Introduction to TIDE Cluster 3 activities TIDE Final Conference Barcelona, 15-16 September 2015 Birendra Shrestha Senior Traffic Modeller, Transport for.

Introduction to TIDE Cluster 3 activities

TIDE Final ConferenceBarcelona, 15-16 September 2015

Birendra ShresthaSenior Traffic Modeller, Transport for LondonVisiting Fellow, TRG, University of Southampton, UK

TIDE Cluster 3• Advanced network and traffic management

to support traveller information- Open access data- User friendly HMI- Advanced public transport priority

Cluster cities

• Reading - Cluster leading city• Rome - Champion city• Lyon - Champion city

Open data for apps based traveller information• “Open data is data that can be freely used, re-used and

redistributed by anyone – subject only, at most, to the requirement to attribute and sharealike” (Open data handbook, 2012)

• Benefits:- Involvement of 3rd party in information provision- More stakeholders and users- Alternative way of providing traveller information- More opportunities to address individual needs

Implementation issues• Data fee

- Sharing the profits of private apps developers• Access regulation

- Some degree of control if needed by the authorities providing data to the server

• Data coverage- The traffic related and static information such as the

location of drop kerbs (for wheelchair crossing) etc. • Data processing

- Improve the quality of the data provided - Cost implication- Raw/processed data, fused data from different sources,

provision of tool/apps

Review• London, Ottawa, Toronto, Vienna, Rome• Differences in access regulation

- registration (London), assumed agreement (Toronto)

• Data coverage- extensive sets of data (London), limited real time data (Ottawa)

• Apps development- In-house and 3rd party (Rome), 3rd party (London) , Open Data contest’ (Ottawa)

• Market demand

- Bigger city with quality data

- Competitions or challenges to develop apps and help develop profiles

Transferability analysis

(1) Mission statement/objectives and scoping

(2) Clarification of the impacts of the measure

(3) Identification of up-scaling/down-scaling need

(4) Identification of the main components and characteristics 

(5) Identification of the level of importance of characteristics

(6) Assessment of the characteristic in the context of adopter city  (7) Conclusions

TIDE transferability assessment steps

Local Innovation Forum• Reading

- Participants from public and private sectors in Reading and surrounding areas

• Rome- Participants included university researchers, local apps

developer using Rome’s data and Reading

Local Innovation Forum• Interaction with stakeholders and input to implementation

scenario• Universal support for open data access - need to provide

some sort of filter for consistency and accuracy• Partnership approach between a local authority and app

developers - a very positive• Some mechanism for authorities to control inappropriate use

and feedback• Local authorities to manage the development of apps for

minority groups (e.g. older people)

Outbound visits• Rome to Reading

- Knowledge exchange with other European cities

- Interactions to share experiences in the area

- Discussion of implementation issues.

• Reading to Rome- Interactions and knowledge

exchange- Understanding of local context and

solutions

Lessons learnt• Transferable measure to other European cities

- Implementation dependent on city context• Robust data

- good quality data from reliable sources• Market demand

- City size and its transport network as well as data quality- ‘Pump prime’ to initiate

• Interaction with apps developers - a close co-operation with apps developers

Thank you!

• Birendra [email protected]