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of this project and you know you have the full thank you is that there is so wally with jen
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subject a bit we will go back to the central
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valley with a pitcher so we'll go away from uh
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the m. p. a. is uh association here now
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of nineteen commie um the disability we're trying to work
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on the um uh buttons and uh been planning and i was asked to present you the
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mobility project we would quickly go from the methodology
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the context and the result uh and it's the
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it's very decision supportable planning ability networks and energy context
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so we had to simplify the encoded mobility which is
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both to do we care if the if the if because
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i and the energy side so it's a plus the
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up button uh so well involved on the topic on the
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planning on mobility d. h. s. uh uh so
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we spend a lot of work working on that
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e. e. b. affair this city of c. or
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energies euro asia all over the us energy aspects
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e. o. f. d. d. for the role of phase for transport as the in their call
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phone paint by the federation has enabled us to
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them for this project of a eighteen months period
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what were the main challenges and main issues what did we try to address
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uh to the entertainment and all gonna yes
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a public transport network this is a master plan
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for the bus connections in b. c. o. a.
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r. and the surrounding villages and when you work on
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implementing such a network anywhere with private and at the rate
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get partners we have a a lot of questions to answer
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uh one the topic which ask um is a a
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common again again is the complexity of complexity in the
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geographical aspect in a number of factors how will the
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different already has been defined enough that show the demography
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in terms of villages where would work us go out already
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what would we do we've uh the older generations and the asian population
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so all of those issues uh imply a lot of data
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and a lot of knowledge which cannot be done by just one one person no one expert
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on top of that yeah all the issues is
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it possible to operate a electric per se is
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it dark it's not the case in that in the in the lowlands that's possible
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and then autonomous vehicles on on demand would that be something
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beneficial especially in the valley at the end of the day
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that i was there if you use a or so would the
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but on the men of uh be able to make those uh requirements uh oh does
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questions that have to be answered contrite play with all the actors
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and this is why we develop that tool to help us a
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in a in to support us in the planning and in the
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the planning of the networks are roughly how we was though and
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it's a relatively technical and the castle before he used to be
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led by d. high school of business in sierra and it's you know we had to
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the following the timeline and the objectives once we have the objectives
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yeah i've been defined we need that colour we need
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to collect data to stay to us but any modelling
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i'm the project we have to make sure there are a clean and they all relevant
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and we can do something with and then there is the source origin call of side
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which use a which uses which mode of trout transport
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we still need to will contact the reset a sensitivity metrics
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uh a lot of topics i've been inserted in that project in order to give
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and the value to the project once we have that metrics then we have another metrics
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or we gene and destination where do they go from where do they go and what can we do
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and how can we inference those uh movements so
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we don't want to encourage people to uh would move
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the trouble malden here we just want to make sure that we can
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meet then meets once close i've been developed and i've been set up
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we will then test difference interview and this is where the energy aspect comes into the picture so
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what happens a if we want to have an excise two of those electric bass on the moment
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how would that work with me what how would it in france this regulation the traffic
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and eventually once we have got data it's a good thing to have done
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all the calculation is great but it is is not being used by the
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that decision because it would be pointless so we
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insisted on having an indefinite us to name all
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the contact between those decision makers and those data we are now at the level or other step five
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the metrics has been designed but there's still a long way to go before the implementation
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process in an implementation face i would not go into details but here are some of them
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and the first a limitation that we had was away the
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pain that connection we wanted to access data which was available
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to anybody yeah we're not looking at open data yet but
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we all hiding to this direction we have got the statistical phase
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federal statistical face we do find a lot of information
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huge volume of information where the people they even when they work
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the data uh related to um contribution to a retirement and uh
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a social security information earn when a big comes to because
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he's uh when we have a attract a cell will attract people
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do some people also more than forty percent of the move around the trance on the transport is
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related to measure we can have a an influence on the businesses and different uh
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shops uh the most of the more as noah when the people come out what are they
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going to visit the the shelves and this would be very very helpful to improve the author
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no we can the brain to bring to them so sometime we have to guess who is
