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SMART CITIES AND IMPLICATIONS FOR MODELS IN THE MIDDLE EASTKEVIN THOMAS SAMRISHI KOTHARIMINISTRY OF TRANSPORT & COMMUNICATIONS QATAR25 FEB 2016
AGENDA
• Transport Infrastructure Priorities in GCC with data & modelling implications
• Role of transport models & analytics in GCC• Key features of traditional vs Smart-city enabled models in GCC context• Smart-city modelling features
• Smart Model governance• ICT Infrastructure
• Smart-city modelling objectives• Strategic Planning• Traffic Management• Analytics Reporting & Visualisation
INFRASTRUCTURE PROGRAMS IN GCC
• Significant spending in multiple transportation programs with tight deadlines demands decision making systems that are robust, reliable and quick
TRANSPORT PRIORITIES IN GCC WITH DATA IMPLICATIONS
Portfolio Management
Construction Planning
Portfolio appraisal
Interface resolution
Transport Planning
Public Transport
Car parking strategy &
implementation
Smart travel planning
Traffic Engineering
Capacity Enhancement
s
Real-time Traffic
Management
Temporary Traffic
Management
Communications Raising public awareness
Real-time information Media liaison
Operations & Enforcement
KPIs & monitoring
Intelligent Transport Systems
Enforcement & regulation
ROLE OF TRANSPORT MODELS & ANALYTICS IN GCC• Land-use integrated strategic level modelling
for defining the scope of infrastructure projects, appraisal of land-use policies etc
• Local area modelling – to predict the impact of new developments, road network changes, traffic management measures.
• Small network modelling – VISSIM – detailed micro-simulation model for a small area.
• Individual junction modelling (optimization – Synchro/Sidra etc)
A TYPICAL SMART CITY ARCHITECTURE
• It is essential that models and analytics from various Smart City functions finally translate into operational and long-term decision making; this will only happen when the models are more reliable and easily understood
TRADITIONAL VS SMART-CITY ENABLED MODELS IN GCC
Traditional
models in GCC
Multiple disjointed models to
meet different needs Outdated
Validation; hence not
reliable
Limited predictive modelling
capabilitiesNot
responsive to change in policies
Tremendous efforts to
analyse information
for reporting
Subject to criticism as
model assumption
s are tailored
Common, integrated modelling platform
Strategic Models can
be Frequently validated to current
year
Traffic Models
with Real-time
predictive modelling
Models Responsive to change in policies
Automation for
quicker decision making
Wider acceptanc
e
Smart-city
enabled models
SMART CITY MODELLING FEATURES:SMART MODEL GOVERNANCE
Planning Inputs
Planning
Delivery
Enforcement
Finance & Economics
Public Service
Data Collection Entities
Major role
Minor roleStrategic Planning &
PoliciesMajor Projects &
EventsOperations &
Monitoring
Transit
Special
SMART CITY MODELLING FEATURES:ICT INFRASTRUCTURE
• Rather than just a traffic control center, a unified data center is more appropriate for a smart city.
• Comprehensive analysis about general network performances (also for pollution and safety)
• Decision Support System based on results of countermeasures in term of queues, mean travel time, etc.
• Clear Web user interface ensures easy and effective monitoring with inter-operability standards
SMART CITY MODELLING FEATURES:ICT INFRASTRUCTURE
Unified Data
Center
Transport Model/Data Analytics
SMART CITY MODELLING OBJECTIVES:STRATEGIC PLANNINGMore accurate models means more confidence on this decision makingThese strategic decisions have significant economic, social and financial impact to the State. Smart city enabled models could now be developed with these objectives in mind
Transit Planning
Project Prioritisation
Economic & financial appraisal
Policy Appraisal
SMART CITY MODELLING OBJECTIVES: TRAFFIC MANAGEMENT
• Generate in Real time traffic maps and data• Reliable travel times varying during the day
(useful also for a more accurate journey planning)
• Quick alerts for problems that will happen in few minutes
• VMS interfaces able to deduce best message to publish in real time
SMART CITY MODELLING OBJECTIVES: TRAFFIC MANAGEMENT
SMART CITY MODELLING OBJECTIVES: ANALYTICS REPORTING & VISUALISATION
• With the advancements in Technology integration and geospatial functionalities it becomes easier to generate dashboards for senior level reporting and decision making.
• The above example shows an example of MoTC Qatar’s efforts to improve the Bus Operations reporting using the Automated Fare Collection data.