It is observed that the majority of the accidents occur due to the driver's negligence of traffic and safety rules. Therefore, a system monitoring the speed and other desired automobile parameters can be installed in the automobile to warn the driver. This paper presents a wireless sensor network-based controlling and monitoring of automobile parameters, as a single unit. The accident-avoidance measures used currently are very less and also there's no correct accident detection mechanism. This study proposes a good Vehicle observance System for early detection of accidents and additionally to stop thefts. VMS uses machine learning based mostly image classification model. once the accidents happen the SVMS detects it directly and finds the severity of the accident. Then the system can directly inform that to the authorities and it is used to collect the details during the accident and it is transmitted to the police station. The sensors are connected with the vehicle to spot all the parameters like steering angle, speed, crash, safety belt wearing or not. All these details are stored in the webserver and during investigation it can be retrieved. It acts like a black box. At the time of crash, all these details are transferred to the insurance agencies to identify the real reason.

1.
R.
Sahbi
,
S.
Ghanemi
and
R.
Djouani
, "
A Network Model for Internet of vehicles based on SDN and Cloud Computing
,"
2018 6th International Conference on Wireless Networks and Mobile Communications (WINCOM
),
Marrakesh, Morocco
,
2018
, pp.
1
4
.
2.
S.
Al-Youif
,
M. A. M.
Ali
and
M. N.
Mohammed
, "
Alcohol detection for car locking system
,"
2018 IEEE Symposium on Computer Applications & Industrial Electronics (ISCAIE
),
Penang
,
2018
, pp.
230
233
.
3.
M. A. López
Peña
and
I. Muñoz
Fernández
, "
SAT -IoT: An Architectural Model for a High-Performance Fog/Edge/Cloud IoT Platform
,"
2019 IEEE 5th World Forum on Internet of Things (WF-IoT), Limerick
,
Ireland
,
2019
, pp.
633
638
.
4.
Zhuang
Ji-Hui
,
Xie
Hui
and
Yan
Ying
, "
Research and development of electric vehicle data collection and calibration platform based on GPRS and INTERNET
,"
2008 IEEE Vehicle Power and Propulsion Conference
,
Harbin
,
2008
, pp.
1
5
.
5.
Dai
,
Jin
Teng
,
Xiaole
Bai
, and
Zhaohui
Shen
. "
Mobile phone based drunk driving detection pervasive computing technologies for healthcare
."
International IEEE Conference.
Vol.
14
. No.
6
.
2010
.
6.
Minyoung
Kim
,
Jong-wook
Jang
,
Sung Hyun
Baek
,
Mi-Jin
Kim
,
Da-Woon
Jeong
and
Min-seop
Song
, "
Design of smart driving information check system using smart phone and wireless personal area network
,"
2012
Fourth
7.
Kuutti
,
Sampo
, et al. "
A survey of deep learning applications to autonomous vehicle control
."
IEEE Transactions on Intelligent Transportation Systems
(
2020
).
8.
Mallidi
,
S. Kumar
Reddy
, and
V. V.
Vineela
. "
IoT Based Smart Vehicle Monitoring System
."
International Journal of Advanced Research in Computer Science
9
.
2
(
2018
):
738
741
.
9.
Jacob
,
Christy
Mary
, et al. "
An IoT based Smart Monitoring System for Vehicles
."
2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184
).
IEEE
,
2020
.
10.
Cholapandian
,
V.
,
Yuvaraj
,
T.
, &
Devabalaji
,
K.
(
2021
).
Optimal allocation of capacitor banks in distribution networks using cuckoo search algorithm
.
2021 7th In ternctional Conference on Electrical Energy Systems (ICEES)
.
11.
Devabalaji
,
K.
,
Imran
,
A. M.
,
Yuvaraj
,
T.
, &
Ravi
,
K.
(
2015
).
Power loss minimization in radial distribution system
.
Energy Procedia
,
79
,
917
923
.
12.
Devabalaji
,
K.
,
Ravi
,
K.
, &
Kothari
,
D.
(
2015
).
Optimal location and sizing of capacitor placement in radial distribution system using bacterial foraging optimization algorithm
.
International Journal of Electrical Power & Energy Systems
,
71
,
383
390
.
13.
Devabalaji
,
K.
, &
Ravi
,
K.
(
2016
).
