Traditional Automated traffic signal control systems normally schedule the vehicles at intersection in a pre-timed slot
manner. This pre-timed controller approach fails to minimize the waiting time of vehicles at the traffic intersection since it does not
consider the emergency conditions. Delays due to traffic congestion affects efficiency and response time. Emergency vehicle service is
one of the major services which get affected by traffic jams. Proposed system is, once vehicles enter into the vicinity of traffic signal
area, the vehicles continuously send their positional information to the centrally located fog node on traffic signal and accordingly
traffic signal is monitored. The basic idea is to minimize the waiting time of ambulance, Fire Brigades and Police Vans using Fog
Computing.
Published In:IJCSN Journal Volume 7, Issue 1
Date of Publication : February 2018
Pages : 18-21
Figures :03
Tables : --
Neha Sharma : Department of Computer Engineering, Gokhale Education Society’s R. H. Sapat College of Engineering,
Nashik-05, Maharashtra, India.
Pooja Rampariya : Department of Computer Engineering, Gokhale Education Society’s R. H. Sapat College of Engineering,
Nashik-05, Maharashtra, India.
Akshay Mahashabde : Department of Computer Engineering, Gokhale Education Society’s R. H. Sapat College of Engineering,
Nashik-05, Maharashtra, India.
Aishwarya Mandale : Department of Computer Engineering, Gokhale Education Society’s R. H. Sapat College of Engineering,
Nashik-05, Maharashtra, India.
Cloud database, Fog server, Traffic signal control, Smart cities and smart traffic lights, Traffic congestion control, Realtime
traffic management system, Smart transportation
Human life is very precious. Little delay in reaching
hospital may prove fatal to patient’s health and may also
increase criticality.
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11539
[6] For fog server: "https://www.openfogconsortium.org/
[7] Fog computing devices:
https://crossertech.com/products/
