چکیده مقاله
Analysis of trip demand has four stages and trip generation is one of the initial and most important stages aims to estimate number of generated trip in different regions of the city accurately Since, the obtained information of trip generation stage is one of the main data and influences on accuracy of all stages in analysis of other trip stages, so increasing prediction accuracy in trip generation stage can provide more accurate results of model Increasing prediction accuracy is possible in two ways generally First, increasing accuracy and dimensions of used database which is expensive in term of financial and time , and second is using more advanced modeling methods So, in this study in addition to identify the influencing factors on trip generation and providing some descriptions about fuzzy systems and how to train these system due to information limit, a hybrid model for trip generation based on linear regression and fuzzy neural system is provided as an appropriate option For this purpose, eight important parameters including population, number of students, number of college’s student, per capita ownership of cars in household, distance of traffic area of the city center, number of employed individuals in the region, number of residents employed individuals and number of resident households are used as most important influencing factors in the trip generation as input function and number of generated trips is used as output function Finally, this modeling method is used to process models of Yazd city based on transportation information in 2012 and the results comparison of high accuracy of model, despite additional cost is needed to supply information
کلیدواژهها
نویسندگان
Ali Mansour Khaki
Associate professor, Department of Engineering, Islamic Azad University,Central Tehran Branch, Tehran, Iran
Hamid Dehghan Banadaki
PhD Student of Civil Engineering Transportation, Islamic Azad University,Central Tehran Branch, Tehran, Iran
Ahmad Naderinasab
M Sc of Civil Engineering construction engineering and management,Islamic Azad University, Yazd, Iran
Seyyed abuzar hoseini aqda
M Sc of Civil Engineering Road and Transportation, Yazd University, Yazd, Iran
شیوه ارجاع
Mansour Khaki, Ali and Dehghan Banadaki, Hamid and Naderinasab, Ahmad and hoseini aqda, Seyyed abuzar,1395,Providing a Model Based Fuzzy-Neural Network Logic to Predict the Amount of Trip in the Medium Cities (Case Study: Yazd, Iran),The 16th International Conference on Traffic and Transportation Engineering,Tehran
ارائهشده در
مجموعه مقالات شانزدهمین کنفرانس بین المللی مهندسی حمل و نقل و ترافیک10 اسفند 1395 · تهران