Low Level Function
4.1.6 Predict Vehicle Timings
Overview
This Function shall be capable of providing the following facilities:
(1) The ability to provide predictions of PT vehicle and fleet parameters (e.g. arrival time of a PT vehicle at a given point), for any required time horizon.
(2) The ability for these predictions to be based on the knowledge of the current situation and historical data.
(3) The ability for predicted information about PT vehicles to be delivered to other functionality from which it can be output directly to the Traveller and Passengers
(4) The ability for predicted information about PT vehicles to be delivered to other functionality for use in managing the use of Bus Lanes.
Functional Requirements
(a) collect real time and historical PT vehicle data from the stores of Historical PT Vehicle Data and Real Time PT Vehicle Status Data
(b) collect additional information about environmental conditions if available
(c) calculate predictions of the arrival times for PT vehicles for several future time horizons
(d) send results from (c) to the functionality that provides outputs to the PT operators, travellers, and passengers.
Diagrams
Parent Higher Level Function
Input logical dataflows
Output logical dataflows
User needs
Number | Description |
| The system shall be able to provide information about a PT service to the travellers before and during the journey. |
| The system shall be able to provide an update of arrival/departure information in real-time and present it to travellers of that mode before and during the journey. |
| The system shall be able to provide in-vehicle general (dynamic) PT information, as well as the arrival time at, and name of, the next stop for this vehicle. |
| The system shall be able to provide general (dynamic) PT information, personal safety information, as well as the arrival times of next vehicles, delays, etc. at mode interchanges, e.g. bus stops, in metro, railway or bus stations. |
| The system shall be able to exchange traffic and travel information between adjacent TICs to enhance local information. |