*Author for correspondence Indian Journal of Science and Technology, Vol 9(44), DOI: 10.17485/ijst/2016/v9i44/105291, November 2016 ISSN (Print) : 0974-6846 ISSN (Online) : 0974-5645 MATLAB Adaptive Study of Traffic Related Accidents and Travel Demand Forecasting Case Study: Jalandhar D. Sai Kiran Varma, Ankit Bansal and Lalrinzuala Bawitlung Department of Civil Engineering, Lovely Professional University, Phagwara, India; saikiran.lpu@gmail.com., ankit.19432@lpu.co.in., lal.bawitlung@gmail.com. Abstract The present studies arises with a need of elaborate computer adaptive simulation of traffic variables and provide models for accidents and travel demand using various variables and respective graphical representations, which would augment the conventional methods of forecasting providing rationality and validation of models. Objectives: 1. Improving the substantiality of traffic accidents forecasting by using Mathematical modeling and Computer programming such as MATLAB. 2. Understanding inter-dependence of traffic components. Method/Analysis: Taking in view of the constraints and resource availability, the study is subjected to the area of Jalandhar city. Changes in transportation system have its links attached to change in traffic characteristics and travel demand. Such effects have also been considered. MATLAB, a high level language of technical computing is used for mathematical modeling of various traffic related data and analyzing it by creating algorithms. The output of model gave relationship of total number of accidents and travel demand (values of coefficient of variables using 95% confidence limits) with respect to the traffic variable with r-square value (Coefficient of Determination) of the model comparing the actual values with simulated values to be 0.82, which shows the fitness of the model and assures the model to be good. Applications/Improvements: The study has resulted in providing a model for forecasting the total number of accidents and the travel demand of the study area. Various factors have been judged to perform the analysis inferring the significant impact of factors in predicting total number of traffic related accidents in Jalandhar. 1. Introduction Study of traffic characteristics and traffic components forecasting has become a crucial need for cautious investment in projects related to transport and its planning. It is essential to analyze traffic behavior and forecast it for a specific period provided with desired accuracy. With the trend of development and increase in national economy, there’s an importance to evaluate traffic characteristics and forecast traffic volumes and behavior such that it could result in better planning and control of road projects. Thus, study of traffic patterns, characteristics and forecasting has become equally rel- evant which arises the need of rational evaluation of traffic behavior and it’s forecasting. e growth in vehicular ownership numbers with respect to population has resulted in great change in traffic trends especially in business driven cities like Jalandhar, Keywords: Accidents, MATLAB, Simulation, Traffic, Travel Demand