Resilient Intersection Management With Multi-Vehicle Collision Avoidance

Abstract

In this paper, we propose a novel decentralised agent-based mechanism for road intersection management for connected autonomous vehicles. In our work we focus on road obstructions causing major traffic delays. In doing so, we propose the first decentralised mechanism able to maximise the overall vehicle throughput at intersections in the presence of obstructions. The distributed algorithm transfers most of the computational cost from the intersection manager to the driving agents, thereby improving scalability. Our realistic empirical experiments using SUMO show that, when an obstacle is located at the entrance or in the middle of the intersection, existing state of the art algorithms and traffic lights show a reduced throughput of 65–90% from the optimal point without obstructions while our mechanism can maintain the throughput up to 94–99%.

IoT and machine learning for enabling sustainable development goals

“…A majority of mobility-related HIW solutions are based on data collection from computer vision IoT devices such as cameras. These are very rich in information and can be used for multiple urban mobility applications including optimising traffic (Worrawichaipat et al, 2021), surveillance for safety/ security remote monitoring (Shambharkar and Goelcorresponding, 2023), and modelling multi-modal urban mobility (Yasir et al, 2022) (Xiao et al, 2022). Nonetheless, several challenges arise from relying on cameras for such HIW solutions (see Table 3).…”

From intelligent agents to trustworthy human-centred multiagent systems

“…To that end, it is crucial to capture the preferences of mobility agents (being riders, drivers, or service providers), elicit them, and take them into account using realistic multiagent preference aggregation and incentive engineering methods. 5 In this context, we are active in developing multiagent techniques for effective management of intersections [102][103][104][105] as well as mechanisms that support mobility-enabling services (e.g. for an optimal distribution of charging stations for electric vehicles) [9,106,107].…”