Can interaction between autonomous vehicles and human drivers increase road safety?

Researchers from the Ecole Polytechnique Fédérale in Lausanne (EPFL), Switzerland and Japan’s JTEKT Corporation have developed an automated driving system that aims to increase transportation safety, efficiency and comfort by encouraging active interaction between autonomous vehicles and their human drivers.

Autonomous driving technologies have already been integrated into many mass-produced vehicles, providing flesh-and-blood drivers with steering assistance in tasks such as keeping a vehicle in its lane. But the little data available on automated driving safety shows that placing too much control in the “hands” of automation can do more harm than good, as disengagement by human drivers can increase the risk of accidents.

“Current vehicles on the market are either manual or automated, and there is no clear way of making their control a truly shared experience. This is dangerous, because it tends to lead to driver over-reliance on automation,” explained Jürg Schiffmann, head of the laboratory for applied mechanical design in the EPFL’s School of Engineering.

Collaborating with Japanese steering system supplier JTEKT Corporation, they have developed and successfully road-tested a haptics-based automated driving system that integrates different modes of human-robot interaction. Haptic technology (also kinaesthetic communication or 3D touch) is technology that can create an experience of touch by applying forces, vibrations or motions to the user The researchers hope that their approach will increase not only the safety of automated driving, but also social acceptance of it.

“This research was based on the idea that automation systems should adapt to human drivers, and not vice versa,” said EPFL doctoral student and JTEKT researcher Tomohiro Nakade, who is also the first author on a recent paper describing the system published in the nature journal Communications Engineering under the title “Haptics based multi-level collaborative steering control for automated driving.”

Nakade added that a good metaphor for the new system can be drawn from a transportation mode that predates automation: “A vehicle must be open to negotiation with a human driver, just as a horseback rider conveys his or her intention to the horse through the reins.”

Unlike current automated driving systems, which use only cameras for sensory input, the researchers’ more holistic approach integrates information from a car’s steering column. It also encourages continuous engagement between driver and automation, as opposed to current automated systems, which are typically either switched on or off.

“In automation in general, when humans are just monitoring a system but not actively involved, they lose the ability to react,” says Robert Fuchs, a former EPFL doctoral student who is now an R&D general manager at JTEKT Corporation. “That’s why we wanted to actively improve driver engagement through automation.”

The researchers’ system achieves this thanks to three functionalities – interaction, arbitration and inclusion. First, the system distinguishes between four different types of human-robot interaction; cooperation (the automation supports the human in achieving a goal); coactivity (the human and automation have different goals but their actions impact one another); collaboration (human and automation assist one another in achieving different goals); and competition (human and automation activities are in opposition).

Next, as the driver operates the vehicle, the system moves between different interaction modes depending on the evolving situation on the road. For example, the car might switch from collaboration to competition mode to avoid a sudden collision threat.

To test their system, the researchers developed experiments involving a simulated virtual driver and a human driver using a detached power steering system, a full driving simulator and even field tests with a modified test vehicle. The field tests were carried out with the participation of five drivers on a JTEKT test course in Japan’s Mie prefecture, by connecting the researchers’ system to a standard sedan via an external controller.

The researchers specifically tested drivers’ experiences of steering smoothness and lane-changing ease, and their results confirmed the system’s significant potential for increasing comfort and reducing effort for drivers through collaborative steering.

“This is a very practical concept – it’s not just research for research’s sake,” concluded Schiffmann, adding that the software-based system can be integrated into standard mass-produced cars without any special equipment.”