UNPKG

minotor

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A lightweight client-side transit routing library.

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import { StopId } from '../stops/stops.js'; import { Time } from '../timetable/time.js'; import type { IRaptorState } from './raptor.js'; import { RoutingEdge, RoutingState } from './state.js'; /** * RAPTOR state for Range RAPTOR mode, implementing {@link IRaptorState}. * * Holds both the cross-run shared labels (carried over from one departure-time * iteration to the next, latest → earliest) and a reference to the current * per-iteration {@link RoutingState} (swapped via {@link setCurrentRun}). * * Concretely, `roundLabels[k][p]` is the best known arrival at stop `p` using * at most `k` transit legs, across **all departure times tried so far**. * * @see https://www.microsoft.com/en-us/research/wp-content/uploads/2012/01/raptor_alenex.pdf */ export declare class RangeRaptorState implements IRaptorState { /** * `roundLabels[k]` is a flat `Uint16Array` of size `nbStops`. * `roundLabels[k][p]` = best arrival time (minutes from midnight) at stop `p` * in round `k`, across all departure-time iterations processed so far. * Pre-filled with `UNREACHED_TIME`; updated in-place as better arrivals are found. */ readonly roundLabels: Uint16Array[]; /** * The latest departure time of the range query. */ readonly latestDeparture: Time; /** * Global best arrival at any destination stop across all runs and rounds. * Used for destination-pruning inside scan methods so that routes that cannot * beat the already-known best are skipped early. */ private _destinationBest; /** * Sparse change-tracking for `initRound`. * * `changedInRound[k]` is the list of stops whose round-k label was improved * (via `tryImprove`) since the last call to `initRound(k + 1)`. When * `initRound(k + 1)` runs, it only visits these stops instead of scanning * all `nbStops` entries, reducing the work from O(nbStops × rounds × * departureTimes) to O(changedStops × rounds × departureTimes). * * Duplicates are allowed and harmless — a stop that appears twice merely * receives a redundant (no-op) min-update on the second visit. The list is * cleared inside `initRound` immediately after processing. */ private readonly changedInRound; private currentRun; constructor(maxRounds: number, nbStops: number, latestDeparture: Time); /** * Swaps in a fresh {@link RoutingState} for the next departure-time iteration * and seeds the shared round-0 labels from its access arrivals. * * Must be called before every `runRaptor` invocation. */ setCurrentRun(routingState: RoutingState): void; get origins(): StopId[]; get graph(): (RoutingEdge | undefined)[][]; arrivalTime(stop: StopId): Time; /** * Uses the cross-run shared label for `round`, which is always at least as * tight as the per-run arrival and therefore provides stronger pruning. */ improvementBound(round: number, stop: StopId): Time; /** * Global best arrival at any destination across all departure-time iterations. * Always at least as tight as the per-run `destinationBest`. */ get destinationBest(): Time; get maxArrivalTime(): Time; isDestination(stop: StopId): boolean; /** Updates the per-run aggregate best when improved, and always considers the cross-run shared label. */ updateArrival(stop: StopId, time: Time, round: number): void; /** * initialized round `k` from round `k-1`: τk(p) ← min(τk(p), τk-1(p)). * * Must be called at the very start of each RAPTOR round before routes are * scanned. After this call, `roundLabels[k][p]` is the minimum arrival at * stop `p` achievable with **at most** k transit legs from any departure time * tried so far — which is exactly the tightest valid pruning bound for round k. */ initRound(round: number): void; }