Traffic Demands Policies Effect on Congestion, Delay and Fuel Consumption
Amani Al Tamseh1, Eslam Al Karabsheh2, Salam AL Kasassbeh3
1Amani Al Tamseh*, Civil Engineering Department, Al Balqa Applied University/ Faculty of Engineering Technology, Amman, Jordan.
2Eslam Al Karabsheh, Civil Engineering Department, Al Balqa Applied University/ Faculty of Engineering Technology, Amman, Jordan.
3Salam Al Kasassbeh, Civil Engineering Department, Al Balqa Applied University/ Faculty of Engineering Technology, Amman, Jordan. Email:
Manuscript received on February 10, 2020. | Revised Manuscript received on February 26, 2020. | Manuscript published on March 10, 2020. | PP: 521-527 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2487039520/2020©BEIESP | DOI: 10.35940/ijitee.E2487.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Traffic demands on Jordanian streets have been affected by the increasing human population and the number of vehicles. This study aims to apply transportation demand management (TDM) techniques to improve the level of service (LOS). The study employs both TDM and transportation system management (TSM). In order to investigate what type of strategies to be considered a questionnaire is used. The acceptance degrees of the TDM and TSM groups were measured via the questionnaires using SPSS version 20. The selected policies then are used on a certain location as a study case in Amman city; an intersection is connecting two urban main streets. The used policies have a reduction percentage in traffic demands which is expected throughout an expert panel. The results show that delay and fuel consumption are indeed reduced; however, this does not lead to any considerable improvement in the LOS. The LOS was enhanced when the reduction in traffic demand reached 20% with an increase in capacity achieved by adding 3 new lanes. The fuel consumption and delays were measured to be about 35% less with growth rate of 8% for the coming five years. This study is expected to help popularize TDM policies in place of other solutions so that inexpensive measures can be adopted by the government.
Keywords: Transportation Demand Management, Traffic Demand, Fuel Consumption, Delay.
Scope of the Article: Network Traffic Characterization and Measurements