Cloud Computing for Agent-Based Urban Transportation Systems

Citations Over TimeTop 1% of 2011 papers

Abstract

Agent-based traffic management systems can use the autonomy, mobility, and adaptability of mobile agents to deal with dynamic traffic environments. Cloud computing can help such systems cope with the large amounts of storage and computing resources required to effectively use of traffic strategy agents and mass transport data. This article reviews the history of the development of traffic control and management systems within the evolving computing paradigm and shows the state of traffic control and management systems based on mobile multiagent technology. An intelligent transportation cloud could provide services such as decision support, a standard development environment for traffic management strategy, and so on. Moreover, the cloud can generate, store, manage, test, optimize, and use mobile traffic strategy agents to maximize advantages of cloud computing and agent technology to effectively control and manage urban-traffic systems.

Related Papers

• → Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management(2019)361 cited
• → A Traffic Prediction for Intelligent Transportation System using Machine Learning(2021)13 cited
• → Special issue on intelligent transportation systems, big data and intelligent technology(2016)20 cited
• → Research on Coordinated Processing Scheme of Intelligent Transportation under Big Data Structure(2020)7 cited
• → Calculating the contribution rate of intelligent transportation system for the smooth general characteristic of urban traffic(2014)2 cited