Big data could revolutionise transport, right now

Transport data, the old fashioned way. Image: Getty.

The future of transport appears full of fun and flashy possibilities. From super-fast hyperloop transport systems, to self-driving cars and hovering taxis, new technology promises to move us further and faster than ever before. Yet for cities facing everyday problems such as congestion, air pollution and under capacity, the most effective solution could be the humble bus – coupled with the power of data. The Conversation

Of course, in many cities, technology has already begun replacing printed timetables with live departure boards, using real-time data about buses’ locations sourced from GPS monitoring. But this is just the beginning. There’s one source of data which could offer a live overview of a city’s entire transport network without a single penny of investment. And you’ve probably got it on you right now.

Modern mobile phones contain an array of sensors, including GPS, accelerometer, gyroscope, digital compass and more, which are capable of producing a constant stream of data. Individual units of movement, tracked by a phone’s GPS and processed on mass, can give detailed information on journey times, speed and destinations.

Fair trade

Of course, using this data without compromising users’ privacy is a challenge. When dealing with location information, anonymisation can only take you so far. But there is a neat solution. In exchange for their data, passengers could receive a wealth of benefits, including more flexible routes and timetables, predictive of need at any given hour. The level of service could be directly linked to the amount of data a passenger chooses to share.

By combining these data with efficient ticketing across a range of transport modes, including bus, tram, train, taxi and others, it would be possible to create a flexible and responsive system, which can tailor transport solutions to every person’s needs.

Individuals would be able to dial in their destination as they leave home, to be guided by the fastest, cheapest, healthiest or most environmentally friendly route to their destination on a given day, by whatever means, at a standard unit of price per distance. The routes would be responsive to changing weather and road closures, with flexible timetables and services, to cater for a wet Tuesday when everyone wants to take the bus rather than walk or cycle. Overcrowding could be reduced by balancing the load of commuters across different modes of transport.

Breath in. Image: Emily Lindsay Brown/author provided.

The best thing is, the system would constantly be learning and improving. It is relatively straightforward to automatically schedule extra services in real time if, say, there’s an unusually large number of people waiting at a particular stop. But, with sophisticated machine learning, which processes large amounts of historical data to detect patterns, slumps and hikes in demand could be preempted. Allowing a transport network to self-learn using data from its consumers can help it to evolve a better service, while maintaining the modest margins of the provider.

The transport system can also be used as a tool to promote social good. For one thing, price can be used as a powerful influence for positive behavioural change: discounts could be offered for getting off a stop earlier and walking the remaining distance. The bus or tram itself can also be enhanced by making it a place for culture, education and information. Advertising could be complemented or even replaced by community television, public art and educational information, which offer a more positive experience for the captive audience.


Here today?

All of this potential can be unlocked today: not in the future, but in the here and now. The main challenges are overcoming tradition, using a single ticket across various transport modes and apportioning revenue between a complex tapestry of transport providers within the domain of a single transport authority.

Alongside Bournemouth University, a small digital technology company, We Are Base, is attempting to do exactly that. Together, we are finding ways to leverage data to make public transport a better option than private vehicles in terms of punctuality, flexibility and comfort. We are also collecting and analysing real-time data to demonstrate how a transport network could use machine learning to optimise its customer transport efficiency.

The technology is the relatively easy part; negotiating local politics often proves more difficult. For instance, finding a fair way of distributing ticket revenues among operators involved in a journey which uses more than one mode of transport, potentially across a number of zones and boroughs. Gaining consumer trust is also essential. For such systems to work, the consumer must choose to follow journey suggestions, even though they might not seem to be optimal at the time. This is particularly difficult; after all, how many of us can say that we trust our local bus companies when some still struggle to run the services to a static timetable?

The opportunity for a transport revolution is here – but for it to work it must be aspired to. This starts with consumers and local authorities understanding and seeing the benefits of a self-learning, adaptable and truly flexible local transport system. And given that it’s within reach, they shouldn’t put up with anything less. So, next time someone proposes a flashy new solution to transport woes, just remember that true innovation lies in the hands of the commuters themselves – locked inside their mobile phones.

Marcin Budka is principal academic in data science, and Manuel Martin Salvador a PhD Candidate, at Bournemouth University.

This article was originally published on The Conversation. Read the original article.

 
 
 
 

Here are the seven most extreme plants we’ve so far discovered

Artist's impression of Kepler-47. Image: NASA.

Scientists recently discovered the hottest planet ever found – with a surface temperature greater than some stars.

As the hunt for planets outside our own solar system continues, we have discovered many other worlds with extreme features. And the ongoing exploration of our own solar system has revealed some pretty weird contenders, too. Here are seven of the most extreme.

