Publication

Development in wireless communication and sensors technology has taken transport systems towards the next step. From Intelligent Transport Systems (ITS) to Connected & Automated Transport Systems, where actors in the systems are equipped with “advanced” sensors and wireless communication module. Actors in the systems can includes vehicles, road infrastructures, pedestrian, bicyclist, etc. Combining driving automation with connectivity provide many expected benefits. For example, interactions with vehicles operating in autonomous mode are now possible with the connectivity. Moreover, actors in the systems have access to more information, to support their decision making. On the other hand, many challenges has emerged from adding the new technologies to transport systems. Actors may have to rely on the information from others, which might be faulty or not up-to-date. This could leads to making wrong decisions, and cause accidents, or chaotic behaviours in the systems. Thus, to assure reliability in the systems, that have many dependencies among actors, is a challenge. Moreover, ensuring safety and security, while maintaining the expected benefits of Connected & Automated Transport Systems, is another big challenge. On top of these two examples, considering all challenges together, the systems are more complex compared to ITS. Such complex systems are dicult to test and evaluate. Going through all possible scenarios is almost impossible, therefore, a methodology for testing and evaluation of Connected & Automated Transport Systems is important and required. Besides methodology, a tool or framework that can be used to study most aspects of Connected & Automated Transport Systems is needed. During the early development phases of automotive applications, simulations are often used to support the development. Similar approach has been applied for transport systems, where many simulation tools have been proposed, and used to test and evaluate the systems. However, simulation tools dedicated to determine all aspects of Connected & Automated Transport Systems are rare, especially human factors aspects, which are often ignored. The majority of the simulation tools rely heavily on dierent combinations of network and trac simulators. The human factors issues have been covered in only a few simulation tools, that involve a driving simulator. Therefore, this presentation will present a simulation framework for Connected & Automated Transport Systems studies with examples from platooning, or Cooperative Adaptive Cruise Control (CACC) applications. The presented simulation framework consists of driving, network, and trac simulators. The driving simulator uses the driving simulation software from the Swedish National Road and Transport Research Institute (VTI). The driving simulation software can be run either on a desktop computer, or a moving base driving simulator depicted in Fig. 1. So far, a desktop computer is used to run the driving simulation software. For trac simulator, a modified version of Simulation of Urban Mobility (SUMO) [1] is used. Veins [2] is altered and used as a network simulator.