Several different deterministic and probabilistic mathematical approaches have been used to develop modal split models. The data collected by a questionnaire survey approach is frequently associated with subjectivity, imprecision, and ambiguity. additionally, several linguistic terms are used to express some of the transportation planning variables. This can be solved by modeling mode choosing behavior with artificial intelligence techniques such as fuzzy logic. In this research, Ramadi city in Iraq has been selected as a study area. For the purpose of obtaining data, the study area was divided into traffic analysis zones (TAZ). The total number of traffic zones was set as 28 traffic zones, 22 were internal traffic zones and 6 external traffic zones. Field surveys and questionnaires are used to collect data on traffic, land use, and socioeconomic characteristics factors (age, gender, vehicle ownership, family income, trip purpose, trip origin and destination, trip time, waiting duration, duration inside mode, trip origin and destination, trip cost, and type of mode used for transport). The results showed that the modal split models based on the fuzzy inference system can deal with linguistic variables as well as address uncertainty and subjectivity and they gave very good prediction accuracy for future prediction. Fuzzy inference system proved that all factors affected the mode choice with a very strong correlation coefficient (R) equal to 93.1 for general trips but when the results were compared with multiple linear regression model found that the correlation coefficient (R) equal to 28.9 for general trips and the most influential factors on the mode choice are car ownership, age and trip cost. Thus, it can be concluded that fuzzy logic models were more capable of capturing and integrating human knowledge in mode selection behavior. In addition, this study will help decision-makers to plan transportation policies for Ramadi city
Fallujah is one of Iraqi cities which need a comprehensive transport plan for its increased urban development and have increasing in umber of moving vehicles, caused an increasing in population with changes in the standard of living and daily trips especially at the central area, which causes jamming in transportation network. For the purpose of study, the study area in the north sector of Fallujah city is considered as one sector consists of (10) zones containing about (11954) dwelling units. Home interview survey was made of random sample which represent 5% of the study area population, and data collected through this zone. Data was related to socioeconomic characteristics of the population. The collected information solve by using the method multi – linear regression by a package(SPSS). The total persons trips per dwelling unit and various purposes were investigated. A trip production model in Fallujah city, through find relationship between socioeconomic characteristics (car ownership, family income, employee, family no., population, family size, time and cost of trip, distance to the center and area of household unit). It was found that the number of families is the most influential variable to trip production model.
Ramadi city is one of the cities that become need to Transportation planning studies , so its, last time have increase in population changed in social and economic state and have increasing in number of moving vehicles و which causes jamming in transportation network. For the purpose of study, the city was divided into 18 zones and data was collected through this zone. Data was related to socioeconomic characteristics of the population and field surveys were done for the base year (2000). The study has achieved building trip production model in Ramadi city, through find relationship between socioeconomic characteristics (car ownership, family income, employee no. , family no. , population, family size, time and cost trip, distance to the center and area of the dwelling). It was found that the number of families is the most influential variable to trip production model.
Ramadi city is one of the cities that become need to Transportation planning studies , so its, last time have increase in population changed in social and economic state and have increasing in number of moving vehicles و which causes jamming in transportation network. For the purpose of study, the city was divided into 18 zones and data was collected through this zone. Data was related to socioeconomic characteristics of the population and field surveys were done for the base year (2000). The study has achieved building trip production model in Ramadi city, through find relationship between socioeconomic characteristics (car ownership, family income, employee no. , family no. , population, family size, time and cost trip, distance to the center and area of the dwelling). It was found that the number of families is the most influential variable to trip production model.