Cross-domain cooperative route planning for edge computing-enabled multi-connected vehicles

Abstract

The safety and effectiveness of transportation systems could be improved significantly through edge computing which can be relied on to assist intelligent and connected vehicles (ICVs). However, with the rapid increase in the number of ICVs, traffic congestion worsens as a result of demand exceeding the capacity of a specific roads. To solve the issues, a cooperative route planning transportation system is proposed for edge computing-enabled multi-connected vehicles. This system is intended to achieve the cross-domain load balancing of connected vehicles and traffic flow domains. Furthermore, an iterative interior point is proposed to minimize the overall probability of traffic congestion by directing the routes of multi-connected vehicles in a coordinated way. According to the simulation results, the suggested scheme reduces the average travel time by 4.85%, 15.62%, 35.54% and 63.11% compared with others. Meanwhile, there is a significant improvement of performance in terms of traffic congestion rate and traffic load.