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coming to which show and this is something which uh we need to improve homeland modal repetition
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which who uses what type of transport mode easy to
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dial it easy to try like easy to pass that's
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something again when we we have more work to be done on the is there some studies available from the
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social logic so soldier call on laboratory at the perfect but does data on
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not white of it or not quite that available for this particular context here
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some of the first the outcomes to a. v. s. data
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we need the different uh municipalities concert and we can see said yes and co pay is
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at the top of that particular task it and morph and waste from here you can see about
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three thousand three thousand five hundred uh this
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bruce which are being taken to come to the c. alternative resort that uses it plainly
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and the the flow and uh something which can which are relatively that in and then important
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which unknown given unfortunately on not being split it up into practical sounds of the
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the use we could do with it and we have got some uh in indicators
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and you can see we can count uh the circulation and
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just give us a statistic going spread of the traffic
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and is between ooh the connection to
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slide his in in north in our area
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of uh see your we can see you high density of
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traffic between a five and six p. m. in the evening
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c. is nice for the energy when do we
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need the energy and you can see a a sensor
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which can which calculates the traffic and and indeed you have come to
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big so at a six and seven o'clock in the morning and
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in the end of the day we can uh it connect it
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can relate it to the public transport so peaks
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and can see higher peaks around lunchtime when you can
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can is these or all pure pages going back on fall then lunch at home so it gives us some very
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very with information on the nice which can be adapted to different time of the day
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up to know nothing really new these data been family had been
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around for some time to the main issue is how can we
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integrate them into the political the the and the basic
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the decision making process and how we can extend the it's
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but if we know what happens at one point i think so
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well simply on the basis of these guns data so we have gotten innovating sorry
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which is the yeah it's my place to sell c. d. the i'm not going to
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d. dues and on that too too much deters i will that my colleagues uh
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uh talk about it later you they want to reverse are we looking at there
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but those is the reasons for their i travel or are they going to a call they going to
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measure to do loser to do so once we have
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got those uh user profiles what we call i better
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i per parameter which is designed by
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the designer working on the project so we can then then establish a link
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between the person going to work and what is the likelihood that this
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trip will be measured it would be inserted in
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the matrix what is the likelihood that this will be counted so if the likelihood is uh
00:11:03
so important then we can work on entry points as you can see the different
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entry points the on the this is really at the same places indication that once
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we have presented earlier you can see the time in the day
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it it gives you are simply may be exaggerated but
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as as it issue or a point of view you can see the access to the city
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we can we were able to establish the main entry
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and exit pinpoints of the city and we can then
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what can uh i'm pretty focused and projection on them
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the capital of the state of the control so this was a first step and give
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us a a overview of the situation in this of the system in in its integrity
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next steps will be the calculations of the
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or with jane and this innovations some modicum will tell you the simulations
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and the transfer to and into files that can be used by the main
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the general public and the decision makers so this is a model
00:12:15
which is a will be done by d. h. e. or from
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us yeah we want to insert or that and have a lot
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of communication done around it so we can understand and can be used
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on a regular basis tia energy aspect like we said would
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be based on a scenario which should be defined later on
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but the first challenge was to understand what was going on at a regional level
00:12:41
once we have the scenario and we know they are corrected and we can then
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integrate different insurance so what happens
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if anybody drives electric they cause so
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what happens if we have a park and ride parquet at one
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particular place if we increase the the cost of parking in the city
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what would happen so these are different scenarios that can be
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this can be considered and help us in a making decisions and
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finally because it was done uh we've t. o. f. t. e. this has to be we
00:13:17
should be able to use it at a larger scale the national ever really it's absolutely possible
00:13:23
you could space on the accessible data like uh uh if we have an application to
00:13:30
c. borders it is and with the help of for volunteers this is something that can be developed further
00:13:40
and are we at shows that which a neural neural network and
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show you or familiar with what we call machine learning deep learning that
00:13:51
techniques which will enable us to the allies data all we need
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is a lot of data and the power for allies english paper
00:14:00
which is today a little bit and the exploited and to use
00:14:03
them trying to we're trying to change to to i'm trying to
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a different computers and so i can uh announce it to the the committee as
00:14:13
i agree that we start to look again at the data and the disease for
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all of the country to see what it would happen of course
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it will take one two maybe three years before you can be
00:14:26
translated into concrete measures but this the first steps i've

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Conference Program

Address from the Commune de Bagnes
Eloi Rossier, President of the Commune de Bagnes
Dec. 5, 2019 · 9:11 a.m.
