AI enabled traffic load distribution in Tier II cities

Upcoming urban centres in India are facing worst of traffic issues because of dependence on very few major roads and old infrastructure.

Decentralization and Cost effectiveness is the key principle that lead to seadd

Instead of building new long roads and causing severe destruction in city because of it, simpler solution led to construction of passages by widening existing roads. According to statistics only 37.4 % resource and only 13% time consumption can decrease the load by 42 percent.
Internal network of passages creates an alternate route without hindering the traffic of main road of town. All streets connecting proposed passage in average 11% less than they can connect to main road.

Traffic decentralization

Analytics discovers decentralization of traffic can save fuel consumption by 18 percent, up to 13 percent longer routes yields less travel time.

Denial of access to major roads to every street

In order to achieve better distribution only appeal by administration to public for using alternative routes won’t work effectively so, the streets must be diverted to alternative routes rather than main road.

Route pressure reduction

Identification and effective utilization of low load period has enabled traffic control with more load distribution opportunities,

Free flow

Innovative road crossings, u-turns and over-bridges have made it easier to

Parking location

Effective location of parking space in major city shopping centres, railway stations, bus stands, and airports.

Pollution indicators

In synchronization with emission data system increases or decreases the traffic load from junctures.