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JAN RAKSHAK
COOPERATIVE MOBILITY ENHANCEMENT and CONTROL SYSTEM (C-MECS)
CITY
For Empowering Smarter Mobility
JAN RAKSHAK
COMMUTER CONTROL ROOM
• 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
• 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
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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
Radar CameraLoop
. . .Train TramBus
. . .Traffic Transit
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
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
Transformative, centralized management of traffic operations built on advanced analytics and collaborative processes
Solution Theme: Smarter Traffic OperationsImprove 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 WorksTraffic 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
Radar CameraLoop
. . .
AdaptersAdapters
Traffic
Optimization
Incident Mgmt.
60
Intelligent Traffic Management Center Dashboard
Real Time CCTV Camera View
Features
Average Speed in City
Average Speed
Route , Section 14
Average Speed60 KMPH
70 KMPH
Noida city
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 16Virtual VMS
CONTROL ROOM
1. Validates Incident.
2. Publishes on Commuters Jan Rakshak App and VMS.
Jan- RakshakAccident Ahead drive
Slow!!!Alert
Incident Occurred!!
Incident Reporting
Proposed Solution
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
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
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
EventsEventsIncidentsIncidents
EventsEvents
IncidentsIncidentsEventsEvents
EventsEvents
IncidentsIncidents
Leverage Information
Anticipate problems through analytics
Coordinate resources and response using actionable intelligence
InsightInsightDataData Events / IncidentsEvents / Incidents
Intelligent Operations Center (Underlying Product)Collecting and analyzing data, while automating a collaborative response
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
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
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
