Identify the issues and improvise them for the betterment of the users. Sensitivity Analysis is alsoĮxecuted to determine the relative importance of each parameter and help the transport authorities to Neural Network (BRANN) is adopted for the prediction of 3WhLOS scores. The influence of service parameters towards perceived 3WhLOS score. Spearman's correlation analysis is performed to fathom Intersections located at 7 different cities of India. Intersections operating under mixed traffic conditions. This study brings to an AI-based ThreeWheeler Level of Service (3WhLOS) model to evaluate the service quality offered by un-signalized Service (LOS) models for forecasting motorized three-wheelers' service quality at uncontrolled unsignalized intersections under heterogeneous traffic conditions. While studying the literature, researchers do not find any significant Level of In developing nations like India, due to non-homogeneity in traffic streams, the flow of motorized threewheelers gets clogged. The critical factors affecting the level of service are critical gap and traffic volume. All factors analysed under four parameters to determine the level of service of the two junctions were contributing equally and correlates with each other and there was not one that exceeds the other factor.
These output values are highly influenced by the respective input values. The input influences the value for the average control delay which assists in determining the Level of Service of the intersection. Fixed values to be input into SIDRA Intersection are obtained from the traffic volume study. Referring to the Highway Capacity Manual (HCM), these variable parameter values are determined and then the expected output of the aaSidra being used in the analysis of this study are average control delay, existing level of service, and capacity of the junction. Four parameters were analysed in this thesis: critical gap, follow-up time, proportion of heavy vehicles or motorcycles and total number of vehicles for each of the approaches of the intersection. aaSIDRA Intersection software was used to analyse the data which were manually obtained through traffic volume study carried out at the two junctions during the morning peak period and also helps in producing the capacity and Level of Service of the intersection. This thesis discusses about the use of Akcelik & Associates Signalised & Unsignalised Intersection Design and Research Aid (aaSIDRA Intersection) Software in the analysis of unsignalised intersection in Sarawak, Malaysia.
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