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//! Implementation of the Spiess-Florian algorithm for transit assignment.
//! See the ref. at spiess_floarian.tex LaTeX file.
use std::collections::{HashMap, HashSet};
use std::sync::atomic::{AtomicBool, Ordering};
use crate::hyperpath_queue::PriorityQueue;
use crate::transit_network::Link;
/// Strategy is the optimal strategy as defined in the Spiess-Florian algorithm.
pub struct Strategy<'a> {
/// u_{i} - expected travel time from node i to destination
pub labels: HashMap<String, f64>,
/// f_{i} - combined frequency of attractive links at node i.
/// `f64::INFINITY` marks a node whose basket is a single no-wait link.
pub freqs: HashMap<String, f64>,
/// \overline{A} - attractive links forming the hyperpath
pub a_set: Vec<&'a Link>,
}
/// The waiting-time constant of the Spiess-Florian expected travel time:
/// u_i = (1 + sum(f_a * (c_a + u_j))) / f_i
/// When the first attractive link arrives at a node the sum is empty and
/// the numerator starts from this constant.
pub(crate) const ALPHA: f64 = 1.0;
pub static VERBOSE: AtomicBool = AtomicBool::new(false);
pub(crate) fn verbose() -> bool {
VERBOSE.load(Ordering::Relaxed)
}
pub fn find_optimal_strategy<'a>(
all_links: &'a [Link],
all_stops: &HashSet<String>,
destination: &str,
) -> Strategy<'a> {
/* 1.1 Initialization */
if verbose() {
println!("1.1 Initialization \\\\");
}
let mut u: HashMap<String, f64> = HashMap::with_capacity(all_stops.len());
let mut f: HashMap<String, f64> = HashMap::with_capacity(all_stops.len());
for stop in all_stops {
if verbose() {
println!("$f_{{{}}} = 0$ \\\\ ", stop);
}
f.insert(stop.clone(), 0.0);
if stop == destination {
if verbose() {
println!("$u_{{{}}} = 0$ \\\\ ", destination);
}
u.insert(stop.clone(), 0.0);
continue;
}
if verbose() {
println!("$u_{{{}}} = Infinity$ \\\\ ", stop);
}
u.insert(stop.clone(), f64::INFINITY);
}
let mut overline_a: Vec<Option<&'a Link>> = Vec::with_capacity(all_links.len() / 2);
// Positions of each node's basket links inside overline_a, so that a
// no-wait link can replace the whole basket. Replaced entries are set
// to None and compacted at the end.
let mut a_set_idx: HashMap<&'a str, Vec<usize>> = HashMap::new();
let mut links_by_to_node: HashMap<&'a str, Vec<&'a Link>> = HashMap::new();
for link in all_links {
links_by_to_node
.entry(link.to_node.as_str())
.or_default()
.push(link);
}
let mut entries: HashMap<&'a str, Vec<usize>> = HashMap::with_capacity(all_links.len());
let mut pq = PriorityQueue::with_capacity(all_links.len());
for link in all_links {
let priority = u.get(&link.to_node).copied().unwrap_or(0.0) + link.travel_cost;
let id = pq.push(link, priority);
entries
.entry(link.from_node.as_str())
.or_default()
.push(id);
}
pq.init();
if verbose() {
pq.print();
}
while pq.len() > 0 {
/* 1.2 Get next link */
if verbose() {
pq.print();
}
let entry_id = match pq.pop() {
Some(id) => id,
