TRAFFIC CONGESTION CONTROL FOR UNPLANNED CITIES
Journal: International Journal of Civil Engineering and Technology (IJCIET) (Vol.10, No. 6)Publication Date: 2019-07-06
Authors : Metwally G. M. Altaher Ahmed Mohamady Abdallah Mohamed Abdelghany Elsayed Abd El-Rahman Baz Abd El-Samii Mahfouz;
Page : 528-540
Keywords : Transportation Studies; Modal Split; Mode Choice; Utility Function; Multinomial Logit Model; Logistic Regression; and Biogem Software.;
Abstract
The mean value of average overall running speed (AORS) in Zagazig city main streets (ZCMS) is about 10 kph. This means that traffic congestion is common phenomenon all over ZCMS. This leads to more trips delays, traffic accidents, fuel consumption, air pollution, noise, etc. Many reasons cause traffic congestion specially the huge number of running vehicles on ZCMS all day time comparing to their characteristics. This study aims to decrease the running vehicles volume on ZCMS to its minimum and improve level of service. A comprehensive experimental program was designed and implemented starting with reviewing past studies then designing questionnaires to collect data required to define and improve the current situation. Two questionnaires were designed to define ZCMS current situation and to forecast the proposed situation in the case of adding new mode facilities. Analyzing collected data, utility functions for current situation scenario (Scenario 0), adding public buses system to current modes scenario (Scenario 1), and adding luxury public buses system to current modes scenario (Scenario 2) are determined. Based on the calculated utility functions, volume of different commonly types of modes in Zagazig enough to generated trips implementation are determined. As well as corresponding real number and types of modes used in implementing Zagazig generated daily trips (ZGDT). Analyzing study results, it is found that no significant difference is noticed between real volumes of modes required to implementing ZGDT and the identical determined using utility functions of Scenario 0. Appling polices of Scenario 1 reducing the volumes of modes required to implementing ZGDT to 44.90% of the original required volumes. Applying Scenario 2 reaches volume reduction to 56.97%. It's anticipated that AORS in ZCMS will be increased by 42% applying polices of Scenario 1 and 64.5% when applying polices of scenario 2.
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