Further to the Shakespeare Review which used TfL’s open data activity as a case study in 2013, we asked Deloitte to carry out a more comprehensive study on the value of open data to our customers, users and London overall.
Back in March I posted this blog about Nitrous and their accelerator programme, which was focusing on some key transport challenges, and asking for applications to the programme. This short video looks at some of the participants in the accelerator programme, filmed at the event at City Hall on Thursday 22 June, as guests were treated to an evening of presentations and networking.
The Blackwall Tunnel (A102) is one of the busiest places on London’s road network. In recent years, journey times have increased and drivers can expect delays to their journey at some times of day. We’ve released this data to the open data community, to enable developers to build the information into their products.
What our data shows
1) The busiest time in the northbound tunnel on a weekday is from 07:00 – 07:30. In heavy traffic conditions, drivers’ journeys could be 15 minutes quicker if they travelled between 06.30-07.00 instead of 07:00 – 07:30.
2) The busiest time in the northbound tunnel on a weekend is from 13.30 – 15.00. In heavy traffic conditions, drivers’ journeys could be 15 minutes quicker if they travelled between 12.00-13.00 instead of 13.30- 15.00.
We have made this data available to the open data community so you can use it to create products which display the busiest times at the tunnel, allowing drivers to choose to travel outside of these periods or create products for planning quicker and more reliable journeys.
Tell us what you think
We encourage the community to provide feedback on our new data sets to help us continue to enhance and improve our open data products. Please let us know your thoughts in the comments section below or on our tech forum.
We recently launched our first ever Chatbot – the “TfL TravelBot” on Facebook, which uses artificial intelligence to help answer customer queries expressed in everyday language. The bot was launched just two weeks ago and we have already received lots of great feedback. We wanted to offer you more insight into the thinking behind the TravelBot, and shed some light on how we developed it.
Why the TfL TravelBot?
Millions of people already use our website to help them get around London, and we’re constantly seeking new channels to make the process even easier. Research indicates that more than half of the world’s population is now online, and more than 50% of those online are active social media users*. Facebook is comfortably the biggest social media platform, and hence we wanted to take the opportunity to provide them with information via their channel of choice.
Instant messaging has emerged as the primary platform for communication these days**. With the advent of digital solutions making it easier to provide conversational platform, we felt it was the right time for us to enter the world of bots. We pride ourselves on being early adopters of technology, and wanted to leverage the potential of existing solutions to come up with a product which is one of the first of its kind in the world of travel.
How was it made?
We designed the logic behind the chatbot and it is hosted in the cloud. Every customer message passes through our logic, and the bot then seeks to deliver the best response. We use artificial intelligence enabled by the machine-learning framework to process the customer messages (Natural Language Processing). It works by understanding intent rather than phrases. Once the message is processed, the bot replies with either a response from our unified API or a friendly retort. The bot is intelligent and has the potential to learn over time.
How does it help?
Apart from being the channel of choice for receiving information, our bot will help the customers in many ways. It will help our customers get the information in the quickest possible time with a 100% response rate. For instance, queries like ‘When is my next bus due?’ can be easily automated, saving customers time and meaning they don’t need to wait for a customer services agent to get a response. In the case of more complex queries, the chatbot can prompt you to speak with an agent.
As a business, this frees up the time of our customer service agents and helps them focus on more complex customer queries. We are also be able to handle many more queries in the same time, therefore improving our response rate.
We’re constantly looking for feedback to improve our products. If you haven’t it tried yet, search for ‘TfL TravelBot’ on the Facebook Messenger app or go to http://m.me/tfltravelbot on your desktop/laptop. More details on how to use the bot can be found in our previous blog.
Please keep your feedback coming in the comments section below. We know there are more things you would like us to include, and we’re really keen to hear from you.
It was great to be part of London Tech Week through the excellent Hack Day on Friday June 16, put together by the teams at Ticketmaster and Transport for London. With over 600 apps powered by our data in the market place, I always look forward to these events as it allows me to raise awareness of TfL’s open data approach providing the opportunity for organisations and individuals to develop their own creative solutions.
This has helped to form new businesses, create jobs and launch new customer-facing travel products, giving customers more choice on their devices. A great part of this process is that this type of event is open to everyone at no cost, so we saw students, corporate professionals, freelancers, academics and participants from other sectors.
Continue reading Ticketmaster and TfL Hack Day
As part of London Tech Week, TfL are teaming up with the market-leading ticketing company in the UK, Ticketmaster, to host a hackathon at their London HQ. Bring your ideas to life at the London Hack Day, hosted by TfL and Ticketmaster on Friday June 16.
Welcome to the latest instalment from the Journey Planner team, designed to keep you up to date with new timetables, stops and points of interest which have been added to the system and timetable data sources over the past week. The Unified API is updated with new Journey Planner data up to five times a week.