None => break,
};
let priority = pq.priority(entry_id);
if priority.is_infinite() && priority > 0.0 {
break;
}
let a = pq.link(entry_id);
let i = a.from_node.as_str();
let j = a.to_node.as_str();
let sum_uc = u.get(j).copied().unwrap_or(0.0) + a.travel_cost;
/* 1.3 Update node label */
if verbose() {
println!("Process: $a = (i, j) = ({}, {})$, \\\\ ", i, j);
}
// A node already served by a no-wait link is final: the no-wait
// link absorbs all flow (its share f_a/f_i is 1 in the limit),
// so no other link may enter the basket
let f_i = f.get(i).copied().unwrap_or(0.0);
if f_i.is_infinite() {
continue;
}
let u_i = u.get(i).copied().unwrap_or(0.0);
if u_i < sum_uc {
continue;
}
if verbose() {
println!(
"\\quad $u_i < u_j + c_a : {} < {}$ - FALSE \\\\ ",
u_i, sum_uc
);
}
if a.headway <= 0.0 {
// No-wait link (infinite frequency): the modified step 1.3
// given by the paper on p. 96 - the exact limit of the label
// update formula as f_a -> inf. The link replaces the whole
// attractive basket:
// u_i := u_j + c_a, f_i := inf, A_i := {a}
u.insert(i.to_string(), sum_uc);
f.insert(i.to_string(), f64::INFINITY);
let indices = a_set_idx.entry(i).or_default();
for idx in indices.iter() {
overline_a[*idx] = None;
}
indices.clear();
overline_a.push(Some(a));
indices.push(overline_a.len() - 1);
if verbose() {
println!(
"\\quad no-wait link: $u_i = u_j + c_a = {}$, $f_i = \\infty$, basket replaced by $({}, {})$ \\\\ ",
sum_uc, i, j
);
}
} else {
let freq = 1.0 / a.headway;
if verbose() {
println!("\\quad $f_a = {}$ \\\\ ", freq);
println!("\\quad $u_j + c_a = {}$ \\\\ ", sum_uc);
println!("\\quad $u_i = {}$ \\\\ ", u_i);
}
let new_u = if f_i == 0.0 {
// First link in the basket: u_i = (1 + f_a*(u_j+c_a)) / f_a
(ALPHA + freq * sum_uc) / freq
} else {
(f_i * u_i + freq * sum_uc) / (f_i + freq)
};
u.insert(i.to_string(), new_u);
f.insert(i.to_string(), f_i + freq);
overline_a.push(Some(a));
a_set_idx.entry(i).or_default().push(overline_a.len() - 1);
if verbose() {
println!(
"\\quad$u_i = \\frac{{f_i * u_i + f_a * (u_j + c_a)}}{{f_i + f_a}} = {}$, $f_i = {}$ \\\\ ",
new_u,
f_i + freq
);
println!(
"\\quad $\\overline{{A}} = \\overline{{A}} \\cup {{({}, {})}}$ \\\\ ",
i, j
);
}
}
if let Some(links_to_update) = links_by_to_node.get(i) {
for link in links_to_update {
if let Some(i_entries) = entries.get(link.from_node.as_str()) {
for &eid in i_entries {
let entry_link = pq.link(eid);
if entry_link.to_node == i && entry_link.from_node == link.from_node {
let new_priority =
u.get(i).copied().unwrap_or(0.0) + link.travel_cost;
pq.update(eid, new_priority);
break;
}
}
}
}
}
if verbose() {
println!("Node labels: \\\\");
for s in all_stops {
println!(
"${} -> (u_i, f_i) = ({}, {})$ \\\\ ",
s,
u.get(s).copied().unwrap_or(0.0),
f.get(s).copied().unwrap_or(0.0)
);
}
}
}
// Compact the attractive set: drop entries replaced by no-wait links.
// The append order is preserved, i.e. non-decreasing u_j + c_a.
