Abstract
This paper presents a carbon efficient transport management system that uses agent-based technology to simulate the existing transport infrastructure of a city. By utilizing real-time information about the current use of transport infrastructure from different data sources (e.g. road-side sensors) the system is capable of providing guidance to everyday commuters. The guidance is primarily in the form of multi-mode route suggestions with the aim of reducing overall carbon-dioxide emissions. This paper describes the architecture of the transport management system along with the design details of multi-agent system. The initial results of the simulations validate the feasibility of the multi-agent system in providing carbon-efficient transport management for an urban city.