Hubli, a bustling city in India, showcases a unique blend of transportation modes with a significant reliance on bicycles, motorcycles, and cars. In 2024, Hubli's traffic data reveals a balanced use of bicycles, motorcycles, and cars, each accounting for approximately one-third of the commuting methods.
Traffic congestion tends to increase during the monsoon season due to waterlogged roads. Winter months see a slight decrease in traffic as cooler temperatures encourage walking and cycling.
Frequent traffic jams during peak hours lead to increased travel times. Limited public transportation options force reliance on personal vehicles.
Early mornings before 8 AM and late evenings after 8 PM are ideal for avoiding heavy traffic. Midday travel between 11 AM and 2 PM generally experiences less congestion.
Public events and festivals often lead to road closures and increased traffic congestion. Planning alternative routes during such events can help avoid delays.
Hubli is exploring the expansion of bicycle lanes to promote eco-friendly commuting. Initiatives to increase green spaces and reduce vehicular emissions are underway.
Ride-sharing services have helped reduce the number of cars on the road, easing congestion. Increased adoption of ride-sharing could further alleviate traffic issues and lower emissions.
The Traffic Index for India combines user-contributed data on commute times, traffic dissatisfaction, CO2 emissions, and traffic system inefficiencies in India, to provide insights into overall traffic conditions.
Encouraging the use of bicycles and motorcycles could help mitigate CO2 emissions.
Optimizing traffic signals and road infrastructure may reduce inefficiencies and improve commute times.
Hubli's CO2 emission index is notably high at 6033.33, indicating significant environmental impact.
Efforts to reduce emissions could focus on promoting cleaner transportation methods.
TimeThe time index stands at 41.67, reflecting moderate traffic delays.
Improving traffic flow could enhance commute efficiency.
InefficiencyWith an inefficiency index of 141.91, there is room for improvement in traffic management.
Addressing inefficiencies could lead to reduced travel times and better resource utilization.