Impact of Connected and Automated Vehicles on Capacity of single lane road based on macroscopic fundamental diagram

Karbasi, Amirhossein Bamdad Mehrabani, Behzad [UCL] Saffarzadeh, Mahmoud [Tarbiat Modares University]

Shortly, Automated Vehicles (AV) will be used in urban streets in many countries. On the other hand, many countries are faced with congested problems and are looking for some way to solve congestion problems. Therefore, it is necessary to find the impact of these vehicles on different aspects of transportation planning. In recent years many researchers have been encouraged to investigate the impact of Connected and Automated Vehicles (CAV) on the capacity of transportation networks. In this paper, we have a specific goal, and the goal is to show how CAVs can influence roads' capacity. In this research, we choose the SUMO simulator to reach our goal. Besides, we use Krauss car-following model to specify the following vehicle behavior and also choose the speed-density relationship and macroscopic fundamental diagram (MFD) to determine the density and capacity of our network. In the last part, we show the result of a simulation-based on data collected from the SUMO simulator. Based on results, CAVs have great potential to improve transportation networks' situation from a capacity perspective.