DellTechnologies.com/Edge

Ask us how our pre-validated Edge computing Ready Solutions bring simplicity and certainty as you adopt transformative technologies like

computer vision and 5G

Intelligence at the Edge is driving transportation’s urban future

Efficiency

• Fleet visibility• Remote diagnostics• Pre-emptive maintenance• Maximized uptime

• Semi-autonomous vessels automate routine tasks• Reduced human error• Human augmentation eases workloads• Reduced vulnerability to piracy

• Cost reductions• Increased competitiveness• New business models

Safety

Business performanceSecurity

• Edge to cloud to core• Data and network protection• Embedded security• Advanced threat analytics

• Bandwidth and latency• No onsite IT skills• Complexity and lack of standardization of ships’

systems• Compliance• Environmental regulation• Sustainability and need to monitor waters and

marine life

Edge computing answers many marine challenges

Intelligence at the marine Edge enables

1.2Mpeople employed at sea worldwide,24 not including docks, naval facilities and other shore-based operations.

53%by value of US imports carried by shipping25

38%

$33.8BN by value of US exports carried by shipping25

contribution of inland waterways to US economy26

2300parcels shipped in the world’s key global markets every second – forecast to exceed 100 billion in 202027

Shipping

Security is a primary concern

Rail automation is rapidly advancing

Real time monitoring can:

• Prevent failures• Provide accurate real-time data and analytics • Facilitate preemptive maintenance

1.8 billion rail passengers each year21

In London, TFL operates over 12,000 cameras on platforms and trains22

• 23% of cities with a metro network have at least one fully automated line

• 2,300km of automated metro lines worldwide by 202523

Rail

Better safety and security

Computer vision, computer audition and analytics at the Edge unlock smoother, more rigorous air transit safety and security

• Smart gates with facial recognition• Shorter waits and lines• Health screening• Behavioural analysis and threat detection

Better efficiency

Computer vision and 5G have the potential to transform operational efficiency for flight and airport operators

• Visual inspection-based pre-emptive maintenance reduces downtime and delays

• Smarter scheduling and runway utilization• More efficient operations and logistics• Fuel savings• Cost efficiencies

95%of passengers now carry a mobile device20

58%of passengers prefer self-service technology for check-in19

There’s huge potential for richer, more engaging personalized customer experiences powered by intelligence at the Edge.

BETTER CUSTOMER EXPERIENCES

Air

Smart cities recognise the importance of IoT enabled sanitation

Smart trash collection expected to grow by 23% between 2017-202219

Potential benefits include

• Traffic monitoring• Weather and road data• Obstacle detection • Route management

minutes off the daily commute30New smart roads and technologies reduce commute time by 30 minutes on average. Additional benefits include19:

10-15% improvement in emergency service arrival time

10% increase in road traffic capacity with smart parking

Road

Connected public transport significantly reduces wait time and accelerates city-wide travel19

decrease in passenger waiting time

• Fleet tracking• Fare collection• Live video monitoring• Vehicle telematics• Video analytics and facial recognition• Fare collection• Connectivity

Public bus services could benefit from improved:

30%

Urban Mass Transit

75% of enterprise-generated data will be created at the Edge by 202516

4TB data generated by one autonomous car in one day17

1 in 10 vehicles on the road autonomous by 203018

real time, always on connectivity essential for applications like autonomous vehicle guidance

Fast reactions

Zettabytes

of data prohibitively expensive to upload to the cloud

Edge computing

delivers the efficient data management, deep learning and analytics demanded by smart transportation

Close to the Edge

TWO KEY SMART TRANSPORTATION TECHNOLOGIES

Computer vision

The ability to turn visual information into data connects the physical and digital worlds. Coupled with AI and Machine Learning, computer vision helps solve challenges like:

• Road and rail condition monitoring• Traffic flow optimisation• Road use charging• Predictive maintenance • Incident detection and management• Service optimization.

5G

5G connectivity gives new levels of visibility and control over transport networks. With peak data rates of up to 20 Gigabits-per-second, 5G makes possible:

• Smart public transportation matching services with demand

• Real time vehicle tracking and telemetry feeds• Analysis of fuel consumption, mechanical performance

and idle time• Route tracking and optimization• Better safety and reliability• ‘mini cloud’ connected vehicle convoys

So smarter cities need smarter transportation

Passenger and Freight

ShippingPassenger and Freight

Private vehicles

Public transportation

Road haulage

What transportation challenges will these growing cities face?

