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:
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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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