SYSTEMS AND METHODS FOR INTELLIGENT, DEMAND-RESPONSIVE TRANSIT RECOMMENDATIONS

摘要

Techniques and systems are described that enable the intelligent recommendation and presentation of demand-responsive transit services. Implementations can analyze current user activities with respect to historically-based user transit behaviors in order to determine the user's imminent transit demands. Prior-scheduled transit options meeting the imminent demand are searched, and filtering parameters including user preferences and demand-responsive transit provider constraints are retrieved. Embodiments further retrieve possible demand-responsive transit options for meeting the demand from a demand-responsive transit system scheduling/information service. Embodiments consolidate and analyze these diverse sources to identify a set of preferred transit alternatives for available transit options that meet the filtering parameters. Implementations are described that integrate with an existing transit application present on a user device (e.g., a mobile device). Certain embodiments may include capabilities for surfacing an enhanced transit options view that shows an identified imminent transit demand and a selection of preferred transit alternatives.