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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
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