Creating smart cities and digital workplaces means connecting infrastructure and digitizing transport systems, particularly in the taxi industry. Can you imagine what South Africa roads would looks like in 10-years-time, if taxis were connected?
According to Statistics SA’s 2013 Household Survey, taxi operators transport over 15 million commuters daily. Around 200,000 minibus taxis, across 2 600 taxi ranks, provide the main mode of transport for 50% of SA’s population earning less than R3 000 per month.
The impact of the taxi industry on the daily lives of South Africans is huge, research by Transaction Capital, a financial services provider in the taxi industry revealed. An estimated 70% of people who attend educational institutions make use of taxis, 69% of all South African households use taxis in their transport mix, and a staggering 68% of all public transport trips to work are in taxis. Plus, minibus taxis reach remote places other forms of public transport don’t – the average South African lives within a 5-minute walk of a minibus taxi.
Sadly, the industry is still faced with challenges when it comes to road congestion, accidents and safety, and with drivers often forced by financial needs to work long hours. But a future where taxis can operate efficiently and profitably, while improving safety and providing a more convenient customer and employee experience, is possible. But it requires a digital business transformation.
Our cities need to start connecting infrastructure and piloting these digital experiences now. Globally, there will be 380 million connected vehicles on the roads by 2020, but that is only half the battle. The first step toward making the frictionless commute a reality is for local governments to begin investing in technology architectures and physical infrastructure to accelerate connected transportation systems and create workplace innovation.
On the strategic side, transportation officials can begin by identifying best practice. It is best to first pinpoint a problem that is unique to a city or region. For example, a city with notorious traffic congestion might want to start integrating smart sensors on roadways to alert drivers and connected vehicles in real-time of potential hazards, and possibly prevent accidents before they happen.
How would that look in practice? Let’s take the example of Sipho Ngwenya, a fictional character, from Zola in Soweto, one of the 600 000 people employed in the industry.
He gets up at 4am everyday to get to the taxi rank where he parks his mini bus overnight. Sipho hopes to be one of the first drivers there to ensure he fills his taxi with commuters, who travel to the northern suburbs of Johannesburg for work and school.
The earlier he starts transporting people, the better chance he has of generating the daily “rental fee” he pays his boss – the owner of the minibus. If Sipho is even 10 minutes late, the queue of people at the rank may have halved. If his taxi is the last one in the queue, it may not fill up, and he may need to drive around the block to find more commuters. The delay means longer hours for him, his conductor-cum-assistant (guardjie) will have to spend more time calculating and collecting fares, and it will increase his costs – he’ll spend more money on fuel.
Fast forward six-months later, when the Joburg metro area would have implemented the Cisco Connected Mass Transit technology solution to connect the taxi industry. Sipho’s alarm goes off at 4am. He grabs his phone and logs onto the Cisco platform before he jumps out of bed: the weather is clear but there’s been an accident overnight on his route to the rank – he’ll have to take a detour. He checks once again just as he leaves home, and sees that he has time to grab breakfast on his way.
He is the first driver to arrive at the rank that morning – stress-free and ready to start. The rest of the minibuses are stuck behind the accident. He loads commuters and manages to get all of them to their destinations 10 minutes early, by checking the best routes. Payments are no longer collected in person – there is now an easy mobile payment option that customers love, especially the young ones. And Sipho no longer needs to search for commuters – they stop his minibus on the road because it is marked as a ‘connected minibus’. This is a smart workplace.
These digital solutions are real and available to the SA taxi world. There are some caveats, though: Cisco’s international experience shows that these solutions are best implemented alongside awareness campaigns for commuters and government incentives to drive adoption, as well as ensuring the regulatory environment is conducive. Luckily, technology itself isn’t too much of a problem: the solutions work with existing IT systems local governments have installed.
Imagine South Africa in a decade. Now imagine a South Africa where traffic congestion is a thing of the past.
Two-thirds of adults ready for cars that drive themselves
The latest Looking Further with Ford Trends Report reveals that behaviour is changing across key areas of our lives
Self-driving cars are a hot topic today, but if you had to choose, would you rather your children ride in an autonomous vehicle or drive with a stranger? You may be surprised to learn that 67 per cent of adults globally would opt for the self-driving car.
That insight is one of many revealed in the 2019 Looking Further with Ford Trend Report, released last week. The report takes a deep look into the drivers of behavioural change, specifically uncovering the dynamic relationships consumers have with the shifting landscape of technology.