Optimal size and siting of multiple DG and DSTATCOM in radial distribution system using bacterial foraging optimization algorithm
.
Ain Shams Engineering Journal
,
7
(
3
),
959
971
.
14.
Devabalaji
,
K.
,
Yuvaraj
,
T.
, &
Ravi
,
K.
(
2018
).
An efficient method for solving the optimal sitting and sizing problem of capacitor banks based on cuckoo search algorithm
.
Ain Shams Engineering Journal
,
9
(
4
),
589
597
.
15.
Kaliaperumal
Rukmani
, D.,
Thangaraj
,
Y.
,
Subramaniam
,
U.
,
Ramachandran
,
S.
,
Madurai
Elavarasan
, R.,
Das
,
N.
,
Baringo
,
L.
, &
Imran Abdul
Rasheed
, M. (
2020
).
A new approach to optimal location and sizing of DSTATCOM in radial distribution networks using bio-inspired cuckoo search algorithm
.
Energies
,
13
(
18
),
4615
.
16.
Pal
,
P.
,
Parvathy
,
A. K.
,
Devabalaji
,
K. R.
,
Antony
,
S. J.
,
Ocheme
,
S.
,
Babu
,
T. S.
,
Alhelou
,
H. H.
, &
Yuvaraj
,
T.
(
2021
).
IoT-based real time energy management of virtual power plant using PLC for Transactive energy framework
.
IEEE Access
,
9
,
97643
97660
.
17.
R., S., C.K., S., K.R., D.,
Nataraj
,
S. K.
, & M., K. (
2018
).
Improved fault ride through capability of DFIG-wind turbines using customized dynamic voltage restorer
.
Sustainable Cities and Society
,
39
,
114
125
.
18.
Sitharthan
,
R.
,
Devabalaji
,
K.
, &
Jees
,
A.
(
2017
).
An Levenberg–Marquardt trained feed-forward back-propagation based intelligent pitch angle controller for wind generation system
.
Renewable Energy Focus
,
22-23
,
24
32
.
19.
Sitharthan
,
R.
,
Sundarabalan
,
C.
,
Devabalaji
,
K.
,
Yuvaraj
,
T.
, &
Mohamed
Imran
, A. (
2019
).
Automated power management strategy for wind power generation system using pitch angle controller
.
Measurement and Control
,
52
(
3-4
),
169
182
.
20.
Yuvaraj
,
T.
,
Devabalaji
,
K.
, &
Ravi
,
K.
(
2015
).
Optimal placement and sizing of DSTATCOM using harmony search algorithm
.
Energy Procedia
,
79
,
759
765
.
21.
Yuvaraj
,
T.
,
Devabalaji
,
K.
,
Srinivasan
,
S.
,
Prabaharan
,
N.
,
Hariharan
,
R.
,
Haes
Alhelou
, H., &
Ashokkumar
,
B.
(
2021
).
Comparative analysis of various compensating devices in energy trading radial distribution system for voltage regulation and loss mitigation using blockchain technology and bat algorithm
.
Energy Reports.
22.
Yuvaraj
,
T.
,
Devabalaji
,
K. R.
, &
Ravi
,
K.
(
2017
).
Optimal allocation of DG in the radial distribution network using bat optimization algorithm
.
Advances in Power Systems and Energy Management
,
563
569
.
23.
Yuvaraj
,
T.
,
Devabalaji
,
K. R.
, &
Thanikanti
,
S. B.
(
2019
).
Simultaneous allocation of DG and DSTATCOM using whale optimization algorithm
.
Iranian Journal of Science and Technology, Transactions of Electrical Engineering
,
44
(
2
),
879
896
.
24.
Yuvaraj
,
T.
,
Ravi
,
K.
, &
Devabalaji
,
K.
(
2017
).
Dstatcom allocation in distribution networks considering load variations using bat algorithm
.
Ain Shams Engineering Journal
,
8
(
3
),
391
403
.
25.
Yuvaraj
,
T.
,
Ravi
,
K.
, &
Devabalaji
,
K. R.
(
2017
).
Optimal allocation of DG and DSTATCOM in radial distribution system using cuckoo search optimization algorithm
.
Modelling and Simulation in Engineering
,
2017
,
1
11
.
This content is only available via PDF.
You do not currently have access to this content.