Scenario 1 shows a typical intersection under business-as-usual urbanization in 2030.
Without upgraded technology, traffic lights and parking spaces are used inefficiently, limiting the value of public spaces.
Daytime commercial deliveries and large freight vehicles block the roads.
Trains are delayed due to unexpected maintenance work, forcing passengers to wait on the platform.
To meet rising demand for transit, cars and buses pack the streets.
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Congestion increases, and riders pack onto trains.
Individual AVs take to the roads, displacing many fixed-route buses and conventional cars. This increases congestion and stresses transportation systems.
Without new infra-
structure or policy, AVs and conventional vehicles find it difficult to share the road, and there is little improve-
ment in traffic or parking management.
Scenario 2 shows a typical intersection under unconstrained autonomy in 2030.
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Scenario 3 shows a typical intersection under seamless mobility in 2030.
With new infrastructure and policies, AVs are able to drive closer together, increasing road capacity.
Intelligent traffic lights minimize wait times; smart parking makes finding a space more efficient.
Commercial deliveries are shifted to off-peak hours; parcel lockers are installed for daytime pickups.
Shared AVs largely replace fixed-route buses and private cars.
Some parking areas are reclaimed for public spaces.
Electric vehicles are encouraged through policies such as priority parking and provision of charging stations.
Taking advantage of autonomous operations and predictive maintenance, trains run faster and more consistently.
Bikesharing and
e-scooters improve last-mile options to the train station.
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