Smart‐agent system for flexible, personalised transport service

Various studies are on‐going, for smart‐technology and the Internet of things, on a range of issues, to optimist services in the urban transport sector. A key challenge in urban‐transport sustainability is shifting commuting transport demands to cost‐effective modes, given the capacity of transport operators in cities are usually under pressure; hence, the need for innovative approaches. This research focus on smart‐agent system, for flexible, personalised transport service (SAPS), addressing on‐time access and multiple‐provider‐resource management, for personalise commuting services; and to minimise carbon emission footprints. It applies intelligent agent‐support algorithms in managing urban‐transport resources. SAPS architecture utilises intelligent agents for collaboration strategies in negotiating personalised‐transport‐resource requirements, with multiple‐urban‐transport providers. On the basis of commuter requirements, which are updatable in real time, the system devises adaptive‐routing plans, formalising provider–commuter service plans, between commuters and transport services providers; hence, delivering customisable urban‐transport services. Results and functional prototype of the smart‐urban‐transport agent system demonstrates effective personalised urban‐transport services for ‘green commuting’. The approach optimises urban‐transport services for commuters and providers; significantly cuts down CO 2 emission footprints, thus providing eco‐friendly urban‐mobility services and improving management of commuting infrastructure.