**Evolution of Trip Planners:**
– Journey planners have been used since the 1970s, evolving with the growth of the internet and geospatial data.
– First-generation systems were developed by national railway operators and transit authorities in the late 1980s.
– Second-generation systems emerged in the 1990s with the advent of personal computers and digital trip planners.
– Early internet-based systems introduced HTML interfaces for online trip planning.
– Distributed journey planners in the 2000s marked a new era in trip planning technology.
**Technological Advancements in Trip Planning:**
– Development of trip planning architectures like JourneyWeb protocol and distributed trip planning architecture.
– Introduction of real-time data integration and disruption notices in trip planning engines.
– Incorporation of the SIRI Protocol Framework and Transmodel reference model in trip planners.
– Use of routing algorithms such as Dijkstra’s, A*, and RAPTOR for efficient journey planning.
– Automated trip planners generate itineraries based on user-provided information, enhancing user experience.
**Data and Information Integration in Trip Planning:**
– Trip planners rely on various data types and sources, including road data, public transport data, and contextual data.
– Integration of Gazetteer data assists in indicating the relationship of transport interchanges with towns and urban centers.
– Real-time prediction information for public transport enhances route selection and travel planning accuracy.
– Incorporation of situation information in trip planners helps in revising computations based on incidents or events affecting the transport network.
**Public Transport Routing and Optimization:**
– Public transport trip planners support intermodal journeys and optimization criteria like fastest route, fewest changes, and price optimization.
– Long-distance rail and air trip planners suggest cheapest travel dates for flexible customers.
– Data requirements for trip planners include public transport schedules, access points, stop data sets, and timetable exchange formats.
– Fare prices sorting and filtering options are available in trip planners for enhanced user experience.
**Custom and Open Data Standards in Trip Planning:**
– Users can create travel itineraries individually using custom trip planners or pre-built databases of points of interest.
– Open data standards like GTFS and NeTEx facilitate data exchange between trip planners and ensure consistency in public transportation schedules.
– Google Trips and other mobility as a service platforms offer customized trip planning solutions with bookings and payments integrated into mobile apps.
