A Smart Algorithm to Relief Traffic Congestion

The objective of the study is to develop an efficient travel management model to generate a smart transportation corridor system to mitigate congestion which will prevent, or minimize traffic delays on urban freeways. Based on a first order partial differentiation (PDE) method via a "continuum" approach this study develops a mathematical model which will capture the behavior traffic flow during the time of congestion downstream. Using simulation, the density of traffic on freeways can be estimated by calculating the number of smart connected vehicles escaping through the nearest off ramp during the time of congestion. Again saved travel time can be calculated. Besides ultimately it can be determined where to construct exits in particular aiming to understand traffic phenomena in order to eventually make decisions which may alleviate congestion, maximize flow of traffic, eliminate accidents, minimize automobile exhaust pollution, and other desirable ends. The model validation will be carried out using a simulation of cascading scenarios with traffic data for I-405 freeway (with exit ramps) and its surrounding roadway network in the corridor at Southern California region.