Digital Signal Processing


Trip Distribution Model for Delhi Urban Area Using Genetic Algorithm

Authors: Shivendra Goel, J.B. Singh, Ashok K. Sinha

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.

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Submission history

[v1] 2012-08-18 22:00:24

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