doi: 10.7763/IJMO.2012.V2.102
The Model of Arranging Trip Demand to the Central Areas of the Cities by Creating Traffic Restricted Zone
,
Mir Ramin Mousavi
- Faculty of Engineering, Islamic Azad University, Tabriz, Iran
Abstract
Faced with traffic issues, just increasing the capacity and offering more supply could not be the best option. Increase in the supply will result in the increase of demand. Optimum use of network capacity without spending huge costs, only by using management methods and tools is one of the goals of trip demand management to decrease the traffic problems. Applying special traffic restrictions for typical vehicles in some internal urban pathways is an example of these restrictions. The central part of the city has special importance because of the existence of important and trip attractive land uses there. Improvement of traffic and promotion of public transportation usage are among the goals of this management policy. So in this study, a model for creating a traffic restricted zone has been suggested and its effects on the network functional factors are investigated. Then the suggested model is evaluated by simulation through EMME/2 to create a traffic restricted zone typically in Tabriz city. Finally, as a result of this survey, the effects of implementation of this plan to improve the traffic management in central part of the city are studied.
Keywords
- Demand
- traffic restricted zone
- trip assignment
- trip distribution
- trip matrix
How to Cite
Alireza Naseri and Mir Ramin Mousavi, "The Model of Arranging Trip Demand to the Central Areas of the Cities by Creating Traffic Restricted Zone," International Journal of Modeling and Optimization, vol. 2, no. 2, pp. 153-157, 2012. https://doi.org/ 10.7763/IJMO.2012.V2.102
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).