let a_set: Vec<&'a Link> = overline_a.into_iter().flatten().collect();
Strategy {
labels: u,
freqs: f,
a_set,
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_hyper_paths() {
VERBOSE.store(true, Ordering::Relaxed);
let all_nodes: HashSet<String> = ["A", "X", "X2", "Y", "Y3", "B"]
.iter()
.map(|s| s.to_string())
.collect();
let all_links = vec![
Link::new("A", "B", "Line 1", 25.0, 6.0),
Link::new("A", "X2", "Line 2", 7.0, 6.0),
Link::new("X2", "X", "Line 2", 0.0, 0.0),
Link::new("X", "X2", "Line 2", 0.0, 6.0),
Link::new("X2", "Y", "Line 2", 6.0, 0.0),
Link::new("Y3", "Y", "Line 3", 0.0, 15.0),
Link::new("Y", "B", "Line 4", 10.0, 3.0),
Link::new("X", "Y3", "Line 3", 4.0, 15.0),
Link::new("Y", "Y3", "Line 3", 0.0, 15.0),
Link::new("Y3", "B", "Line 3", 4.0, 0.0),
];
let destination_node = "B";
let ops = find_optimal_strategy(&all_links, &all_nodes, destination_node);
const EPS: f64 = 1e-9;
// With exact no-wait handling the labels match the paper exactly:
// no big-M artifacts like 4.000000000000001
let expected_labels: HashMap<&str, f64> = HashMap::from([
("A", 27.75),
("X", 19.071428571428573),
("X2", 17.5),
("Y", 11.5),
("Y3", 4.0),
("B", 0.0),
]);
// +Inf marks nodes whose basket is a single no-wait link
let expected_freqs: HashMap<&str, f64> = HashMap::from([
("A", 1.0 / 3.0),
("X", 7.0 / 30.0),
("X2", f64::INFINITY),
("Y", 0.4),
("Y3", f64::INFINITY),
("B", 0.0),
]);
// Matches the paper order (Spiess & Florian 1989, p. 93-94)
let expected_a_set: Vec<&Link> = vec![
// Y3->B
&all_links[9],
// Y->Y3
&all_links[8],
// X->Y3
&all_links[7],
// Y->B
&all_links[6],
// X2->Y
&all_links[4],
// X->X2
&all_links[3],
// A->X2
&all_links[1],
// A->B
&all_links[0],
];
assert_eq!(
ops.labels.len(),
expected_labels.len(),
"Incorrect number of labels"
);
assert_eq!(
ops.freqs.len(),
expected_freqs.len(),
"Incorrect number of frequencies"
);
assert_eq!(
ops.a_set.len(),
expected_a_set.len(),
"Incorrect number of links in attractive set"
);
for (k, v) in &ops.labels {
assert!(
expected_labels.contains_key(k.as_str()),
"Incorrect label key {} has met",
k
);
let want = expected_labels[k.as_str()];
assert!(
(v - want).abs() <= EPS,
"Incorrect label value for node {}: got {}, want {}",
k,
v,
want
);
}
for (k, v) in &ops.freqs {
assert!(
expected_freqs.contains_key(k.as_str()),
"Incorrect frequency key {} has met",
k
);
let want = expected_freqs[k.as_str()];
if want.is_infinite() {
assert!(
v.is_infinite() && *v > 0.0,
"Frequency for node {} must be +Inf, got {}",
k,
v
);
} else {
assert!(
(v - want).abs() <= EPS,
"Incorrect frequency value for node {}: got {}, want {}",
k,
v,
want
);
}
}
for (i, v) in ops.a_set.iter().enumerate() {
println!("{:?} {:?}", v, expected_a_set[i]);
assert!(
std::ptr::eq(*v, expected_a_set[i]),
"Incorrect link in attractive set at index {}",
i
);
}
}
#[test]
fn test_no_wait_replaces_basket() {
// A boarding link enters the basket of I first (key 4), then a
// cheaper no-wait chain I->W->D (key 5 < current u_I = 10) must
// replace it entirely: exact label, infinite frequency, single link.
let all_nodes: HashSet<String> =
["I", "W", "D"].iter().map(|s| s.to_string()).collect();
let all_links = vec![
// boarding link, key u_D + 4 = 4, accepted first: u_I = 6 + 4 = 10
Link::new("I", "D", "Bus", 4.0, 6.0),
// no-wait walk, key u_W + 3 = 5, replaces the basket: u_I = 5
Link::new("I", "W", "Walk", 3.0, 0.0),
// no-wait walk, key 2
Link::new("W", "D", "Walk", 2.0, 0.0),
];
let ops = find_optimal_strategy(&all_links, &all_nodes, "D");
assert!((ops.labels["I"] - 5.0).abs() <= 1e-12);
assert!((ops.labels["W"] - 2.0).abs() <= 1e-12);
assert!(ops.freqs["I"].is_infinite());
assert!(ops.freqs["W"].is_infinite());
// The replaced boarding link I->D must not remain attractive
assert_eq!(
ops.a_set.len(),
2,
"basket of I must hold only the no-wait link"
);
for link in &ops.a_set {
assert_eq!(
link.headway, 0.0,
"only no-wait links expected in the attractive set"
);
}
}
}