Abstract: The disclosed embodiments illustrate methods and systems for predicting requirements of a user for resources. The method includes transforming a message posted by the user into a first message vector. The method further includes categorizing one or more first message vectors into one or more categories. The method further includes transforming each of the categorized first message vectors into one or more second message vectors using a wavelet transform technique. The method further includes determining, for each of the categorized first message vectors, a first score based on at least a probability distribution of one or more coefficients associated with each associated feature. The method further includes selecting a predefined number of features based on at least the first score. The method further includes training one or more classifiers on the selected predefined number of features to identify at least the one or more needs of the user.

Abstract: The disclosed embodiments illustrate methods and systems for determining an effect of a weather condition on a transportation network. The method includes receiving one or more parameters of the weather condition in a geographical area for a predetermined time-period. The method further includes determining a delay from a scheduled time of arrival of one or more vehicles, associated with the transportation network, at a location from one or more locations, in the transportation network, in the geographical area for the predetermined time-period. Thereafter, a sensitivity of the one or more locations to the weather condition of the geographical area is determined by correlating the delay with the one or more parameters of the weather condition. Further, the sensitivity of the one or more locations is displayed, through a user interface, as a first layer overlaid on a map of the geographical area.

Abstract: The disclosed embodiments illustrate methods and systems for recommending one or more vehicles, commuting on a predefined route, for one or more requestors. The method includes determining a first additional distance traversable by each vehicle apart from the predefined route to accommodate each requestor. Further, a graph comprising a first set of nodes representing the one or more requestors, and a second set of nodes representing the one or more vehicles, is generated. Thereafter, a mapping between the first set of nodes and the second set of nodes is determined based on the first additional distance. The mapping corresponds to an allocation of a requestor to a vehicle such that an additional distance traversable by the vehicle is less than an additional distance traversable by remaining vehicles apart from the predefined route. Thereafter, the one or more vehicles are recommended for the one or more requestors based on the mapping.

Abstract: The disclosed embodiments illustrate methods and systems for scheduling one or more first vehicles along a route in a transportation system. The method includes determining one or more demands pertaining to a commutation along a route, where the route comprises at least one pair of stations such that there is a unique path between the pair of stations. The method further includes determining a set of constraints associated with the transportation system. The set of constraints are based on at least a count of second vehicles plying on one or more routes in the transportation system at a time instance, a capacity of a first vehicle, and a performance metric of the transportation system. Further, the method includes determining a count of first vehicles, for plying along the route at the time instance, based on at least the set of constraints.

Abstract: The disclosed embodiments illustrate methods and systems for predicting requirements of a user for resources. The method includes transforming a message posted by the user into a first message vector. The method further includes categorizing one or more first message vectors into one or more categories. The method further includes transforming each of the categorized first message vectors into one or more second message vectors using a wavelet transform technique. The method further includes determining, for each of the categorized first message vectors, a first score based on at least a probability distribution of one or more coefficients associated with each associated feature. The method further includes selecting a predefined number of features based on at least the first score. The method further includes training one or more classifiers on the selected predefined number of features to identify at least the one or more needs of the user.

Abstract: The disclosed embodiments illustrate methods and systems for scheduling one or more first vehicles along a route in a transportation system. The method includes determining one or more demands pertaining to a commutation along a route, where the route comprises at least one pair of stations such that there is a unique path between the pair of stations. The method further includes determining a set of constraints associated with the transportation system. The set of constraints are based on at least a count of second vehicles plying on one or more routes in the transportation system at a time instance, a capacity of a first vehicle, and a performance metric of the transportation system. Further, the method includes determining a count of first vehicles, for plying along the route at the time instance, based on at least the set of constraints.

Abstract: The disclosed embodiments illustrate methods and systems for determining an effect of a weather condition on a transportation network. The method includes receiving one or more parameters of the weather condition in a geographical area for a predetermined time-period. The method further includes determining a delay from a scheduled time of arrival of one or more vehicles, associated with the transportation network, at a location from one or more locations, in the transportation network, in the geographical area for the predetermined time-period. Thereafter, a sensitivity of the one or more locations to the weather condition of the geographical area is determined by correlating the delay with the one or more parameters of the weather condition. Further, the sensitivity of the one or more locations is displayed, through a user interface, as a first layer overlaid on a map of the geographical area.

Abstract: The disclosed embodiments illustrate methods and systems for recommending one or more vehicles, commuting on a predefined route, for one or more requestors. The method includes determining a first additional distance traversable by each vehicle apart from the predefined route to accommodate each requestor. Further, a graph comprising a first set of nodes representing the one or more requestors, and a second set of nodes representing the one or more vehicles, is generated. Thereafter, a mapping between the first set of nodes and the second set of nodes is determined based on the first additional distance. The mapping corresponds to an allocation of a requestor to a vehicle such that an additional distance traversable by the vehicle is less than an additional distance traversable by remaining vehicles apart from the predefined route. Thereafter, the one or more vehicles are recommended for the one or more requestors based on the mapping.