Abstract
In this paper, we present two new algorithms for MetroCar System (MCS) vehicles at a merging zone. First algorithm states the regulations of vehicles in the same road such as control the following vehicle’s to prevent collision with the frontier vehicle. Second algorithm is for merging section of roads in order to prevent any collision at merging point. The proposed algorithms are verified and validated by using simulation results of the NetLogo simulation software. The simulation results show that the proposed algorithms guarantees that no collision occur at the merging zone.DOI: http://dx.doi.org/10.5755/j01.eie.24.3.20956
Highlights
Traffic congestion is one of the main problems in many countries
We developed a tracking and merging algorithms for MetroCar System (MCS) vehicles in order to ensure safe and efficient flow at merging zone
We design a main and a secondary road to test our algorithm with NetLogo simulation platform
Summary
Traffic congestion is one of the main problems in many countries. This problem causes driver distractions and tiredness. Connected and automated vehicles on merging zone make a contribution to improve safety and reduce traffic congestion. Presented a longitudinal freeway merging control algorithm for maximizing the average travel speed of fully automated connected vehicles [16]. A nonlinear optimization model is developed by Xie et al [22] in order to improve traffic safety and increase traffic flow at freeway ramps This model uses the second-bysecond accelerations of all vehicles as the decision parameter and tries to maximize the total speed of all vehicles. A novel merging algorithm is developed for MCS vehicles in order to increase the safety and to decrease the traffic congestion at merging zone.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