Change is not always easy, particularly when it is driven by forces beyond our control. In a global survey of 14 countries, Ford’s research revealed that 87 per cent of adults believe technology is the biggest driver of change. And while 79 per cent of adults maintain that technology is a force for good, there are large segments of the population that have significant concerns. Some are afraid of artificial intelligence (AI). Others fear the impact of technology on our emotional wellbeing.
“Individually and collectively, these behavioural changes can take us from feeling helpless to feeling empowered, and unleash a world of wonder, hope and progress,” says Kuda Takura, smart mobility specialist at Ford Motor Company of Southern Africa. “At Ford we are deeply focused on human-centric design and are committed to finding mobility solutions that help improve the lives of consumers and their communities. In the context of change, we have to protect what we consider most valuable – having a trusted relationship with our customers. So, we are always deliberate and thoughtful about how we navigate change.”
Key insights from Ford’s 7th annual Trends Report:
Almost half of people around the world believe that fear drives change
Seven in 10 say that they are energised by change
87 per cent agree that technology is the biggest driver of today’s change
Eight in 10 citizens believe that technology is a force for good
45 per cent of adults globally report that they envy people who can disconnect from their devices
Seven out of 10 consumers agree that we should have a mandatory time-out from our devices
Click here to read more about the seven trends for 2019.
At last, cars talk to traffic lights to catch ‘green wave’
By ANDRE HAINZLMAIER, head of development of apps, connected services and smart city at Audi.
Stop-and-go traffic in cities is annoying. By contrast, we are pleased when we have a “green wave” – but we catch them far too seldom, unfortunately. With the Traffic Light Information function, drivers are more in control. They drive more efficiently and are more relaxed because they know 250 meters ahead of a traffic light whether they will catch it on green. In the future, anonymized data from our cars can help to switch traffic lights in cities to better phases and to optimise the traffic flow.
In the USA, Audi customers have been using the “Time-to-Green” function for two years: if the driver will reach the lights on red, a countdown in the Audi virtual cockpit or head-up display counts the seconds to the next green phase. This service is now available at more than 5,000 intersections in the USA, for example in cities like Denver, Houston, Las Vegas, Los Angeles, Portland and Washington D.C. In the US capital alone, about 1,000 intersections are linked to the Traffic Light Information function.
Since February, Audi has offered a further function in North America. The purpose of this is especially to enable driving on the “green wave”. “Green Light Optimized Speed Advisory” (GLOSA) shows to the driver in the ideal speed for reaching the next traffic light on green.
Both Time-to-Green and GLOSA will be activated for the start of operation in Ingolstadt in selected Audi models. These include all Audi e-tron models and the A4, A6, A7, A8, Q3, Q7 and Q8 to be produced from mid-July (“model year 2020”). The prerequisite is the “Audi connect Navigation & Infotainment” package and the optional “camera-based traffic sign recognition”.
Why is this function becoming available in Europe two years later than in the USA?
The challenges for the serial introduction of the service are much greater here than, for example, in the USA, where urban traffic light systems were planned over a large area and uniformly. In Europe, by contrast, the traffic infrastructure has developed more locally and decentrally – with a great variety of traffic technology. How quickly other cities are connected to this technology depends above all on whether data standards and interfaces get established and cities digitalise their traffic lights.
On this project, Audi is working with Traffic Technology Services (TTS). TTS prepares the raw data from city traffic management centres and transmits them to the Audi servers. From here, the information reaches the car via a fast Internet connection.
Audi is working to offer Traffic Light Information in further cities in Germany, Europe, Canada and the USA in the coming years. In the large east Chinese city of Wuxi, Audi and partners are testing networks between cars and traffic light systems in the context of a development project.
In future, Audi customers may be able to benefit from additional functions, for example when “green waves” are incorporated into the ideal route planning. It is also conceivable that Audi e-tron models, when cruising up to a red traffic light, will make increased used of braking energy in order to charge their batteries. Coupled with predictive adaptive cruise control (pACC), the cars could even brake automatically at red lights.
In the long term, urban traffic will benefit. When cars send anonymised data to the city, for example, traffic signals could operate more flexibly. Every driver knows the following situation: in the evening you wait at a red light – while no other car is to be seen far and wide. Networked traffic lights would then react according to demand. Drivers of other automotive brands will also profit from the development work that Audi is carrying out with Traffic Light Information – good news for cities, which are dependent on the anonymised data of large fleets to achieve the most efficient traffic management.
In future, V2I technologies like Traffic Light Information will facilitate automated driving.
A city is one of the most complex environments for an autonomous car. Nevertheless, the vehicle has to be able to handle the situation, even in rain and snow. Data exchange with the traffic infrastructure can be highly relevant here.