作者: Teng Liu , Alhussein A. Abouzeid , A. Agung Julius
DOI: 10.23919/ACC.2017.7963812
关键词: Data modeling 、 Transport engineering 、 Flow network 、 Operations research 、 Bandwidth (signal processing) 、 Engineering 、 Telecommunications network 、 Social cost 、 Total cost 、 Communications system 、 Control (management)
摘要: Control of conventional transportation networks aims at bringing the state network (e.g., traffic flows in network) to system optimal (SO) state. This optimum is characterized by minimality social cost function, i.e., total travel time) all drivers. On other hand, drivers are assumed be rational and selfish, make their decisions route choices) optimize own costs, a user equilibrium (UE). In this paper we study SO UE future connected vehicular network, where users consider utility from data communication when making decisions. We leverage aspect decision influence choices, driving SO. propose an algorithm for calculating state, values that drive result provides guideline on how operator can adjust parameters pricing bandwidth) achieve cost. also discuss insights secondary optimization conduct maximize its without deviating