Parallel Transportation Management and Control System and Its Applications in Building Smart Cities

Advancements in complexity, complex systems, and the intelligence sciences, particularly smart city technologies, have shown great potential in aiding to ease traffic congestion. The overall approach and the main ideas in building smart transportation for smart cities, particularly ACP (artificial system, computational experiment, and parallel execution)-based parallel transportation management and control systems (PTMS), are presented. PTMS can be expanded to the new generation of intelligent transportation systems. The main components of the proposed architecture include social signal and social traffic, ITS clouds and services, agent-based traffic control, and transportation knowledge automation. Some technical details of these components are discussed. Finally, one case study is introduced, and the effectiveness is analyzed.

I. Introduction

With the constant progress of global urbanization, complex economy situation, increasingly severe shortage and emergence of social contradictions, etc., urban development is brought with huge challenge. Smart city construction is the inevitable choice for realizing the strategic target for constructing a livable and modernized international city.