Download - Big Data project offer for HSL
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Goal: attracting more customers and improving the user experience of the existing ones
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I am not using public transport because my daily route requires 2 connections
The bus can arrive either before or later and I have no information about it
Buses are so crowded that I can’t fit into it and have to wait for another one
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Bad routes Not on time
People avoid using public transport in case it is inconvenient:
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Problem #1: routes improvement processes
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Current routes improvement
Decisions are based on customers’ opinions: Before starting the route network planning, HSL collected input data. For example, HSL conducted a map-based travel survey to
study residents’ travel patterns. A blog was opened …, where people have
been able to follow the planning process and comment on it.
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What if all customers’ travelling patterns were captured automatically?
What if decisions were based on how
customers act, not what they say?
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Problem #2: lack of information available to customers
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Currently no information for the customers:
Bus coming late/early
How full the bus is
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What if customers could get the relevant information about the bus
every time they plan their trip?
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Solution: a big data driven system
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HSL decision-making
Customer decision-making
High-quality information (predictions and real-time)
Data-driven service improvements
Data-driven customer actions
Better user experience, acquisition of new customers
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Gathering data into a DB (arrival time, number of passengers etc.)
Case: HSL decision-making
Data mining: identifying patterns, bottle-necks, inefficient resource utilization
Information visualization, gathering new insights
Data-driven service improvements
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Getting the relevant data to support decision making (more criteria)
Case: customer decision-making
Planning the trip accordingly
Better user experience, predictable risks/sacrifices
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HSL goals Increasing the use of public transport: We direct the increase in traffic to public transport, walking and cycling
Clear services: We provide our customers with up-to-date information before and during their journeys
Fewer emissions: We increase the share of low-emission public transport
Effective finances: We make public transport more cost-effective
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The time is now!
Hardware sensors are being installed to buses
Hardware + software enablers
Various big data is already available, more to come Big data
This gap is not filled yet
HSL has its own services (like Reittiopas) – great base to build on top of it
HSL services