The hottest

How hot a planet gets depends primarily on how close it is to its host star – and on how hot that star burns. In our own solar system, Mercury is the closest planet to the sun at a mean distance of 57,910,000km. Temperatures on its dayside reach about 430°C, while the sun itself has a surface temperature of 5,500°C.

But stars more massive than the sun burn hotter. The star HD 195689 – also known as KELT-9 – is 2.5 times more massive than the sun and has a surface temperature of almost 10,000°C. Its planet, KELT-9b, is much closer to its host star than Mercury is to the sun.

Though we cannot measure the exact distance from afar, it circles its host star every 1.5 days (Mercury’s orbit takes 88 days). This results in a whopping 4300°C – which is hotter than many of the stars with a lower mass than our sun. The rocky planet Mercury would be a molten droplet of lava at this temperature. KELT-9b, however, is a Jupiter-type gas giant. It is shrivelling away as the molecules in its atmosphere are breaking down to their constituent atoms – and burning off.

The coldest

At a temperature of just 50 degrees above absolute zero – -223°C – OGLE-2005-BLG-390Lb snatches the title of the coldest planet. At about 5.5 times the Earth’s mass it is likely to be a rocky planet too. Though not too distant from its host star, at an orbit that would put it somewhere between Mars and Jupiter in our solar system, its host star is a low mass, cool star known as a red dwarf.

Freezing but Earth-like: ESO OGLE BLG Lb. Image: ESO/creative commons.

The planet is popularly referred to as Hoth in reference to an icy planet in the Star Wars franchise. Contrary to its fictional counterpart, however, it won’t be able to sustain much of an atmosphere (nor life, for that matter). This because most of its gases will be frozen solid – adding to the snow on the surface.

The biggest

If a planet can be as hot as a star, what then makes the difference between stars and planets? Stars are so much more massive than planets that they are ignited by fusion processes as a result of the huge gravitational forces in their cores. Common stars like our sun burn by fusing hydrogen into helium.

But there is a form of star called a brown dwarf, which are big enough to start some fusion processes but not large enough to sustain them. Planet DENIS-P J082303.1-491201 b with the equally unpronounceable alias 2MASS J08230313-4912012 b has 28.5 times the mass of Jupiter – making it the most massive planet listed in NASA’s exoplanet archive. It is so massive that it is debated whether it still is a planet (it would be a Jupiter-class gas giant) or whether it should actually be classified as a brown dwarf star. Ironically, its host star is a confirmed brown dwarf itself.

The smallest

Just slightly larger than our moon and smaller than Mercury, Kepler-37b is the smallest exoplanet yet discovered. A rocky world, it is closer to its host star than Mercury is to the sun. That means the planet is too hot to support liquid water and hence life on its surface.

The oldest

PSR B1620-26 b, at 12.7bn years, is the oldest known planet. A gas giant 2.5 times the mass of Jupiter it has been seemingly around forever. Our universe at 13.8bn years is only a billion years older.

Artist’s impression of the biggest planet known. Image: NASA and G. Bacon (STScI).

PSR B1620-26 b has two host stars rotating around each other – and it has outseen the lives of both. These are a neutron star and a white dwarf, which are what is left when a star has burned all its fuel and exploded in a supernova. However, as it formed so early in the universe’s history, it probably doesn’t have enough of the heavy elements such as carbon and oxygen (which formed later) needed for life to evolve.


The youngest

The planetary system V830 Tauri is only 2m years old. The host star has the same mass as our sun but twice the radius, which means it has not fully contracted into its final shape yet. The planet – a gas giant with three quarters the mass of Jupiter – is likewise probably still growing. That means it is acquiring more mass by frequently colliding with other planetary bodies like asteroids in its path – making it an unsafe place to be.

The worst weather

Because exoplanets are too far away for us to be able to observe any weather patterns we have to turn our eyes back to our solar system. If you have seen the giant swirling hurricanes photographed by the Juno spacecraft flying over Jupiter’s poles, the largest planet in our solar system is certainly a good contender.

However, the title goes to Venus. A planet the same size of Earth, it is shrouded in clouds of sulfuric acid.

The ConversationThe atmosphere moves around the planet much faster than the planet rotates, with winds reaching hurricane speeds of 360km/h. Double-eyed cyclones are sustained above each pole. Its atmosphere is almost 100 times denser than Earth’s and made up of over 95 per cent carbon dioxide.

The resulting greenhouse effect creates hellish temperatures of at least 462°C on the surface, which is actually hotter than Mercury. Though bone-dry and hostile to life, the heat may explain why Venus has fewer volcanoes than Earth.

Christian Schroeder is a lecturer in environmental science and planetary exploration at the University of Stirling.

This article was originally published on The Conversation. Read the original article.