rtpi 2013 david hytch
TRANSCRIPT
David Hytch Information Systems Director
Transport for Greater Manchester (TfGM)
Transport for Greater Manchester’s Plans for a new RTPI & Traffic Management System
Traditional development and delivery
Personalisation and architecture Travel Information & Network Efficiency
David Hytch
Information Systems Director
Transport for Greater Manchester
•10 district councils
•493 square miles
•2.69m residents
•1m passenger journeys per weekday
•1m international leisure visitors a year
•10 Million trees
Greater Manchester
Greater Manchester economy
Greater Manchester:
• is the economic powerhouse of the North
• accounts for around 40% of Gross Value Added (GVA) in the North West
• generates £47 billion of GVA on an annual basis (Higher than the GVA of the North East (£41 billion), West Yorkshire (£39 billion) and Merseyside (£20 billion)
Transport governance
10 district councils AGMA/GMCA TfGM Committee
Bus services
• 220m passenger journeys a year
• 45 bus operators
• Bus use static
• 12500 bus stops
Rail services
•25m journeys a year
•45% growth in last five years
•21,000 passengers in am peak
•109 stations
Metrolink
•Over 22m passenger journeys a year
•100kms by 2016
•96 trams
•Owned by TfGM
•Operated by RATP Ltd
Highways
• 2nd largest UTC unit in country
• 9,200km of roads in GM
• 2,200 traffic signals
• Speeding cameras
• 45,000 speeding offenders
• 19,000 fines
• 4,000 summons
• 22,000 driver improvement courses
• On target for a 40% reduction in KSI road
casualties
Promoting travel choices
• Walking and cycling
• Improved cycle lanes and infrastructure across GM
• Free adult cycle training delivered
• 10 cycle hubs in key locations
• Business travel planning
• Electric vehicle infrastructure
• Car sharing scheme
Local Sustainable Transport Fund Vision
“Let’s get to work, bringing people, jobs and enterprise together with a well-connected, integrated transport system that is better, faster and greener.”
Why? Stimulate development of applications that create better informed travellers and smarter journey choices.
Current Issues
• Customers unable to access real-time
information and updates about their journeys
• Ability to plan journeys does not currently incorporate all modes e.g. car, cycling – does not give informed choices
• Limited visibility of how the whole transport network is performing
• Limited ability to react to incidents and disruptions affecting the network
Background
• Design and Deliver distinct, technology led initiatives to embed longer-term behaviour change through: o real time and dynamic passenger information o dynamic network interventions o priority to late running buses at traffic signals
• Getting more customers to work, education, healthcare and leisure in a more sustainable and efficient manner
Criteria Get more customers using sustainable travel options to access employment, education and leisure by providing:
• Passenger centric
• Multi modal, multi operator, multi channel passenger information
• Improved selection of travel
• Accessible transport
• Systems that are easy to use
• Comprehensive data and information with integrity
• Best in class implementation and operation
• Predictive traffic management
• Improved road journey time reliability
Key Challenges
• Large number of complex data sets to provide multi-modal, multi-operator solution
• Deliver architecture that is flexible enough to manage data across the whole transport network in the available timescales
• Obtaining appropriate real-time data feeds from large number of different bus operators in a deregulated market
• Traditional supply and procurement models
Customer Experience – Travel Information
• Customer able to make intelligent travel decision-making before their journey and track their progress during it, re-planning if necessary
• Truly multi-modal, covering all travel choices including cycling and walking
• Simple, accessible and intuitive to use
• Transparent information
• Personalised content - relevant to them and their journey
• Less reliance on hoping for the best, planning for the worst
Customer Experience – Network Efficiency • More predictable and
reliable journey times on the highway, particularly at peak times – affecting customers such as car owners, freight, PT operators, cyclists etc.
• More reliable bus journeys on key routes due to signal priority for late running buses
• Less contingency being built in to journeys as a result giving people more time
Passive
Sensor Network
Network Oversight Facility
Situation Managed
Network Efficiency - Bus Priority
AVL feed to
centralised Automated
Vehicle Management
System
Deliver Bus Priority to
Traffic Signals
Bus Priority Request to
UTC system
Architectural Design Principles
• Scalable and flexible
• Based upon open industry standards where possible
• Building a capability to deliver post LSTF
• Look ahead to future cities
• Integration of public transport, highway and active travel
options
• Join up with key stakeholders:
Business Context
Support economic prosperity &
environmental sustainability
Obtain funding
Promote Excellence
TfGM Business Exec
Funding Body (e.g. DfT)
Assist Local Community
Assist Business
Community
Provide Services
<<includes>>
Business Intelligence
<<includes>>
Suppliers
Local Community
Business Community
TfGM EmployeesProvide
Training
<<includes>>
Improve Services
<<includes>>
<<extends>>
<<includes>>
<<includes>>
Journey Planning
Highway Control
Alerts/ Info
Network Visibility
<<includes>>
Static network
info
Static network perturbations
Dynamic network
info
<<inclues>>
<<includes>>
<<includes>>
Monitor Supplier
Performance
<<includes>>Two key areas for data systems: • Network
Visibility • Provide
Services
Note: The boxes coloured pink identify those required for Stage 1 – Network Visibility; those in yellow are for Stage 2 – Provision of Transport Services.
Conceptual View of System Design
Open Data
• Open Data platform launched in March – including new real-time feeds which will continue to be built upon through rest of LSTF:
• Real-time API for Metroshuttle City Centre buses
• Real-time API for car journey times on A56 and A6
• Real-time API car park availability
• Weekly GTFS data feed of PT timetable data
• Routes to the Future - Innovation Challenge for developers using open data feeds– Approximately 70 developers registered to attend.
Open Data
HyperIsland
50 MSc students from around
the world
Challenge to reduce car needs by 2033
Solutions, all different, all using Open Data, smart
technology
Tracking services
New Approach to park and ride and community
Augmented biological data
Internet of things and people
Market Sounding • Undertook Market Sounding late 2012 with 36 suppliers
• Key Findings:
o No one supplier can deliver full solution
o Open interfaces and open standards should be used wherever possible
o Good data and data ownership is critical
Benefits
Monitoring
• Exploit the ‘on-line’ nature of the interaction with the customer to easily observe the success of delivery, via website statistics • Use online surveys to ask about changes in behaviour
and satisfaction • Monitor number of data requests from 3rd parties • Use before and after data for journey times, flows etc
on highway to determine the effects • Measure punctuality and reliability of bus service
journey times before and after highway and bus priority measures
