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state governments the authority data as a primary thing before
to initiate schemes for in-depth making any transport related
studies on causes and analysis decisions. Innovary Technologies
of motor vehicle accidents. are working with top Traffic
In addition, state road safety professional across the world
authorities and committees are (from the US, the UK, Middle
being setup to monitor and East, Australia and Germany).
control road accidents. While Subodh Kumar Sharma,
there are good policies available, Co-founder & CEO, Innovary
implementing a successful system Technologies – India, explained,
still requires a lot of capacity “The ecosystem of data-driven
building towards educating and road safety revolves around the
empowering the road safety data used to make decisions. Data
stakeholders on the science must be result oriented to improve
behind road safety and on road safety. The only vision of data- • Traffic infrastructure like
creating data-driven, targeted driven road safety is to ensure that construction of roads, bridges,
and result- oriented action plans no one would be killed or injured flyover, sidewalks, etc. must
for improving road safety. on the road. Data-driven result be constructed based on
Rajaraman explained, “ The improves the road safety with the vehicular and pedestrian
recent ministry notification about respect to the number of vehicles. data collected by Traffic Data
increasing fines and speed limits is Day-by-day, the government Collection companies.
a good example. While increasing is implementing new rules and Challenges in gathering
fines is a good deterrent, the regulations to focus on data- the data
problem on the ground is the oriented road safety. They are
poor enforcement techniques making changes in the driving Sharma believes that traffic
employed by police officers License Act and making the data is the heart of transport
and motor vehicle inspectors, new drivers more educated on projects and road safety. But it is
especially on highways and rural traffic rules. Below are the few not easy to collect the accurate,
roads. If the enforcing officer on preconditions implemented by comprehensive, appropriate,
the road is not adequately trained government to improve road result-oriented, and cost-effective
to adopt data-led enforcement safety through the data. traffic data. So, most of the
techniques and conducting • Implementing precondition transport professional relay on
enforcement operations in a safe for automated vehicles before the old or traditional way of data
and professional manner, then the moving onto the road. collection procedures. Due to
fines may not have much impact lack of inadequate data tools and
on improving road safety in the • Fining procedure to increase budget, it is hard to get the exact
long run.” awareness and promote road traffic pattern and thus the data
safety.
Hence, we need to bring in driven road safety. These are not
science in road safety decision/ • Vehicle inspection requirements the only challenges, but political
policy making through adoption to monitor the health of priorities are also becoming the
of data-driven techniques. vehicles in order to reduce the big challenges in certain areas and
Fortunately, we are moving risk to road safety. overshadow the real-world data.”
in this direction slowly but • By improving and reforming To move into the real time traffic
steadily. the skills and abilities of drivers. data insights, transport planners
Bengaluru-based Innovary This reformation on training must change the way they collect
Technologies, a Traffic Data will improve citizen’s abilities the data. The procedure of data
Collection and Analysis firm to drive safely on road. collection should be standard
has helped many transport • Continuous improvement and and must adhere with the ISO.
professional (local as well as monitoring of traffic equipment Only qualified and experience
government agencies) to use used in Traffic Signals, etc team can help to achieve this. The

26 June-July ’19 / TrafficInfraTech www.trafficinfratech-com-500653.hostingersite.com