#[cfg(test)]
#[path = "../../../tests/unit/models/problem/costs_test.rs"]
mod costs_test;
use crate::models::common::*;
use crate::models::solution::{Activity, Route};
use hashbrown::HashMap;
use rosomaxa::prelude::GenericError;
use rosomaxa::utils::CollectGroupBy;
use std::sync::Arc;
#[derive(Copy, Clone)]
pub enum TravelTime {
Arrival(Timestamp),
Departure(Timestamp),
}
pub trait ActivityCost {
fn cost(&self, route: &Route, activity: &Activity, arrival: Timestamp) -> Cost {
let actor = route.actor.as_ref();
let waiting = if activity.place.time.start > arrival { activity.place.time.start - arrival } else { 0. };
let service = activity.place.duration;
waiting * (actor.driver.costs.per_waiting_time + actor.vehicle.costs.per_waiting_time)
+ service * (actor.driver.costs.per_service_time + actor.vehicle.costs.per_service_time)
}
fn estimate_departure(&self, route: &Route, activity: &Activity, arrival: Timestamp) -> Timestamp;
fn estimate_arrival(&self, route: &Route, activity: &Activity, departure: Timestamp) -> Timestamp;
}
#[derive(Default)]
pub struct SimpleActivityCost {}
impl ActivityCost for SimpleActivityCost {
fn estimate_departure(&self, _: &Route, activity: &Activity, arrival: Timestamp) -> Timestamp {
arrival.max(activity.place.time.start) + activity.place.duration
}
fn estimate_arrival(&self, _: &Route, activity: &Activity, departure: Timestamp) -> Timestamp {
activity.place.time.end.min(departure - activity.place.duration)
}
}
pub trait TransportCost {
fn cost(&self, route: &Route, from: Location, to: Location, travel_time: TravelTime) -> Cost {
let actor = route.actor.as_ref();
let distance = self.distance(route, from, to, travel_time);
let duration = self.duration(route, from, to, travel_time);
distance * (actor.driver.costs.per_distance + actor.vehicle.costs.per_distance)
+ duration * (actor.driver.costs.per_driving_time + actor.vehicle.costs.per_driving_time)
}
fn duration_approx(&self, profile: &Profile, from: Location, to: Location) -> Duration;
fn distance_approx(&self, profile: &Profile, from: Location, to: Location) -> Distance;
fn duration(&self, route: &Route, from: Location, to: Location, travel_time: TravelTime) -> Duration;
fn distance(&self, route: &Route, from: Location, to: Location, travel_time: TravelTime) -> Distance;
}
pub struct MatrixData {
pub index: usize,
pub timestamp: Option<Timestamp>,
pub durations: Vec<Duration>,
pub distances: Vec<Distance>,
}
impl MatrixData {
pub fn new(index: usize, timestamp: Option<Timestamp>, durations: Vec<Duration>, distances: Vec<Distance>) -> Self {
Self { index, timestamp, durations, distances }
}
}
pub trait TransportFallback: Send + Sync {
fn duration(&self, profile: &Profile, from: Location, to: Location) -> Duration;
fn distance(&self, profile: &Profile, from: Location, to: Location) -> Distance;
}
struct NoFallback;
impl TransportFallback for NoFallback {
fn duration(&self, profile: &Profile, from: Location, to: Location) -> Duration {
panic!("cannot get duration for {from}->{to} for {profile:?}")
}
fn distance(&self, profile: &Profile, from: Location, to: Location) -> Distance {
panic!("cannot get distance for {from}->{to} for {profile:?}")
}
}
pub fn create_matrix_transport_cost(
costs: Vec<MatrixData>,
) -> Result<Arc<dyn TransportCost + Send + Sync>, GenericError> {
create_matrix_transport_cost_with_fallback(costs, NoFallback)
}
pub fn create_matrix_transport_cost_with_fallback<T: TransportFallback + 'static>(
costs: Vec<MatrixData>,
fallback: T,
) -> Result<Arc<dyn TransportCost + Send + Sync>, GenericError> {
if costs.is_empty() {
return Err("no matrix data found".into());
}
let size = (costs.first().unwrap().durations.len() as f64).sqrt().round() as usize;
if costs.iter().any(|matrix| matrix.distances.len() != matrix.durations.len()) {
return Err("distance and duration collections have different length".into());
}
if costs.iter().any(|matrix| (matrix.distances.len() as f64).sqrt().round() as usize != size) {
return Err("distance lengths don't match".into());
}
if costs.iter().any(|matrix| (matrix.durations.len() as f64).sqrt().round() as usize != size) {
return Err("duration lengths don't match".into());
}
Ok(if costs.iter().any(|costs| costs.timestamp.is_some()) {
Arc::new(TimeAwareMatrixTransportCost::new(costs, size, fallback)?)
} else {
Arc::new(TimeAgnosticMatrixTransportCost::new(costs, size, fallback)?)
