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JAN RAKSHAK COOPERATIVE MOBILITY ENHANCEMENT and CONTROL SYSTEM (C-MECS) CITY For Empowering Smarter Mobility.

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Presentation on theme: "JAN RAKSHAK COOPERATIVE MOBILITY ENHANCEMENT and CONTROL SYSTEM (C-MECS) CITY For Empowering Smarter Mobility."— Presentation transcript:

1 JAN RAKSHAK COOPERATIVE MOBILITY ENHANCEMENT and CONTROL SYSTEM (C-MECS) CITY For Empowering Smarter Mobility

2 JAN RAKSHAK COMMUTERCONTROL ROOM

3 Ability to monitor and react to incidents / bottlenecks but not anticipate and intervene to prevent or reduce their impact Lack of ability to identify and focus on critical incidents in real time to inform stakeholders accordingly Wide diversity of “Localized ” traffic management solutions that are proprietary and not interoperable Lack of ability to integrate historical and real time data to enhance insight and analysis of traffic flow patterns over time Political and public pressure to reduce congestion, realize energy social and environmental impact, and generally improve commuter experience Traffic Operation Challenges

4 Provide Real Time Information to stake holders and commuters Ensure Safe & Secure journey Provide Visuals & Data Information for Actionable Intelligence Bring Public participation Public sharing of information through apps and website Objectives `

5 The Need (chief of transportation operations, head of transit operations & planning) Reduce operation costs, increase revenue Reduce traffic congestion Improve performance against transit schedule Respond faster to incidents, improve citizen advisory Intelligent Transportation(Jan-Rakshak): Overview RadarCameraLoop... TrainTramBus... TrafficTransit Solution Scenarios  Traffic congestion & incidents identified, addressed rapidly  Resources are used & deployed proactively, efficiently  Rapidly respond: public transit re-routing, schedule changes Smarter decisions enabled: Collect traffic data, analyze, present: real-time visibility, historical patterns, predictive inferences to traffic operators and planners Collect location & time table data, analyze, present: real-time visibility, vehicle arrival prediction inferences to transit operators and planners

6 Intelligent Transportation provides citywide traffic operations and transit operations capabilities Real-Time and system-wide visibility of traffic & transit networks Historical performance insights of traffic & transit operations Proactive management of traffic congestions and transit schedule deviation issues through predictive insights On-premise and cloud delivery Real-Time and system-wide visibility of traffic & transit networks Historical performance insights of traffic & transit operations Proactive management of traffic congestions and transit schedule deviation issues through predictive insights On-premise and cloud delivery Traffic Operations Congestion Management Better Informed Motorists Schedule Management Transit Operations  Offer visibility  Improve flow  Predict issues  Offer visibility  Improve flow  Predict issues Navigation system

7 Transformative, centralized management of traffic operations built on advanced analytics and collaborative processes Solution Theme: Smarter Traffic Operations Improve traffic operations and citizen driving experience using predictive analytics & collaborative incident management Improve decision making: Gain real-time situational awareness about current traffic performance and issues Improve service to citizens: Minimize negative human and commercial impact of congestions and incidents through proactive decisions Lower cost of upgrade: Lower solution cost leveraging prior investments and expanding the technology/vendor options Improve coordination & control: Dashboards that integrates operational tools and optimizes workforce Implement auditable best practices: Implement auditable collaborative processes for flow optimization and incident management

8 How it Works Traffic data is captured using technology options that include loop detectors, radars, cell phone data, video analytics (IVA) and data providing partners IBM Intelligent Transportation collects, analyzes and presents real-time visibility, historical patterns and predictive inferences Standard operating procedures for daily operations and integrations with transportation devices are built RadarCamera Loop... Adapters Traff ic Opti miza tion Incident Mgmt. 60 Intelligent Traffic Management Center Dashboard

9 Real Time CCTV Camera View Features Average Speed in City Average Speed Route, Section 14 Average Speed 60 KMPH 70 KMPH Noida city

