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Journey planner: History & Technology

A journey planner, trip planner, or route planner is a specialized search engine used to find an optimal means of travelling between two or more given locations, sometimes using more than one transport mode. Searches may be optimized on different criteria, for example fastest, shortest, fewest changes, cheapest. They may be constrained, for example, to…

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Journey planner topic overview

The analysis highlights History and Technology as prominent areas in the source structure around Journey planner.

Related topics
90
Source areas
5
Connected nodes
95
Extracted relationships
169
Concept neighborhoods
23
Bridge connections
95

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 35 topics
Technology · 23 topics
History · 18 topics
Mode-specific considerations · 10 topics
Data requirements · 4 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

History

Mode-specific considerations

Data requirements

Technology

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Journey planner connects Entity context

The extracted context around Journey planner shows recurring relationship patterns in the source. For example, Journey planner → Amsterdam University, Another, Atari PC, Dutch, Dutch Railways, Eduard Tulp, Finajour, Hans-Jakob Tobler, He, His, In, MS-DOS, Netherlands, Other European, PC DOS, PC's, Switzerland, The, This Another extracted example is Journey planner → Deutsche Bahn, German, Hacon, In, London, London Transport, OLTP, Routes, SBB, Siemens AG, Swiss Federal Railways, TfL, The, The HAFAs, These. Use these groups to spot repeated connection types before inspecting the individual relationships.

Journey planner

Top relations

related to Second-generation systems · 19
Journey planner → Amsterdam University, Another, Atari PC, Dutch, Dutch Railways, Eduard Tulp, Finajour, Hans-Jakob Tobler, He, His, In, MS-DOS, Netherlands, Other European, PC DOS, PC's, Switzerland, The, This
related to First-generation systems · 15
Journey planner → Deutsche Bahn, German, Hacon, In, London, London Transport, OLTP, Routes, SBB, Siemens AG, Swiss Federal Railways, TfL, The, The HAFAs, These
related to Technology · 12
Journey planner → Computational, Database, Delfi Protocol, GTFS, Journey, JourneyWeb, NaPTAN, Real-world, The, Transmodel, TransXChange, Typically
related to Algorithms · 10
Journey planner → Different, Dijkstra's, Floyd, In, Johnson's, Journey, RAPTOR, Routing, Warshall, When
related to Car routing · 5
Journey planner → Park, Ride, Some, The, Typical
related to Public transport routing · 4
Journey planner → An, Many, The, Time
related to Pedestrian routing · 1
Journey planner → This

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

trip transport planning data planners planner journey public may route used information time use different network example etc travel also

Journey planner relationships Subject–Predicate–Object triples

TTTA extracted 169 structured relationships around Journey planner. Examples in this analysis include cycling → instance of → which is typically thought of as using private modes of transportation and Transmodel → instance of → In European Standards. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
cyclinginstance ofwhich is typically thought of as using private modes of transportation0.80text
drivinginstance ofwhich is typically thought of as using private modes of transportation0.80text
or walkinginstance ofwhich is typically thought of as using private modes of transportation0.80text
normally using a single mode at a timeinstance ofwhich is typically thought of as using private modes of transportation0.80text
Transmodelinstance ofIn European Standards0.80text
trip planning is used specifically to describe the planning of a route for a passengerinstance ofIn European Standards0.80text
to avoid confusion with the completely separate process of planning the operational journeys to be made by public transport vehicles on which such trips are made.Trip planners have been widely used in the travel industry since the 1970sinstance ofIn European Standards0.80text
by booking agentsinstance ofIn European Standards0.80text
mobile devicesinstance ofOther European countries soon followed with their own journey planners.A further development of this trend was to deploy trip planners onto even smaller platforms0.80text
a Windows CE version of Hafas was launched in 1998 compressing the applicationinstance ofOther European countries soon followed with their own journey planners.A further development of this trend was to deploy trip planners onto even smaller platforms0.80text
the entire railway timetable of Deutsche Bahn into six megabytesinstance ofOther European countries soon followed with their own journey planners.A further development of this trend was to deploy trip planners onto even smaller platforms0.80text
running as a stand-alone application.Early internet-based systemsThe development of the internet allowed HTML based user interfaces to be added to allow direct querying of trip planning systems by the general publicinstance ofOther European countries soon followed with their own journey planners.A further development of this trend was to deploy trip planners onto even smaller platforms0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Journey planner bring nearby vocabulary together. In this analysis, examples include Trip, Planner and Planning. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Journey planner
    • Trip
    • Planner
    • Planning
    • Transport
    • Use
    • Using
    • Rail
    • Network
    • Services
    • Planners
    • Information
    • Road
  • journey planner
    • Trip
    • Planner
    • Transport
    • Planning
    • Use
    • Using
    • Rail
    • Information
    • Network
    • Services
    • Planners
    • Road
  • transport mode
    • Public
    • Network
    • Planners
    • Used
    • Trip
    • Services
    • National
    • Information
    • Planning
    • Data
    • Times
    • Stop
  • modes of transport
    • Public
    • Network
    • Planners
    • Used
    • Trip
    • Services
    • National
    • Information
    • Planning
    • Data
    • Times
    • Stop
  • public transport
    • Public
    • Transport
    • Services
    • Network
    • Planners
    • Times
    • Used
    • Data
    • Trip
    • National
    • Information
    • Route
  • transport networks
    • Public
    • Network
    • Planners
    • Used
    • Trip
    • Services
    • National
    • Information
    • Planning
    • Data
    • Times
    • Stop
  • geospatial data
    • Trip
    • Public
    • Planning
    • National
    • Planners
    • Transport
    • Road
    • Also
    • Use
    • Different
    • Many
    • Used
  • information technologies
    • Planner
    • Journey
    • Public
    • Developed
    • Transport
    • Planners
    • Use
    • Trip
    • Operators
    • Timetable
    • Typically
    • Transit

Connections between topic areas Semantic bridges

For Journey planner, one of the stronger structural bridges in this analysis connects Journey planner with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Journey planner — Overview · splits 60 ⟂ 36
Journey planner — Technology · splits 72 ⟂ 24
Journey planner — History · splits 77 ⟂ 19
Journey planner — Mode-specific considerations · splits 85 ⟂ 11
Journey planner — Data requirements · splits 91 ⟂ 5

Map overview Semantic statistics

Journey planner

Nodes96
Edges95
Triples169
Avg. degree1.98
Density0.020833
Components1

Source & methodology

TTTA analyzes the structure around Journey planner to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Journey planner · EN edition · Analysis: TopicsToTalkAbout

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