Everybody counts in Public Transport

Everybody Counts in Public Transport
Improve decision making, optimise services and increase customer satisfaction
M2M Innovation World Congress
Marseille, September 2014

Public Safety
Traffic Management
Energy Management
Water Management
Tram
Train
Subway
People / Passenger Counting
Many Use Cases

People Counting Applications
•Transportation
–Route optimisation
–Schedule modification
–Customer information and behaviour modification
–Fraud prevention and revenue protection
–Regulatory compliance
•Retail
–Foot fall analysis to monitor sales promotions or merchandising
–Deployment of staff to meet customer demand
•Facilities Management
–Smart energy planning
–Service schedule optimisation
–Compliance to building safety regulations
•Tourism
–Visitor numbers and queue management
Why count people ?

People Counting Applications
•Optimise service provision
–Allow dynamic allocation of resources to meet customer demands
•Enhance customer experience and refine customer behaviour
–Encourage use of less busy assets or services
–Optimise people flows in and out of assets
•Reduce operating costs
–Service assets based on usage rather than fixed schedules
•Reduce liabilities
–Evidence compliance with eg building fire regulations
Why count people ?

Creating Competitive Advantage
•Service delivery needs to be flexible
–Too much capacity = Satisfied customer but wasted resources
–Too little capacity = Dissatisfied customer, lost revenues, lost market share
–Organisations need to balance the availability of fixed and flexible resources to meet customer needs.
•Combining historical and real time people counts with other data (eg weather, arena schedules) allows for prediction of near term demand and a reduction in ‘exceptional’ events
•Continuous monitoring of real time data allows organisation to react to exceptional events when they do occur
•Integration with ticketing data
–Allows for fraud detection and revenue protection
•Integration with HVAC
–Balance energy costs with demand
•Integration with other transport modes
–Focus on customer end to end journey optimisation
Integrate with other information to create knowledge

Creating Competitive Advantage
•Informed passengers are happy customers
–Advance information on occupancy of approaching buses and trains, car park capacity, length of wait at taxi ranks/check-in queues etc. allows passengers to plan their journeys more effectively.
–Opportunity to offer compensatory ‘coffee voucher’ when services are disrupted, at the point of disruption
–Opportunity to modify customer behaviour to better balance demand
–Increase brand loyalty
•Smart buildings
–Modify heating and cooling in advance of room occupancy
–Detected unused conference rooms
–Check on room capacity violations
–Move to usage based facilities management rather than time based
–Repurpose underutilised spaces
Integrate with other information to create knowledge

Usage based solutions Service when it is needed, where it is needed
Zone 1 counter
Zone 2 counter
Historical usage data available for offline analysis, eg…
•What are the patterns of use ?
•How many staff/vehicles do we need, and when ?
•Which assets are used most – would better signage/timetabling/routing level usage ?
Real-Time alerts, eg……
•Number of users exceeded threshold since last service operation
•Time elapsed since last service exceeded threshold
•‘request service’ button pressed
M2M Integration Platform
@
?
Edge gateway

Why count on a continuous basis ? Is an asset really needed ?
•This graph shows hourly plots of visits to a restroom at a major European hub airport, collected remotely from a single counter via cellular connection.
•Average daily visitors is 502, average hourly just under 21
•Peak use is in mid afternoon to early evening, but even then is only around 50-60 per hour, weekend use is higher than midweek.
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20-15
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Usage
Day-Hour
Hourly usage

Why count on a continuous basis ? When is service needed ?
•Results of a three week study on a second restroom
•Over 1,000 visits per day, but significant variations
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500
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2000
1:1:0
1:1:16
1:2:8
1:3:0
1:3:16
1:4:8
1:5:0
1:5:16
1:6:8
1:7:0
1:7:16
2:1:8
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2:2:16
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2:6:16
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3:1:0
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3:3:0
3:3:16
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3:5:16
3:6:8
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3:7:16
Cumulative daily visits
cumul