10 Estimated time of Arrival Journey Time Ready to go? Panipat, India Via Grand Trunk Hwy (NH-1) Features cont.. ETA 17:04 98 km Virtual VMS Variable Messages on Mobile NH 1, Section 16 Virtual VMS

11 CONTROL ROOM 1.Validates Incident. 2.Publishes on Commuters Jan Rakshak App and VMS. Jan- Rakshak Accident Ahead drive Slow!!! Alert Incident Occurred!! Incident Reporting Proposed Solution

12 Proposed Solution for smooth & Safe city drive  Adaptive Traffic Control System (ATCS)  Adaptive Navigation System  Parking Guidance System  Speed Enforcement  Red Light Violation Detection System

13 ATCS  Remote Administration  Eco-friendly(Solar Power used)  Wireless communication  Self diagnostic  Based on CoSiCoSt model  Used real time data to optimize signal  Best for Indian traffic scenario  Successful implementation in various cities

14 Adaptive Navigation System

15 Parking Guidance System  Guide the commuters towards parking slot  Display the available slot in multi level parking  Mobile app shows available parking slot of desired location

16  Automatic detection  Image capture  License No. plate recognition by ANPR  Collect relevant parameters i.e. speed, date, time, location  Data transfer to central control room  Ticket generation against owner Speed Enforcement

17  Vehicle detection  Capture Image & video  Get LPN using ANPR system  Collect relevant parameters  Information Transfer to the central control room  Ticket generation against the owner Red Light Violation Detection

18 Events Incidents Events Incidents Events Incidents Leverage Information Anticipate problems through analytics Coordinate resources and response using actionable intelligence InsightDataEvents / Incidents Intelligent Operations Center (Underlying Product) Collecting and analyzing data, while automating a collaborative response

19 Key Capability 1 : Traffic Awareness Customer Pain Points Addressed:  Lack of traffic situational awareness leading to little or no ability to manage traffic flows and incidents  Lack of system-wide visibility for traffic condition & incident information due to very localized scope of existing traffic management systems  Wide diversity of traffic data capture systems in terms of type of data produced, vendors, data format supported and legacy of technology Business Functions:  Real-time display of traffic conditions graphically as service levels on a road network as well as in tabular and report views  Ability to be alerted to events/incidents on the network in real-time, graphically, in tabular view and through e- mail or instant messages  Ability to interrogate traffic related devices such as signals, signage, cameras etc. to obtain current status and feeds Business Value Delivered: Real-Time & System-Wide Visibility of a Traffic Network

20 Key Capability 2: Traffic Analytics Customer Pain Points Addressed:  Lack of insight into traffic flow patterns across the network, and as a function of time, leading to inability to formulate optimization strategies  Lack of insight into incident and accident patterns making it harder to implement strategies for improving safety  Lack of correlation data that connects incidents with traffic conditions making it harder to formulate incident response strategies Business Functions:  Analysis of historical patterns of traffic conditions and incidents  Example, peak-hour volumes & congestion on the most critical links in the network as a function of location, time and speed limit on the links  Ability to study historic correlation between traffic incidents of different types and traffic service levels to understand impact and plan for the future  Example service level impact as a result of lane closures during different times of the day, to better manage maintenance activity Business Value Delivered: Insights into Patterns of Traffic Network Historical Performance enabling the creation of performance improvement and performance fine-tuning plans

21 Key Capability 3: Traffic Prediction Customer Pain Points Addressed:  Reactive management of congestion is no longer an acceptable solution and is producing very small returns  Influencing driving route choice of citizens must be an essential part of the solution for a road system with no scope for capacity expansion  Better citizen advisory about anticipated delays has become a (political) necessity Business Functions:  Predictions of traffic conditions, up to an hour out using current and historical data of traffic as input  Speed or volume predictions can be delivered  Ability to perform scheduled auto-calculation as well as deliver calculations on demand  Graphical display of predictions as traffic service levels on a road network, or providing actual data values in tabular or report views  Historical accuracy reports of predictions Business Value Delivered: Pro-Active Management of Traffic leading to reduction of citizen aggravation & negative commercial impact

22 Sachin Bhatia – Rajeev Gupta –


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