Enhancing Pedestrian Safety with AVs: Kean University’s VR Research

March 7, 2025

As the automation of vehicles advances at a staggering rate, there is a growing necessity to address the safety concerns around pedestrian interaction with autonomous vehicles (AVs). One of the most crucial issues is ensuring pedestrians can safely navigate streets populated by these driverless cars. Kean University in New Jersey is at the forefront of this endeavor, spearheaded by Lakshmi Subramanian, an assistant professor. Her team is leveraging cutting-edge virtual reality (VR) technology to examine how pedestrians behave around AVs, aiming to develop effective communication strategies between the two entities. This research could pave the way for safer integration of AVs in our urban landscapes.

The Increasing Urgency for Pedestrian-AV Interaction Research

Notable Incidents and Rising Concerns

The importance of understanding pedestrian-AV interaction is underscored by well-publicized incidents and an alarming rise in crashes involving autonomous vehicles. For instance, in October 2023, a Cruise robotaxi was involved in a significant accident where a pedestrian was injured. Such incidents fuel the debate on the safety of AVs, although industry leaders ardently defend that their technology surpasses human drivers in safety measures. Given the statistics showing substantial numbers of pedestrian and cyclist fatalities annually, there is an urgent need for technological interventions designed to mitigate these incidents.

Despite the optimistic assertions by the AV industry, the rise in fatalities necessitates a profound examination of how these vehicles interact with pedestrians. Subramanian’s research at Kean University taps into this essential need by focusing on the behavioral responses of pedestrians in the presence of AVs. Using state-of-the-art VR technology, her team simulates various street-crossing scenarios, providing invaluable insights into decision-making processes. These efforts align with a broader push within the industry to prioritize vulnerable road users, such as pedestrians and cyclists, within the safety frameworks of autonomous vehicles.

Technological Efforts to Enhance Safety

The core of the research hinges on the innovative use of VR technology to understand pedestrian behavior around AVs. This method follows Subramanian’s earlier work at the University of Iowa, where she identified the effectiveness of AVs signaling a safe crossing with a green light only when they were fully stopped. This approach was particularly safer for children, shedding light on how specific signaling mechanisms can significantly impact safety.

At Kean University, the research has evolved with the integration of CAVE-VR simulation technology, a project funded by the National Science Foundation. The simulation setup allows participants to wear VR headsets and navigate through various crossing scenarios, acting upon their perception of safety cues. This immersive environment produces a wealth of data on pedestrian decision-making that is crucial for developing better communication technologies between AVs and pedestrians. The detailed analyses from these simulations can inform design standards and policy recommendations, ultimately enhancing pedestrian safety.

Pioneering Solutions for Better Communication

External Displays and Audio Signals

One proposed solution from Subramanian’s research is the inclusion of external displays on autonomous vehicles to convey necessary cues to pedestrians. These displays can indicate the vehicle’s intentions, such as stopping or turning, which helps pedestrians make informed crossing decisions. The team is also exploring the future potential of integrating audio signals to enhance these visual cues. The idea is to create a multimodal communication system that can work universally, considering the diverse needs of pedestrians, including those with visual or hearing impairments.

This focus on external signaling mechanisms is part of a larger effort to address a broader context: multi-lane street crossings. Unlike most existing studies that center on single-lane scenarios, Subramanian’s team is delving into the complexities of multi-lane situations. These often pose higher risks and require more advanced communication strategies. By investigating these intricate scenarios, the research aims to not only improve pedestrian safety but also to provide manufacturers and policymakers with scalable solutions that can be widely implemented. This approach underscores the necessity for adaptable and robust systems as AVs become more integrated into daily traffic.

Broader Implications for Policy and Industry

The implications of this research stretch beyond academic interest, touching on pivotal elements of public safety and urban planning. As more AVs are deployed in cities worldwide, the knowledge gathered from these studies could inform regulatory frameworks and industry standards. The goal is to ensure that AV-pedestrian communication methods are incorporated into new vehicle designs and urban infrastructure plans. This proactive stance is vital to preventing accidents and fostering a harmonious coexistence between automated vehicles and the millions of pedestrians interacting with them.

The commitment to developing effective communication systems for AVs reflects a broader trend towards creating safer and more user-friendly urban environments. The systematic approach taken by Subramanian’s team at Kean University signifies a significant stride in comprehending and advancing AV-pedestrian interactions. These efforts are not just about technological innovation; they encompass a vision for safer cities where the benefits of automation do not come at the expense of pedestrian safety.

The Future of Pedestrian Safety in an Automated World

An Integrated Approach to Road Safety

The overarching trajectory of this research demonstrates a growing consensus that innovative communication technologies are paramount as autonomous vehicles integrate more fully into urban settings. Beyond simply fostering technology development, there is a holistic shift towards understanding how these advancements can deliver practical, life-saving benefits in real-world scenarios. Subramanian’s work exemplifies this shift, encapsulating a comprehensive and methodical approach to investigating AV-pedestrian interactions.

This research paradigm emphasizes the need for adaptable and universally effective communication methods that can be seamlessly integrated into the AV infrastructure. By continually refining these technologies through empirical studies and VR simulations, the aim is to establish a benchmark for safety protocols that can be adopted globally. This endeavor signifies a crucial step towards realizing the potential of autonomous driving while safeguarding pedestrians who navigate our bustling streets.

Steps Toward a Safer Urban Future

As vehicles become increasingly automated, there is a pressing need to address safety issues related to pedestrian interactions with autonomous vehicles (AVs). A paramount concern is ensuring that pedestrians can navigate streets that are shared with driverless cars without risking their safety. Kean University in New Jersey is taking a leading role in this area, under the guidance of assistant professor Lakshmi Subramanian. Her research team is utilizing advanced virtual reality (VR) technology to study pedestrian behavior around AVs. Their goal is to develop effective communication strategies between pedestrians and autonomous vehicles, facilitating a safer coexistence on the streets. This research is critical in ensuring that as AVs become more common in urban settings, they can be integrated seamlessly and safely, reducing the risk of accidents and enhancing public trust in this emerging technology. Subramanian’s work at Kean University could significantly contribute to the safer use of AVs, ultimately transforming urban mobility and pedestrian safety in our cities.

Subscribe to our weekly news digest.

Join now and become a part of our fast-growing community.

Invalid Email Address
Thanks for Subscribing!
We'll be sending you our best soon!
Something went wrong, please try again later