Ajmer, a city in India, primarily relies on cars and motorcycles for commuting, with each mode accounting for 50% of the transportation share. The city's traffic data reveals insights into commute times and CO2 emissions, providing a snapshot of the current transportation landscape.
Traffic tends to increase during the tourist season, particularly around major festivals. Monsoon rains can also lead to temporary disruptions and increased travel times.
Limited public transportation options force reliance on personal vehicles. Traffic congestion during peak hours can lead to delays despite short distances.
Early mornings and late evenings are generally the best times to travel to avoid congestion. Midday travel can also be less congested compared to peak hours.
Public events and festivals can significantly impact traffic, leading to road closures and diversions. Planning travel around these events can help avoid delays.
Ajmer is exploring initiatives to promote cycling and walking to reduce reliance on motor vehicles. Efforts to enhance the city's green spaces and pedestrian pathways are underway.
Ride-sharing services are gradually gaining popularity, offering an alternative to personal vehicle use. These services can help reduce the number of vehicles on the road, easing congestion.
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.
Ajmer's reliance on cars and motorcycles contributes to high CO2 emissions.
Improving public transportation options could reduce traffic inefficiencies and emissions.
Ajmer has a CO2 emission index of 1730, indicating a high level of emissions relative to its size.
Efforts to reduce emissions could focus on promoting alternative transportation methods.
TimeThe time index is 7.5, suggesting relatively short commute times within the city.
Despite short distances, traffic inefficiencies may still impact travel times.
InefficiencyThe inefficiency index stands at 17.35, highlighting potential areas for improvement in traffic flow.
Addressing traffic bottlenecks could enhance overall commuting efficiency.