Why count on a continuous basis ?
When is service needed ?
diff 200
wk 2
Average of time diff 50 wkday
cleaner visits Monday Tuesday Wednesday Thursday Friday Saturday Sunday Monday Tuesday Wednesday Thursday Friday Saturday Sunday
1 08:55:14 08:36:47 08:58:22 09:05:25 09:04:16 09:12:15 07:29:35 08:55:14 08:36:47 08:58:22 09:05:25 09:04:16 09:12:15 07:29:35
2 02:02:24 03:07:02 03:07:31 02:36:36 02:58:48 02:32:29 03:02:28 10:57:38 11:43:49 12:05:53 11:42:01 12:03:04 11:44:44 10:32:03
3 01:46:05 02:33:45 02:56:31 02:17:40 02:44:28 01:40:22 02:35:25 12:43:43 14:17:34 15:02:24 13:59:41 14:47:32 13:25:06 13:07:28
4 02:31:33 02:57:23 03:52:27 02:55:23 03:18:12 01:28:29 02:34:15 15:15:16 17:14:57 18:54:51 16:55:04 18:05:44 14:53:35 15:41:43
5 03:39:46 04:00:50 03:04:43 01:20:09 03:18:05 18:55:02 21:15:47 00:00:00 19:59:47 00:00:00 16:13:44 18:59:48
6 01:26:11 00:00:00 00:00:00 00:00:00 17:39:55 00:00:00
7 01:48:20 19:28:15
8 03:02:00 22:30:15
00:00:00
If we assume a service every 200 visits, then the schedules look like this :
diff 200
wk 1
1 08:32:31 08:12:59 08:56:24 09:15:57 09:17:34 08:32:40 08:47:48 08:32:31 08:12:59 08:56:24 09:15:57 09:17:34 08:32:40 08:47:48
2 02:52:26 03:09:20 03:03:44 03:17:24 02:48:25 02:35:24 02:51:09 11:24:57 11:22:19 12:00:08 12:33:21 12:05:59 11:08:04 11:38:57
3 02:09:31 02:47:35 03:18:59 03:32:21 02:29:19 02:48:10 01:56:04 13:34:28 14:09:54 15:19:07 16:05:42 14:35:18 13:56:14 13:35:01
4 03:13:37 03:14:33 04:15:07 04:10:03 03:06:12 03:04:27 02:50:37 16:48:05 17:24:27 19:34:14 20:15:45 17:41:30 17:00:41 16:25:38
5 05:10:33 03:08:34 00:00:00 00:00:00 00:00:00 00:00:00 00:00:00 22:11:14 19:34:12
00:00:00 00:00:00
diff 200
wk 3
1 08:31:29 08:51:40 08:37:41 06:23:44 08:04:03 08:38:09 09:01:12 08:31:29 08:51:40 08:37:41 06:23:44 08:04:03 08:38:09 09:01:12
2 02:25:35 02:34:48 02:08:59 02:50:42 02:50:06 02:28:27 03:10:30 10:57:04 11:26:28 10:46:40 09:14:26 10:54:09 11:06:36 12:11:42
3 02:09:47 02:13:35 02:14:49 02:07:37 02:18:07 02:19:19 02:46:00 13:06:51 13:40:03 13:01:29 11:22:03 13:12:16 13:25:55 14:57:42
4 02:28:47 02:42:15 01:56:05 01:56:24 02:14:20 03:04:28 02:37:02 15:35:38 16:22:18 14:57:34 13:18:27 15:26:36 16:30:23 17:34:44
5 03:06:58 04:16:47 01:47:57 01:56:25 02:28:38 04:43:01 18:42:36 20:39:05 16:45:31 15:14:52 17:55:14 21:13:24 00:00:00
6 01:52:13 02:10:13 00:00:00 00:00:00 18:37:44 17:25:05 00:00:00 00:00:00
7 02:22:37 03:00:13 21:00:21 20:25:18
00:00:00 00:00:00
There are significant differences day to day and week to week – real time
monitoring is crucial when moving to a usage based model if we are to
balance our fixed and flexible workforces

Why do we get such weekly differences ? Archive data analysis gives the ‘why’, so we can plan the ‘what if’
•Correlation with gate allocations ?
•Correlation with public holidays ?
•Correlation with local sport / business events ?
•Correlation with other assets out of service ?
•Correlation with flight schedule changes ?
•Correlation with restaurant menus ?
If you can work out the dependencies, then you can optimise !
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Smart City
Smart Building
Public Safety
Traffic Management
Energy Management
Bus
Water Management
Public Health
Tram
Train
Metro
Subway
Remote Monitoring
Fitness Machines
The Internet of Things
M2M Applications Everywhere
Logistics
Medical
Transportation
Public Transport
Rail
Metering
Air Conditions
Elderly Living
Waste Management
Value Transport
Smart City
Environmental
Smart Grid
First Responders
Green Houses
Sports Medical Application
Cool Chain Monitoring
Vending
Reverse Vending
Industrial
Ticketing
Smart Buildings
Irrigation
Signage
Automatic Vehicle Location
Remote Monitoring
Retail
Energy Monitoring
Medical
Elderly Living
Green Houses
Cool Chain Monitoring
Agriculture
Retail

The Basic Formula for IoT
Implementing a full “M2M Software Stack”
People counting is one particular instance of the use of Eurotechs M2M integration platform, the Everyware Cloud. It acts as an intermediate system between distributed devices and the applications interacting with them, abstracting the detail of the underlying protocols and communications architecture.
Everyware Cloud is conceptually like an Operating System for the Internet of Things, enabling the transfer of device data to and from Enterprise applications independently of any other language, platform or OS
Once this architecture is in place, it can be used to enable practically any type of remote sensor or system to interact with enterprise applications and other stakeholders
@
Enterprise Service Bus for M2M
Device Data Integration Platform
•Data Management
•Device Management
•Data Storage
•Real-Time Data Delivery
•Real-Time Analytics
•Archive data via REST APIs
•Rule based event triggers
•Publish & Subscribe
•Secure
•Scalable
Everyware Software Framework
•JAVA based application framework
•Device Management
•Connectivity Management
•Application Management
•Field data acquisition
•Available on Eurotech and for third party hardware
Devices, Sensors, Legacy systems
Enterprise Applications

