Route Choice-Based Socio-Technical Macroscopic Traffic Model

Human route choice is undeniably one of the key contributing factors towards traffic dynamics. However, most existing macroscopic models are typically concerned with driving behavior and do not incorporate human in their formulation. In this paper, we propose a socio-technical model that characterizes states using attributes. Essentially, such provides framework for capturing Cyber-Physical-Social coupling smart transportation systems. To derive model, first use Cumulative Prospect Theory (CPT) to passengers’ under bounded rationality. These choices assumed be influenced by alerts other incomplete information. Next, assume vehicles operating non-cooperative cruise control scenario. Accordingly, segregates into multiple classes where each class corresponds specific between an origin-destination pair. Thereafter, Mean Field Game (MFG) limit game obtain which embeds attribute. Finally, analyze mathematical characteristics proposed present simulation studies illustrate show comparison model.