As the society evolves it generates transport demand. An estimate of the volume of trips between zones is a necessary step in transportation studies. The classical transportation planning methods are based on simple extrapolation of trends. Some mathematical models like linear programming models have also been used by researchers for estimating traffic generation for future period. This paper presents a model for trip distribution in Delhi Urban Area using Genetic Algorithm. This model has been used for trip distribution in all zones of Delhi Urban Area. This model is applied on the real set of data on passengers trips generated and passengers trips attracted in all zones of Delhi Urban Area, which in turn gives satisfactory results which can be applicable in current and future scenarios. This work analyzes and compares the result of this model with Linear programming model for trip distribution.
Comments: 8 Pages.
[v1] 2012-08-18 22:00:24
Unique-IP document downloads: 307 times
Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.