Abstract
The roadside parking of vehicles severely affects traffic flow conditions by increasing congestion, travel times etc. on urban roads as it reduces road capacity and need to be carefully examined to propose appropriate solution. Many microscopic traffic simulation (MTS) models have not analyzed driver behaviour around roadside parking areas deeply. In the present study, a separate parking area movement model has been proposed for MTS considering partial lane change behaviour which has been identified to describe driver behaviour especially at roadside parking areas. A suitable technique namely fuzzy logic has also been proposed to represent realistic driver behaviour around roadside parking areas considering uncertainties and perceptions because of human element and other complexities in modelling. The comparison between estimated and observed data on Gifu city network indicated that fuzzy reasoning approach has produced realistic driver behaviour than standard model. By applying proposed fuzzy logic based parking movement model in MTS, relevant transport policy namely on-street parking restriction has been evaluated.
