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This paper describes the use of the multi-agent systems (MAS) modelling approach, incorporated with reinforcement learning models, that is experimented on a part of Osaka road network with ITS-based travel time information. The MAS model included an exact solution method to solve the vehicle routing problem of carriers' delivery jobs and is used to evaluate the short-term impact of distance-based road pricing on the major stakeholders including the carriers, shippers, administrators anddoi:10.1016/j.sbspro.2014.01.1456 fatcat:xsupbgzzezgztiwptocsanizfu