System and method to generate recommendations for traffic management

A method to generate recommendations for traffic management, the method comprises steps of:

• receiving, by a processor, historical traffic data, associated with a target geographical location, from a set of sources, wherein the historical traffic data comprises traffic data corresponding to each road segment in the target geographical location;
• analysing, by the processor, the traffic data corresponding to each road segment using at least one machine learning algorithm, from a set of machine learning algorithms, to forecast a traffic intensity, corresponding to each road segment, at pre-defined day parameters;
• comparing, by the processor, the traffic intensity corresponding to each road segment with a predefined upper threshold value to identify one or more congested road segments from the set of road segments;
• comparing, by the processor, the traffic intensity corresponding to each road segment with a predefined lower threshold value to identify one or more uncrowded road segments from the set of road segments, when the traffic intensity is less than the predefined upper threshold value;
• identifying, by the processor, a target road segment, from the one or more uncrowded road segments, corresponding to each congested road segment using at least one routing algorithm from a set of routing algorithms;
• and
• generating, by the processor, one or more recommendations, corresponding the one or more congested road segments and the one or more uncrowded road segments, based on the target road segment for traffic management.

A computer program product having embodied thereon a computer program for providing access to a user based on a multi-dimensional data structure, the computer program product comprising:

• a program code for receiving historical traffic data, associated with a target geographical location, from a set of sources, wherein the historical traffic data comprises traffic data corresponding to each road segment in the target geographical location;
• a program code for analysing the traffic data corresponding to each road segment using at least one machine learning algorithm, from a set of machine learning algorithms, to forecast a traffic intensity, corresponding to each road segment, at pre-defined day parameters;
• a program code for comparing the traffic intensity corresponding to each road segment with a predefined upper threshold value to identify one or more congested road segments from the set of road segments;
• a program code for comparing the traffic intensity corresponding to each road segment with a predefined lower threshold value to identify one or more uncrowded road segments from the set of road segments, when the traffic intensity is less than the predefined upper threshold value;
• a program code for identifying a target road segment, from the one or more uncrowded road segments, corresponding to each congested road segment using at least one routing algorithm from a set of routing algorithms;
• and
• a program code for generating one or more recommendations, corresponding the one or more congested road segments and the one or more uncrowded road segments, based on the target road segment for traffic management.