Others research lines in India:

• Impact of Car pooling, share auto concepts on traffic flow.
• Right ITS measures and tools for Indian cities?
• Evolving effective traffic management strategies during post-disaster scenario?
• Need to research and define the role of NMT (access only or main mode) in overall mobility of the city (for larger, medium, and smaller cities).
• Need for change in planning and policy guidelines, to provide seamless travel using NMT.
• Development of credible ways to assess the impact of pedestrianisation, pedestrian zones etc.
• Ways to integrate hawkers and vendors as part of the pedestrian policy and facility design guidelines.
• Providing pedestrian facilities and developing standards for the same.
• Effective geometric design for NMT to provide seamlessly connected and safe travel across the city.
• Identification of factors that may encourage the use of NMT modes in Indian cities.
• Understanding the effect of urban density, mixed land-uses, neighborhood features etc. on NMT use.
• Understanding the potential of traffic calming in pedestrian safety
• Developing the models that reflect the impact of changing land use and /or control policies, slum development etc. on transportation and vice versa.
• In cases where infrastructure expansion is not possible, assessing the required land-use control considering the holding capacity of transport infrastructure.
• More realistic modelling of mode split, including walk, public transport modes (auto-rickshaws, taxi, bus and rail), and private transport (motorcycle and car).
• Stated response surveys – how to facilitate use of complex choice scenarios for more reliable behavioral models and more accurate response forecasting.
• Exploring possibilities of considering environmental and social cost as part of the planning process (particularly for planning a new urban mass transit or urban road corridor) rather than during post-planning impact assessment.
• Activity based modelling – still to be developed and attempted in India for possibly better travel demand modelling?
• Better data collection techniques involving technology – for credible and accurate travel and household data (for accurate position, route, distance/time information).
• More realistic assignment of trips to rail and bus networks taking into account the condition in trains, variations in bus speeds and frequency due to changes in overall traffic volume and fares.