})
}
struct TimeAgnosticMatrixTransportCost<T: TransportFallback> {
durations: Vec<Vec<Duration>>,
distances: Vec<Vec<Distance>>,
size: usize,
fallback: T,
}
impl<T: TransportFallback> TimeAgnosticMatrixTransportCost<T> {
pub fn new(costs: Vec<MatrixData>, size: usize, fallback: T) -> Result<Self, GenericError> {
let mut costs = costs;
costs.sort_by(|a, b| a.index.cmp(&b.index));
if costs.iter().any(|costs| costs.timestamp.is_some()) {
return Err("time aware routing".into());
}
if (0..).zip(costs.iter().map(|c| &c.index)).any(|(a, &b)| a != b) {
return Err("duplicate profiles can be passed only for time aware routing".into());
}
let (durations, distances) = costs.into_iter().fold((vec![], vec![]), |mut acc, data| {
acc.0.push(data.durations);
acc.1.push(data.distances);
acc
});
Ok(Self { durations, distances, size, fallback })
}
}
impl<T: TransportFallback> TransportCost for TimeAgnosticMatrixTransportCost<T> {
fn duration_approx(&self, profile: &Profile, from: Location, to: Location) -> Duration {
self.durations
.get(profile.index)
.unwrap()
.get(from * self.size + to)
.copied()
.unwrap_or_else(|| self.fallback.duration(profile, from, to))
* profile.scale
}
fn distance_approx(&self, profile: &Profile, from: Location, to: Location) -> Distance {
self.distances
.get(profile.index)
.unwrap()
.get(from * self.size + to)
.copied()
.unwrap_or_else(|| self.fallback.distance(profile, from, to))
}
fn duration(&self, route: &Route, from: Location, to: Location, _: TravelTime) -> Duration {
self.duration_approx(&route.actor.vehicle.profile, from, to)
}
fn distance(&self, route: &Route, from: Location, to: Location, _: TravelTime) -> Distance {
self.distance_approx(&route.actor.vehicle.profile, from, to)
}
}
struct TimeAwareMatrixTransportCost<T: TransportFallback> {
costs: HashMap<usize, (Vec<u64>, Vec<MatrixData>)>,
size: usize,
fallback: T,
}
impl<T: TransportFallback> TimeAwareMatrixTransportCost<T> {
fn new(costs: Vec<MatrixData>, size: usize, fallback: T) -> Result<Self, GenericError> {
if costs.iter().any(|matrix| matrix.timestamp.is_none()) {
return Err("time-aware routing requires all matrices to have timestamp".into());
}
let costs = costs.into_iter().collect_group_by_key(|matrix| matrix.index);
if costs.iter().any(|(_, matrices)| matrices.len() == 1) {
return Err("should not use time aware matrix routing with single matrix".into());
}
let costs = costs
.into_iter()
.map(|(profile, mut matrices)| {
matrices.sort_by(|a, b| (a.timestamp.unwrap() as u64).cmp(&(b.timestamp.unwrap() as u64)));
let timestamps = matrices.iter().map(|matrix| matrix.timestamp.unwrap() as u64).collect();
(profile, (timestamps, matrices))
})
.collect();
Ok(Self { costs, size, fallback })
}
fn interpolate_duration(
&self,
profile: &Profile,
from: Location,
to: Location,
travel_time: TravelTime,
) -> Duration {
let timestamp = match travel_time {
TravelTime::Arrival(arrival) => arrival,
TravelTime::Departure(departure) => departure,
};
let (timestamps, matrices) = self.costs.get(&profile.index).unwrap();
let data_idx = from * self.size + to;
let duration = match timestamps.binary_search(&(timestamp as u64)) {
Ok(matrix_idx) => matrices.get(matrix_idx).unwrap().durations.get(data_idx).copied(),
Err(matrix_idx) if matrix_idx == 0 => matrices.first().unwrap().durations.get(data_idx).copied(),
Err(matrix_idx) if matrix_idx == matrices.len() => {
matrices.last().unwrap().durations.get(data_idx).copied()
}
Err(matrix_idx) => {
let left_matrix = matrices.get(matrix_idx - 1).unwrap();
let right_matrix = matrices.get(matrix_idx).unwrap();
matrices
.get(matrix_idx - 1)
.unwrap()
.durations
.get(data_idx)
.zip(matrices.get(matrix_idx).unwrap().durations.get(data_idx))
.map(|(&left_value, &right_value)| {
let ratio = (timestamp - left_matrix.timestamp.unwrap())
/ (right_matrix.timestamp.unwrap() - left_matrix.timestamp.unwrap());
left_value + ratio * (right_value - left_value)
})
}
}
.unwrap_or_else(|| self.fallback.duration(profile, from, to));
duration * profile.scale
}
fn interpolate_distance(
&self,
profile: &Profile,
from: Location,
to: Location,
travel_time: TravelTime,
) -> Distance {
let timestamp = match travel_time {
TravelTime::Arrival(arrival) => arrival,
TravelTime::Departure(departure) => departure,
};
let (timestamps, matrices) = self.costs.get(&profile.index).unwrap();
let data_idx = from * self.size + to;
match timestamps.binary_search(&(timestamp as u64)) {
Ok(matrix_idx) => matrices.get(matrix_idx).unwrap().distances.get(data_idx),
Err(matrix_idx) if matrix_idx == 0 => matrices.first().unwrap().distances.get(data_idx),
Err(matrix_idx) if matrix_idx == matrices.len() => matrices.last().unwrap().distances.get(data_idx),
Err(matrix_idx) => matrices.get(matrix_idx - 1).unwrap().distances.get(data_idx),
}
.copied()
.unwrap_or_else(|| self.fallback.distance(profile, from, to))
}
}
impl<T: TransportFallback> TransportCost for TimeAwareMatrixTransportCost<T> {
fn duration_approx(&self, profile: &Profile, from: Location, to: Location) -> Duration {
self.interpolate_duration(profile, from, to, TravelTime::Departure(0.))
}
fn distance_approx(&self, profile: &Profile, from: Location, to: Location) -> Distance {
self.interpolate_distance(profile, from, to, TravelTime::Departure(0.))
}
fn duration(&self, route: &Route, from: Location, to: Location, travel_time: TravelTime) -> Duration {
self.interpolate_duration(&route.actor.vehicle.profile, from, to, travel_time)
}
fn distance(&self, route: &Route, from: Location, to: Location, travel_time: TravelTime) -> Distance {
self.interpolate_distance(&route.actor.vehicle.profile, from, to, travel_time)
}
}