The analysis of the urban road traffic flow system in the city of Doha

Traffic operations on Doha roads are characterized by increasing congestion and delay, lack of parking, and increasing level of vehicle-related air pollution due to: increasing dependence upon automobiles, inadequate parking, inadequate alternatives to auto travel and lack of environmental strategy. This study forecasts changes in volume of road traffic and level of vehicle ownership due to changes in socioeconomic structure, travel characteristics, vehicles ownership, and land use pattern. Traffic Forecasting Model is developed using some econometric techniques. The model includes policy-responsive variables that policy-makers will be able to control. Transportation system management actions are identified on the basis of the model and are selected based on the compatibility of the individual action and applicability of whole groupings of actions that could successfully be combined within a single program package. Final results are based on selected models. Those models are estimated and tested for forecasting purposes. Forecasted volumes of traffic for different periods in future are obtained for policy implications.