustration. The
projected system is split into 3 main steps: a wireless
wearable EEG assembly, driver alertness detection,
and a vehicle speed management methodology. 1st of
all, a convenient, low-cost, wearable, home-made
brain-computer interface (BCI) system with eight
channels for collecting the driver’s EEG signal was
designed. Second, waveform noise removal and
sample bottoming algorithms square measure wont to
improve the standard of EEG information, and a Fast
Fourier rework (FFT) is adopted to extract the EEG
Power Spectrum Density (PSD). At now, PSD is an
iniative to assess the driver's attention level
victimization thin illustration classification plus k-
single-value analysis (KSVD). Finally, to avoid major
collisions and traffic accidents, a novel vehicle speed
management safety strategy has been projected, that
regulates electronic throttle gap and automatic braking
once driver fatigue is recognized victimization the
preceding approach. Simulation and actual take a look
WSEAS TRANSACTIONS on SYSTEMS and CONTROL
DOI: 10.37394/23203.2022.17.45