201 views
Introduction to the Forum
Isabelle Schirmer, VMIF Founder
Dec. 5, 2019 · 9:19 a.m.
Political economy of transport in switzerland. Who governs, who decides and who provides funding?
Bernard Wuthrich, Political Journalist, Le Temps
Dec. 5, 2019 · 9:26 a.m.
Be bold! Rethinking mobility for future generations
Marcel Maurer, President of TeleSion, Board Member of FMV, former President of the city of Sion
Dec. 5, 2019 · 9:48 a.m.
Questions & Answers
Panel
Dec. 5, 2019 · 10:08 a.m.
Integrating mobility planning and land planning in the alps, application to telecabine connections between mountains and valleys
Romain Fournier, Mobility Specialist, Antenne Région Valais romand
Dec. 5, 2019 · 10:17 a.m.
Telecabine Connections : Vision from the Canton du Valais and Planning Considerations
Gilles Délèze, Telecabine Connections Expert, Mobility Service, Canton of Valais
Dec. 5, 2019 · 10:20 a.m.
Télé Marécottes Project and challenges for local communes
Florian Piasenta, President of the Commune of Salvan
Dec. 5, 2019 · 10:30 a.m.
Transitioning from legacy mobility to future mobility, technology options and choices
Christoph Ellert, Professor HES SO Valais Wallis and Jakob Rager, Director of the Centre for Energy Research for Municipalities (CREM)
Dec. 5, 2019 · 11:35 a.m.
Examples of local charging infrastructure for e-mobility
Blaise Lovisa, Commercial Director and Energy Products Manager, ALTIS Group SA
Dec. 5, 2019 · 1:59 p.m.
Where are mobility investments going?
Thibaut Mueller, Associate Partner, McKinsey Geneva office and member of the McKinsey Centre for Future Mobility
Dec. 5, 2019 · 2:22 p.m.
108 views
Questions & Answers
Panel
Dec. 5, 2019 · 2:53 p.m.
Introduction of the panel discussion : data as a key enabler of sustainable mobility
Fabrice Delaye, Scientific journalist, Heidi News
Dec. 5, 2019 · 3:08 p.m.
Presentation of the Transport Centre of EPFL (TRACE)
Simone Amorosi, Deputy Director, Transport Centre of EPFL (TRACE)
Dec. 5, 2019 · 3:10 p.m.
Presentation of Swisstraffic SA
Alain Bützberger, Swisstraffic SA
Dec. 5, 2019 · 3:16 p.m.
Presentation of Bestmile SA
Luc Texier, Head of Sales Europe, Bestmile SA
Dec. 5, 2019 · 3:19 p.m.
Presentation of Motiontag GmbH
Fabien Sauthier, COO, Motiontag GmbH
Dec. 5, 2019 · 3:27 p.m.
Questions & Answers
Panel
Dec. 5, 2019 · 4:30 p.m.
Launch of the techtour mobility scale-up programme for western switzerland - Welcome from the Canton of Valais
Pierre-Yves Délèze, General Secretary and Head of communication of the Department of Economy and Education, Canton of Valais
Dec. 5, 2019 · 4:33 p.m.
Overview of the European Programme for Mobility Scale-Up by TechTour
William Stevens, Group Managing Director, TechTour
Dec. 5, 2019 · 4:41 p.m.
The Swiss Mobility Ecosystem
Eric Plan, General Secretary, Cleantech Alps
Dec. 5, 2019 · 4:56 p.m.

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