Intelligent Intersection Management with Non-Connected and Non-Autonomous Motorcycles

Abstract

Intelligent intersection management is a very representative application of connected and autonomous vehicles, and there have been many related works from different perspectives. However, motorcycles have not yet been considered in intelligent intersection management, and this is a crucial problem for certain places, especially those with high population densities. In this paper, we consider motorcycles and identify the fundamental differences from existing intelligent intersection management. Considering the features of motorcycles, we propose to use grouping and two-phase left turns with waiting zones for motorcycles to improve the traffic efficiency of an intersection where vehicles are connected and autonomous and motorcycles are non-connected and non-autonomous. To the best of our knowledge, this is the first work in the literature to model and study the intelligent intersection management with motorcycles. Our case study demonstrates essential trade-offs and insights for designing intelligent intersection management with motorcycles.