The company that runs commuter trains in Stockholm, Sweden has employed mathematicians who discovered a reliable algorithm to detect subway delays two hours ahead of time. This algorithm gives 'Stockholmstag' the knowledge they need to inform commuters of the various wait times they may incur because of small subway delays much further down the line.
In the same way that 'NextBus' allows travelers to see the number of minutes the next few buses will arrive at their stop in, this information can improve commuters' planning and travel decisions. However, more than just a GPS system, this process is new in that it is predictive instead of simply descriptive. Therefore, it can help people make more informed decisions on whether they should drive, bike or train to work as well as manage expectations resulting in fewer complaints for the train system.
Why This Trend Is Growing
- Predictive Commuter Algorithms
- Applying predictive commuter algorithms can benefit cities worldwide when it comes to providing accurate wait time information to commuters.
- Transportation Advances
- Transportation systems can create more efficiencies by using predictive algorithms to reduce lag time for commuters globally.
- Commuter Behaviour Tracking and Analysis
- With the help of AI-based tools, transportation companies can track and analyze commuter behavior to improve their services and reduce wait times.
Industries Being Reshaped
- Transportation Industry
- The transportation industry can use predictive algorithms to alert commuters regarding subway delays and reduce wait time in their commute.
- AI Industry
- The AI industry can help transportation companies develop predictive algorithms that use big data to make informed decisions.
- Commuter Services Industry
- Companies that provide commuter services can benefit by using predictive algorithms to improve the experience of their customers and reduce wait times.
