Modelling the effects of road pricing on traffic using ERP traffic data

摘要: Singapore’s Electronic Road Pricing (ERP) system involves time-variable charges which are intended to spread the morning traffic peak. The revised every three months and thus induce regular motorists re-think their travel decisions. ERP data, captured by system, provides a valuable source of information for studying motorists’ behaviour. This paper proposes new modelling methodology using these data forecast short-term impacts rate adjustment on peak period volumes. Separate models developed different categories vehicles segmented according demand elasticity with respect road pricing. A method is proposed estimating maximum likelihood value preferred arrival time (PAT) each vehicle’s arrivals at particular gantry under charging conditions. Iterative procedures used in both model calibration application. approach was tested datasets recorded 2003 located Central Expressway (CTE). validation show satisfactory results.