• KRUPALI RATHOD
• AMIT AMIN
• DR. L. B. ZALA

Trip generation estimates the number of trips to and from a traffic, analysis zone. This process is the first stage of the conventional four-step travel forecasting framework. Although many approaches have been suggested for this step, regression and category analyses have been widely applied. The two methods have generated an acceptable level of performance from the perspective of transport planning. The cell-by-cell calculation in this method also increases the concerns about unreliable estimation of trip rates. Censored regression, count data, and discrete choice models have been visited for the alternative of regression approach while the multiple classification method has been conceived for the substitute of the category analysis. Three representative models – regression, Poisson, category, and multiple classification analyses – were applied to the homebased work trips in the Vadodara.

Transportation models; Travel demand; Trip forecasting; Data analysis; Data collection; Traffic surveys

"TRIP GENERATION ANALYSIS: “A CASE STUDY OF VADODARA CITY”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.275-280, April-2019, Available :http://www.jetir.org/papers/JETIR1904P43.pdf

"TRIP GENERATION ANALYSIS: “A CASE STUDY OF VADODARA CITY”", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp275-280, April-2019, Available at : http://www.jetir.org/papers/JETIR1904P43.pdf