Agatsuma:
I spoke earlier about in-service monitoring whereby sensors are mounted on passenger trains and used for the condition monitoring of railway lines. The same concept also works on cars. London, for example, is plagued by potholes in its roads, with public finances being put under pressure by the compensation that local government pays out for wheel damage or tire punctures caused by cars driving into these holes. If ordinary cars could be used for the condition monitoring of infrastructure, warning signs of developing potholes could be detected and repairs made pre-emptively.
Furumi:
I read a report by a tire manufacturer recently about the numerous sensors being fitted to today’s tires, capable of sensing not only punctures, but also weather conditions and of reading the road to facilitate safe driving. Vehicle manufacturers are also providing the ability to read undulations and other road surface conditions under the hood and of absorbing the impact of the different sized bumps that occur. Given the ability to communicate between vehicles, this capability could further improve driving safety by predicting road conditions based on the experience of the vehicles ahead.
Agatsuma:
Seat sensors are another area where advances are being made, and it could be that quantum sensors will be woven into the fabric of seats within a few years. The hope is that these will be used to provide more accurate biometric information about the driver or about where best to apply the brakes, pre-emptively preventing congestion and accidents or extending the life of infrastructure.
Takahashi:
If this is to be realized, however, I believe it will require someone able to provide oversight of all these autonomous vehicles. Having self-driving vehicles operate independently of one another will only result in more congestion and problems. If autonomous driving results in all vehicles using the exact same part of the road, it will only encourage ruts to form and speed up road surface degradation. What is needed is someone able to provide supervisory-level control of the entire infrastructure, instructing one vehicle to drive slightly to the right and the next to drive slightly to the left, and so on.
Along with improvements in the accuracy of sensors and cameras, standardization will likely also be needed. Even if able to identify the location of potholes, the information from cameras will not be available for analysis if there is high degree of variation in how it is handled by the different car companies. The legal framework also needs to be established, such as identifying where the ownership of data from autonomous vehicles resides.
Furumi:
I see. You are saying we need a common platform for autonomous driving, one that can provide supervision at a higher level.
Agatsuma:
The idea of utilizing AI to overcome societal challenges is a major theme in HMAXTM*2) by Hitachi. This is because there is no point in thinking about autonomous driving if the roads are riddled with potholes. The same applies to railways where self-driving is not an option without reliable infrastructure. This means collating large quantities of data from expansive urban transportation systems and transforming it into meaningful information so that it can ultimately be put to use in a variety of predictions that assist with maintenance. The greatest challenge is how to go about establishing this infrastructural platform.
Takahashi:
One leading initiative in this area is a collaborative creation project for the next-generation cities of the future in which Hitachi City and Hitachi the company are collaborating on smarter public transportation. The project is working through a cycle that involves the use of digital technology to visualize movements of transportation and people, the incorporation of this information into policy measures, and the assessment of what changes this will bring to the city. It is also vital that we give thought to how these individual outcomes can be scaled.
Furumi:
Every city has its own character. A key point then, I believe, is how do you identify what they have in common and use it to bring about a smart transformation that also brings out the best in the particular city you are working with.
*2)
A suite of next-generation solutions that use AI to upgrade social infrastructure. HMAX provides solutions that deliver new value around the world by combining large quantities of data obtained from both physical and digital assets with advanced AI and domain knowledge that Hitachi has built up over many years. HMAX Mobility is intended to deliver smarter, optimized transportation systems together with autonomous driving and mobility that works with the Internet of Things (IoT).