How Edge computing accelerates transportation

global smart cities investment in 2020, up 18.9% on 201912

$124BN Global Machine Vision Systems market 202713

$33.78BN cities with commercial 5G network deployed as of January 2020

378

smart cities ranked in the 2019 IMD Smart City Index14

102growth in global IoT transport and logistics spending, to $30BN in 202015

3x growth in Vehicle to Everything (V2X) connectivity spending 2017 – 2022

49%

… and growing adoption of smart city solutions

$87BNUS annual cost of congestion7

29%of US greenhouse gas emissions come from transportation8

40%

e-commerce value, driving explosion in urban freight traffic9

urban freight delivery growth projected by 205010

$50-80BN US health care costs from traffic air pollution11

$62.5BN

Growing cities mean growing challenges…

Port of New York cargo growth by 20504

50%passenger-kilometers travelled each year by 20506, up 70,000BN from 2015

120,000BN increase in London rail trips by 20505

80%

THE MAJORITY OF THE WORLD’S POPULATION HAVE LIVED IN CITIES SINCE 20071

75% of world population by 2050

By 2050, 7.5 billion people will be city dwellers2

Mumbai’s population to rise to 42 million by 2050

Placing Tokyo in seventh place for projected population4

Tokyo is home to over 37 million people

The most densely populated city in the world in 20203

Cities are getting bigger and busier

Why Edge computing is critical for cities and their transport networks

Edge computing and IoT solutions Edge computing and IoT solutions

Smart cities, smart transportation Smart cities, smart transportation

1 https://www.delltechnologies.com/en-gb/solutions/internet-of-things/index.htm#scroll=off&overlay=//www.dellemc.com/en-gb/collaterals/unauth/infographic/solutions/delltechnologies_edge_and_iot_digital_cities_infographic.pdf2 https://www.iom.int/world-migration-report-20153 https://www.macrotrends.net/cities/21671/tokyo/population4 https://en.wikipedia.org/wiki/Projections_of_population_growth5 https://www.london.gov.uk/sites/default/files/Transport%20Supporting%20Paper_3.pdf6 https://www.oecd-ilibrary.org/sites/9789282108000-5-en/index.html?itemId=/content/component/9789282108000-5-en7 INRIX Global Traffic Scorecard 20188 Banister, D. (2019). The climate crisis and transport. Transport Reviews, 39(5), 565–568. doi: 10.1080/01441647.2019.1637113 [Taylor & Francis Online]9 https://www.insightsassociation.org/article/there-future-brick-and-mortar-retail10 2017 MHI Annual Industry Report11 https://www.apha.org/~/media/files/pdf/factsheets/hidden_health_costs_transportation.ashx12 IDC Worldwide Smart Cities Spending Guide – Use Case Forecast 2019 H113 https://www.researchandmarkets.com/reports/4897452/machine-vision-systems-global-market-outlook?utm_source=dynamic&utm_medium=BW&utm_code=v6qx8d&utm_campaign=1342436+-+Global+Machine+Vision+Systems+Market+Expected+to+Grow+with+a+CAGR+of+10.7%25+During+the+Forecast+Period%2c+2018-2027&utm_exec=anwr281bwd14 https://www.imd.org/research-knowledge/reports/imd-smart-city-index-2019/15 https://res.cloudinary.com/yumyoshojin/image/upload/v1/pdf/iot-business-2020.pdf16 https://www.gartner.com/smarterwithgartner/what-edge-computing-means-for-infrastructure-and-operations-leaders/17 https://newsroom.intel.com/editorials/krzanich-the-future-of-automated-driving/18 https://www.techrepublic.com/article/1-in-10-vehicles-will-be-autonomous-by-2030/19 https://res.cloudinary.com/yumyoshojin/image/upload/v1/pdf/iot-business-2020.pdf20 https://www2.deloitte.com/content/dam/Deloitte/us/Documents/consumer-business/us-cb-airline-iot-passenger-experience.pdf21 https://www.networkrail.co.uk/communities/passengers22 https://www.btp.police.uk/advice_and_information/safety_on_and_near_the_railway/cctv.aspx23 https://www.uitp.org/world-report-metro-automation24 Maritime Industry Statistics | JobMonkey - JobMonkey.com25 https://www.thebalance.com/u-s-imports-and-exports-components-and-statistics-330627026 https://www.americanwaterways.com/industry-impact27 https://www.entrepreneur.com/article/332392