COMMUTER
JAN RAKSHAK
CONTROL ROOM
Traffic Operation Challenges
• 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
Objectives
• 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
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Intelligent Transportation(Jan-Rakshak): Overview
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
Solution Scenarios
Traffic
Loop Radar Camera
. . .
Collect traffic data, analyze, present: real-time visibility, historical patterns, predictive inferences to traffic operators and planners
Bus Train Tram
. . .
Collect location & time table data, analyze, present: real-time visibility, vehicle arrival prediction inferences to transit operators and planners
Transit
Smarter decisions enabled:
Traffic congestion & incidents identified, addressed rapidly
Resources are used & deployed proactively, efficiently
Rapidly respond: public transit re-routing, schedule changes
Intelligent Transportation provides citywide traffic operations and transit operations capabilities
Offer visibility
Improve flow
Predict issues
Traffic Operations
Transit Operations
Congestion Management Schedule Management
Better Informed Motorists
Navigation system
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
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
How it Works
Radar Camera Loop
. . .
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
Incident Mgmt.
Standard operating procedures for daily operations and integrations with transportation devices are built
60
Traff ic
Opti miza tion
Intelligent Traffic Management Center Dashboard
Features
Real Time CCTV Camera View
Noida city
Average Speed
Average Speed in City
Route , Section 14
70 KMPH
60 KMPH
Average Speed
Features cont..
Journey Time
Estimated time of Arrival
Ready to go?
Panipat, India
Via Grand Trunk
Virtual VMS
Variable Messages on Mobile
NH 1, Section 16
Virtual VMS
Proposed Solution
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 for smooth & Safe city drive
Adaptive Traffic Control System (ATCS)
Adaptive Navigation System
Parking Guidance System
Speed Enforcement
Red Light Violation Detection
System
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
Adaptive Navigation System
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
Speed Enforcement
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
Red Light Violation Detection
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
Intelligent Operations Center (Underlying Product)
Collecting and analyzing data, while automating a collaborative response
Events
Incidents
Incidents
Events
Events
Events
Incidents
Data
Leverage
Information
Insight
Anticipate problems through analytics
Events / Incidents
Coordinate resources and response using actionable intelligence
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 Value Delivered:
Real-Time & System-Wide Visibility of a Traffic Network
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 email or instant messages
Ability to interrogate traffic related devices such as signals, signage, cameras etc. to obtain current status and feeds
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 Value Delivered:
Insights into Patterns of Traffic Network Historical
Performance enabling the creation of performance improvement and performance fine-tuning plans
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
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 Value Delivered:
Pro-Active Management of Traffic leading to reduction of citizen aggravation & negative commercial impact
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
Sachin Bhatia – sachin@metroinfrasys.com
Rajeev Gupta – rajeev.g@metroinfrasys.com