PLANNING TOMORROW’S

SMART CITIES IN EGYPT: A

VISION FOR ITS IN EGYPT

Prof. Dr. Ing. Ahmed I. Mosa

TRANSPORTATION SYSTEM

OVERVIEW IN EGYPT

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National Transportation Demand

National Road Network – Level of Service - 2013

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Cairo’s population

2012 2030 Change

18.5 mln 25.5 mln 40%

Number of Trips 2010 generated by TAZ** Number of Trips 2030 generated by TAZ**

GRDP Per Capita 10,724 EGP 27,286 EGP 145%

Total Number of Trip Demand (Trips / Day) 21.2 mln 28.5 mln 34%

Average Speed (Km/Hr) 9.6 4.3 -45%

** ETCE estimates. Cairo Traffic Congestions Study. Final Report. World Bank. May 2015

Cairo Transportation Demand

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Source: WB, 2014

Benchmarking

COST OF CONGESTION

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0.0

5,000.0

10,000.0

15,000.0

20,000.0

25,000.0

30,000.0

35,000.0

40,000.0

2012 2017 2022 2027

Delay cost Unreliability cost Excess fuel cost Excess fuel

subsidy

Emission Cost

Direct Cost of Congestion in million

EGP Share of Direct Cost of

Congestion By Area in Cairo

** ETCE estimates. Cairo Traffic Congestions Study. Final Report. World Bank. May 2015

THE SMART CITY APPROACH

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THE SMART CITY APPROACH

UITP9

Decision support & business intelligence tools used to optimize

performance

Information sharing enables coordinated action and minimized network disruptions

Increased demand met by making infrastructure

more efficient, not larger

Collaborative involvement of all stakeholders in a long-term, step-by-step

process

Departments operate in silos

with little or no information

sharing

Tons of data collected by

systems but not used

Little engagement between

city/county and private sector

except during buying cycle

Increased demand met by

building more capital-intensive

infrastructure

Traditional Approach Smart Approach

ICT PAST & FUTURE

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OUR CITIES BECOME SMARTER

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Mobile subscriptions, Middle East and North East Africa, split per technology (million)

WITH MORE ACCESS TO INFORMATION

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More People have

AccessTo More

Information At Lower Cost

WITH INTENSIVE USAGE BEHAVIOR

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URBAN MOBILITY

TECHNOLOGIES & BUSINESS

MODELS

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URBAN MOBILITY BUSINESS MODELS

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MATURITY OF URBAN MOBILITY

TECHNOLOGIES

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A VISION FOR ITS IN EGYPT

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EGYPT’S ITS OVERALL VISION

STATEMENT

MAXIMIZE TRANSPORTATION

PRODUCTIVITY, MOBILITY, EFFICIENCY,

AND SAFETY WITH A REDUCTION IN

ENERGY USE AND NEGATIVE

ENVIRONMENTAL IMPACTS THROUGH THE

USE OF COST-EFFECTIVE ITS

TECHNOLOGIES AND SYSTEMS”

GOALS OF ITS DEPLOYMENTS

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� Safety: reduction of number of crashes, injuries, and fatality

rates.

� Mobility: reduction of amount of delay (in units of time) and the

variability of travel time.

� Capacity/Throughput: increasing the number of persons, goods

or vehicles traversing a roadway section per unit time.

� Customer Satisfaction: satisfaction include amount of travel in

various modes, mode choices and quality of service as well as

volume of complaints and/or compliments received. Typical

results reported for customer satisfaction includes service

awareness, expectations of benefits, product use, response,

realization of benefits, and assessment of value.

� Productivity: increase operational efficiencies and cost savings.

� Energy and Environment: enhancing effectiveness include

changes in emission levels and energy consumption.

INTEGRATED MOBILITY ECOSYSTEM

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MOBILITY BUSINESS STRATEGY

VARIANTS

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ITS ROAD MAP

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Advanced Traveler Information System (ATIS)Advanced Traffic

Management System (ATMS)

Incident

Management

Emergency

Management

Web Publishing

Mobile phone

High Advisory Radio

Navigation device

Traffic Signal

Control

Freeway

Management

Visual Message Signs

Information Publishing

Commercial

Vehicle

routing

Driver route

guidance

Route Guidance

Emergency

Vehicle

routing

Enforcement

Management

Red light

Violations

Speed Limit

Enforcement

Classified

Vehicle

Restrictions

Traffic Management Center ( TMC )

Loop Sensors Laser Sensors

WIM Sensors Microwave Doppler radars Video Surveillance

Visual Sensors crowd sourcing

trackers

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COLLECT, INTEGRATE, MANAGE AND

DISSEMINATEIntegrate data feeds from a wide variety of sources and have the tools to act on the assimilated information including:

Traffic

Transit

Human Behavior

O-D

Construction

Incidents

Special Events

Parking

Toll

Weather

Signal Plans

Scenarios

Then provide the tools to manage the

information effectively including:

Decision Support Tools

Traffic Prediction, Simulation

Inter Agency Communication

Then provide the dissemination platforms to deliver Real-time, predictive,

location based, personalized information “proactively”

Web

SMS IVR

EEEE----mailmailmailmail

PC

SmartSmartSmartSmart----PhonePhonePhonePhone

Cell Phone

Social NetworksKiosks

Mobile

Apps

Service Utilization by

Traveler Types

Channel Utilization by

Traveler Types

○

○

○

DISSEMINATION : CUSTOM

INFORMATION FOR ALL

Younger Person

Business User

Commuter

Tourist○

A NEW PRIORITY:

FRAMEWORK FOR LOGISTICS

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Weight of goods produced / consumed

Weight of goods transported by road

Road tonnes-lifted

Road tonne-kms

Total vehicle-kms

carbon intensity of energy

energy consumption

CO2

modal split

average handling factor

number of links

average length of haullength of links

average load on laden trips

average % empty running

Vehicle operation / fleet management

energy efficiency

Similar analyses for other modes

timing of deliveries

aggregatekey parameter - lever

supply chain structure

asset utilisation

energy efficiency

carbon content of energy

modal splitmodal split

warehousing /

materials handling

space / equipment use

SERVICE PRIORITY

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Thank you !