Transcript Document
Make city roads smarter today!
Pravin Varaiya
Electrical Engineering & Computer Sciences, UC Berkeley
Institute for Advanced Study, Hong Kong UST
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Outline
Why is traffic congestion so bad
Why is road network poorly managed
How to make our roads smarter
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Working population
Both % working age population and income are growing
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Vehicle growth faster than income
Vehicle ownership grows twice as rapidly as income in $3,000-$10,000 per
capita range
Number of vehicles will triple by 2030
Fig Source: Joyce Dargay, Dermot Gately and Martin Sommer, 2007, Vehicle Ownership and Income Growth, Worldwide: 1960-2030
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Auto market in developing countries
14.47% annual vehicle
growth in India
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Strains on road network
Population spread
– Rapid spatial growth and urban sprawl
Under-resourced road network
– Between 1970-2000 road network increased 3x, vehicles increased 16x
– Peak-time average speed10-15 kph on main roads; 21-39 kph on
arterial roads
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Why traffic congestion
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Increasing
working
population
+
Increasing
income per
capita
+
Increasing car
ownership
=
Urban traffic
congestion
Decreasing
car prices
+
Increasing
population
spread
=
Fastest growing
car market in
world
Under-resourced
road network
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Cost of poorly managed roads
Effects of Congestion
- Fuel loss at signalized intersections- Rs 995 crores per year,
Rs 80 lakhs daily @ Moti Bagh crossing
- Congestion delay costs Rs. 240 lakhs annually
- Vehicles in congestion emit nearly four times more pollution
- Autos greatest source of pollution (Delhi 66%, Mumbai 52%)
Accidents and fatalities
– More than 25 accidents and 5 fatalities per day in Delhi
– India has 1% of the world's cars, but 10% of traffic fatalities
– 5x fatalities of USA with 1/40x cars
– Economic cost of accidents in Delhi is estimated to be Rs.35 lakhs
per day
These costs can be reduced by better management
Source: Delhi Traffic Police Dept , Economic Survey of Delhi 2002
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Why poor management
Transportation planners and engineers have many
methods (theories and tools) to make road network
efficient
These methods need comprehensive traffic data
India’s cities need urban traffic data system to support
good road network management
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Urban traffic data system
Sensing, data backhaul,
data base, applications:
Road performance
Signal control
Transit priority
Emissions reduction
Parking policy
Traveler information
Incident management
Diversion …
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Conclusion
Urban auto traffic demand will grow rapidly
In absence of intelligent management the cost in fuel,
emissions, delay are excessive
Without measurement, management is blind
New (and existing) road networks should develop urban
traffic data system
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