Solutions > E-commerce
Public Transport Ticketing
Human technology,
infinite creativity.
Human technology,
infinite creativity.
Considering the increasing digitalization and automation of public transport systems globally as well as its cost-effectiveness, Solution 1 strongly argued that using emerging mobile ticketing technologies to develop smarter and more user-convenient ticket inspection solutions in the form of seamless ticket inspection.
Seamless travel may generally be defined as the product of a well-integrated public transport service as experienced by users. Seamless e-ticketing makes multimodal public transport services accessible to users by permitting them to use the same ticket on the same journey regardless of the different ticketing systems.
Solution 1
Today, everything within the world is sensible and digitalized. Nowadays the general public transportation just like the metro is well advanced. To improve the efficacy, existing public transportation is to be mutated towards intelligent transportation within the market.
Public transport ticketing system is based on customer’s mobile devices that only need to have an internet connection. Therefore the purchase and validation of tickets are made over-the-air, and location providers are used to locate the traveler and reduce the number of options when it comes to validate a ticket, making the system easier to use.
Since the system is totally based on customers’ mobile devices, transport operators don’t need to adapt or buy new infrastructures, like gates, ticket vending machines, or ticket readers. Based on this system users will benefit from remote and ubiquitous access to payments, queue avoidance, and lack of need to carry cash around.
Additionally, other mobile phone features allows offering more services to passengers, such as instantly check ticket balance, access to real-time traffic information and timetables and view an interactive trip planner. Therefore, this closer interaction with customers will allow transport operators to know their customers’ travel behaviour, and manage a vast and important database. These patterns and preferences expressed by customers can later be used, for instance, to advise customers of fares that suits better their travel profile or to create personalised journey plans.