Vertical Market Example Use Case
Use Case: Tram Fleet Management Optimization
Application:
The customer, a transportation company based in Italy (Tramvie Venete Bergamasche (TEB), Bergamo,), wanted to accomplish a fleet management optimization by tuning the time table with particular attention to school students fluxes. The solution consists of providing several trams with Eurotech’s Passenger Counters and one DynaCOR per vehicle. This combination enables passenger counting with associated GPS positioning, doors opening/closing events and collection of other information with regards to the route. Information is available for the customer through a web application that leverages Eurotech’s Everyware Cloud platform.
Key Success Factors: PCN features & technology (e.g. stereoscopic vision) Complete set of building blocks offered Complete end-to-end solution Short development time Easily integration with web app performance, flexibility and simplicity of data treatment (storage, download, accessibility, analysis)
Product:
DynaCOR with
PCN-1000
Passenger Counter
HW / SW
Development
Services
Support

Use Case: Train & Bus Fleet Management Optimization
Application:
The customer, a transportation company based in Italy (Trentino Transporti), wanted to accomplish a fleet management optimization (route optimization, time table optimization by gathering attendance statistics)
for their train and buses . The solution is based on Eurotech’s Passenger Counters.
Key Success Factors: PCN features & technology Rugged design Precision (stereoscopic vision) Flexible mounting system (adjustable angles) Protected front maintenance panel (USB)
Product:
PCN-1000
Passenger Counter

Use Case: Train & Bus Fleet Management Optimization
Application:
The customer, a transportation company based in Portugal, wanted to accomplish a fleet management optimization (route optimization, time table optimization by gathering attendance statistics)
for their tramways and urban buses . The solution is based on Eurotech’s Passenger Counters.
Product:
PCN-1000
Passenger Counter

Use Case: Bus Fleet Management Optimization
Application:
The customer, a transportation company based in Portugal wanted to accomplish a fleet management optimization (route optimization, time table optimization by gathering attendance statistics)
for their tramways and urban buses . The solution is based on Eurotech’s Passenger Counters.
Product:
PCN-1000
Passenger Counter

Use Case: Taxi Queue Optimization
Application:
The customer was looking for a solution that would allow him to improve the customer service and the utilization of available taxi capacity.
The basic concept was to create at taxi stands queues where waiting passengers would be automatically counted. The data would then be used to automatically route the closest available taxis to the taxi stands where passengers are waiting.
Key Success Factors:
Short time to market due to EDC approach ESF for natively connecting PCN Simple
Product:
ReliGATE 50-21 with
PCN-1000
Passenger Counter

Optimizing & Improving Sanitary Services
Optimizing & Improving Sanitary Services
Application:
The customer was looking for a way to optimize and improve the sanitary services in public buildings. The system is used to monitor restrooms attendance in order to dispatch cleaners according to the precise needs (number of visitors) rather than on a time schedule
Key Success Factors: PCN features & technology (e.g. stereoscopic vision) Complete set of building blocks offered Complete end-to-end solution Short development time performance, flexibility and simplicity of data treatment (storage, download, accessibility, analysis)
Product:
DynaCOR with
DynaPCN-10-20
Passenger Counter
HW / SW
Development
Services
Support

Use Case: Airport Passenger Counting
Application:
In an Italian airport a passenger counting application was installed to monitor people flow at airport gates and boundaries. The system provides
statistics on waiting time, level of service, gate and passport check post openings
Key Success Factors: PCN features & technology Rugged design Precision (stereoscopic vision) Flexible mounting system (adjustable angles)
Product:
PCN-1000
Passenger Counter

Use Case: Retail Shop Performance Measurement
Application:
The customer was looking for a solution that would allow measurement of the performance of individual shops of a chain (franchising).
Data is regarding people entering and leaving shops are correlated with the customer interactions including financial transactions, contracts sold or support cases worked on.
Similar installations with other customers are used to provide statistics and ROI calculations on ads in magazines, TVs, radios against customer attendance and daily takings
Key Success Factors:
Short time to market due to EDC approach ESF for natively connecting PCN Simple
Product:
ReliGATE 50-21 with
PCN-1000
Passenger Counter

Use Case: Tourist Traffic Monitoring
Application:
The customer, the city of Venice required a system that counts people in some of the strategic spots and embarkation platforms.
The system collects statistics for the city’s ship public transportation service and touristic spots attendance.
Key Success Factors: PCN features & technology (e.g. stereoscopic vision) Complete set of building blocks offered Complete end-to-end solution Short development time Easily integration with web app performance, flexibility and simplicity of data treatment (storage, download, accessibility, analysis)
Product:
DynaCOR with
PCN-1000
Passenger Counter
HW / SW Development Services
Support

Use Case: Cruise Ship Passenger Counting
Application:
On an Italian cruise ship a passenger counting application was installed to count the passengers getting on and off the ship when visiting ports. This application is used to double-check the number of people on-board. The solution is based on Eurotech’s Passenger Counters.
Product:
PCN-1000
Passenger Counter

Everybody counts in Public Transport

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