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With this challenge we aim to create a platform to collect, manage, process, analyze, predict and distribute huge amount of vehicle information and data received from transportation infrastructure sensors and third parties, in real time to solve transportation challenges. Our aim is to :
- 1. Understand the impact of unique V2V and V2I data points on prediction of user behavior and traffic patterns
- 2. Demonstrate the information management & analytics of data gathered from connected vehicles and smart infrastructure to cater to new and more accurate ways of analytics
- Related keywords
- Artificial intelligence
- machine learning
- deep learning
- IoT
- data virtualization
- data visualization
- predictive analytics
- Social challenges to be addressed through collaboration
- 1. Better Transportation Infrastructure Planning
- 2. Optimal use of smart infrastructure resources
- 3. Provide analytics without compromising privacy and policies
- 4. Improved traffic experience due to early advice and personalized recommendations
Target8：
DECENT WORK AND ECONOMIC GROWTHTarget9：
INDUSTRY, INNOVATION AND INFRASTRUCTURETarget11：
SUSTAINABLE CITIES AND COMMUNITIES
- Market size of collaboration business or business scale
- Approximate market size : $5M per year, possibly tripling by 2021. Prospective share of collaboration : 30-50%
- Assets and opportunities to be offerred
NTT DATA's Big Data Platform, open traffic data
