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meet different needs Outdated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.