TrafikSense: Intelligent adaptive traffic signal
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This presentation describe how deep learning can be used to optimise traffic flow and reduce wait time
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TrafikSense: Intelligent adaptive traffic signal
- 1. Traf kSenseReInventing Urban Mobility
- 2. Mission statement: Improve urban mobility using Intelligent traffic management solutions
- 3. Guess ? - 16 M Rides ( 2020 ) - 3000 traffic police - 60,000 crores wasted - 8 billion hours wasted (USA)
- 4. The problem Non adaptive traffic Signal Conventional Traffic Flow Management
- 5. Solution - Smart Signals - Use CV for car detection - Internetworked Signals - Deep Neural Networked Brain
- 6. How it works Computer Vision Unit Artificial Intelligence Unit Timer Config Unit Video Feed Upstream DownStream
- 8. Revenue model - Data Collection - Smart automobile integration - Improved Urban Infrastructure planning - Optimizing logistic and delivery based on data driven data Traffic Management Centers & Urban Planners Automobile Logistic Company
- 9. Market Size Global Smart City Metro City ➔ $33.89 Billion by 2020 ➔ 11.57 % CAGR for 2015-2020 period ➔ $233 million allocated for India ➔ For ITS India has targeted ➔ 353 intelligent traffic light planned in bangalore ➔ Project planned worth 175 Cr INR
- 10. Competition Spectrum MioVision Inrix Waze Metrocount DataCorp Vaani Infra Luminator DriveCam Onnyx EfKon Bel WioMax RapidFlow TrafikSense TrafficDataAnalysis AI Traffic Management System Global India CityLog
- 11. Competition Comparison Value TrafikSense ITS AI TMS AI based traffic management Advance Traffic Prediction and Prevention mechanism Primary focus - Indian Market ( with future goal to go Global ) Advance Data Collection and analysis
- 12. Market for AI Traffic Management - Validated by transportation experts Dr. Ashwin Mahesh, Dr. Anvita Arora, Dr. Geetam Tiwari, V. Manjula - Positive feedback regarding the installation of AI based system for traffic management. Market for Data Collection/Analysis Platform - Deployment in CMU - Directorate of Urban Land Transport has agreed for pilot testing - Few Companies exist in this field Validation
- 13. Milestones May 2016 Aug 2016 Oct 2016 Dec 2016 Feb 2017 Pilot Deployment Apr May Jun Jul Aug Sep Oct Nov Dec Jan Feb Mar Hardware Integration & Lab Testing Simulation Execution Vehicle Detection Algorithm Ideation & Field Research
- 14. The Team Answer the question, “Why are we the ones to solve the problem we identified?” Nikita Bhalla Navneet Kumar Param Bole B.Tech, IIT Kanpur B.Tech, IIT Kanpur Full Stack Engineer Security Research Business Consulting B.E.(Hons.) BITS Pilani Artificial Intelligence App Development People’s Person B.Tech, MSRIT Backend Engineer Machine Learning Srartup Enthusiast
- 15. Advisors Answer the question, “Why are we the ones to solve the problem we identified?” Gaurav Arora Ashwin Mahesh Gitakrishnan Co-founder & CTO Noroc Solution IIT Roorkee - Computer Science IIM Bangalore Founder, Traffic Management Center Founder, LITHIUM Member, BTRAC Ass. Professor, IIT Madras Civil Engineer, IIT Roorkee Transport Expert You ?
- 16. - Mentorship - Network with SME - Regulatory Support - Funding - Global Exposure - Infrastructure What we need from you ?
Editor's Notes
- No innovation in traffic lights
- Cameras to detect detect sophisticated algorithms to instantly adjust signals based on real-time conditions. Each intersection will build a plan that will optimise local traffic flow. USP on technical front : Deep Network of smart signal
- Video Feed to Video processing unit AI brain unit ( collection of reinforcement learning models ) Uses information from neighboring nodes Dynamic timing of signal phases
- Simulation result Measured performance : 25 % improvement in wait time Queue length decreases
- Realtime massive Data => Govt & Police data initiative talked & Crime predictions & Prevention Value to urban infrastructre planning, Traffic flow bottlenecks Smart cars integrations Logistic & Delivery : Quantifiable way Urban Planners : Smarter urban infrastructure planning Car manufacturers : Companies like Tesla, BMW, Audi etc have shown interest in dynamic content concerning the fastest routes, travel times and parking availability to personalized in-car entertainment. Advertising Industry : Helping in intelligent placement of out of house advertisement by counting the number of people that are exposed to a billboard message. Logistic Companies : Optimizing logistics with data driven algorithm which depend on traffic data.
- Global : 34 B $ National level : $233 M City level : 175 cr around 350 intelligent lights
- Two isolated sectors : Traffic data analysis & ITS Intersection of domains : No Indian company
- 4 point values system USP Deep brain for traffic Predictions Tailored toward India traffic patterns Realtime data analysis
- Validated from transport experts V Manjula : Directorate of urban land transport Global pilot programme
- Started In May Core brain : Vehicle detection algo Core brain : AI portion Next : Hardware Integration Feb 2017: Field deployment
- Gaurav : Enterpreneur mentorship Domain Expert : Ashwin Mahesh => BTrac => 350 cr worth project by karnata govt, Prof. Gitakrishan => Civil engineer & Transport expert
- Access to numas foreign contacts and offices and network (global exposure) Mentorship (BATF) naresh narasimhan