Struct sim::analytics::Analytics

source · [−]

pub struct Analytics {Show 16 fields
    pub road_thruput: TimeSeriesCount<RoadID>,
    pub intersection_thruput: TimeSeriesCount<IntersectionID>,
    pub traffic_signal_thruput: TimeSeriesCount<CompressedMovementID>,
    pub demand: BTreeMap<MovementID, usize>,
    pub bus_arrivals: Vec<(Time, CarID, TransitRouteID, TransitStopID)>,
    pub passengers_boarding: BTreeMap<TransitStopID, Vec<(Time, TransitRouteID, Duration)>>,
    pub passengers_alighting: BTreeMap<TransitStopID, Vec<(Time, TransitRouteID)>>,
    pub started_trips: BTreeMap<TripID, Time>,
    pub finished_trips: Vec<(Time, TripID, TripMode, Option<Duration>)>,
    pub problems_per_trip: BTreeMap<TripID, Vec<(Time, Problem)>>,
    pub trip_log: Vec<(Time, TripID, Option<PathRequest>, TripPhaseType)>,
    pub intersection_delays: BTreeMap<IntersectionID, Vec<(u8, Time, Duration, AgentType)>>,
    pub parking_lane_changes: BTreeMap<LaneID, Vec<(Time, bool)>>,
    pub parking_lot_changes: BTreeMap<ParkingLotID, Vec<(Time, bool)>>,
    pub(crate) alerts: Vec<(Time, AlertLocation, String)>,
    record_anything: bool,
}

Expand description

As a simulation runs, different pieces emit Events. The Analytics object listens to these, organizing and storing some information from them. The UI queries Analytics to draw time-series and display statistics.

For all maps whose weekday scenario fully runs, the game’s release includes some “prebaked results.” These are just serialized Analytics after running the simulation on a map without any edits for the full day. This is the basis of A/B testing – the player can edit the map, start running the simulation, and compare the live Analytics to the prebaked baseline Analytics.

Fields

road_thruput: TimeSeriesCount<RoadID>intersection_thruput: TimeSeriesCount<IntersectionID>traffic_signal_thruput: TimeSeriesCount<CompressedMovementID>demand: BTreeMap<MovementID, usize>

Most fields in Analytics are cumulative over time, but this is just for the current moment in time.

bus_arrivals: Vec<(Time, CarID, TransitRouteID, TransitStopID)>passengers_boarding: BTreeMap<TransitStopID, Vec<(Time, TransitRouteID, Duration)>>

For each passenger boarding, how long did they wait at the stop?

passengers_alighting: BTreeMap<TransitStopID, Vec<(Time, TransitRouteID)>>started_trips: BTreeMap<TripID, Time>finished_trips: Vec<(Time, TripID, TripMode, Option<Duration>)>

Finish time, ID, mode, trip duration if successful (or None if cancelled)

problems_per_trip: BTreeMap<TripID, Vec<(Time, Problem)>>

Record different problems that each trip encounters.

trip_log: Vec<(Time, TripID, Option<PathRequest>, TripPhaseType)>intersection_delays: BTreeMap<IntersectionID, Vec<(u8, Time, Duration, AgentType)>>

Only for traffic signals. The u8 is the movement index from a CompressedMovementID.

parking_lane_changes: BTreeMap<LaneID, Vec<(Time, bool)>>

Per parking lane or lot, when does a spot become filled (true) or free (false)

parking_lot_changes: BTreeMap<ParkingLotID, Vec<(Time, bool)>>alerts: Vec<(Time, AlertLocation, String)>record_anything: bool

For benchmarking, we may want to disable collecting data.

Struct sim::analytics::Analytics

Fields

Implementations

impl Analytics

pub fn new(record_anything: bool) -> Analytics

pub fn event(&mut self, ev: Event, time: Time, map: &Map)

pub fn record_demand(&mut self, path: &Path, map: &Map)

pub fn finished_trip_time(&self, trip: TripID) -> Option<Duration>

pub fn both_finished_trips( &self, now: Time, before: &Analytics) -> Vec<(TripID, Duration, Duration, TripMode)>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A> where A: Allocator,

pub fn get_trip_phases(&self, trip: TripID, map: &Map) -> Vec<TripPhase>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A> where A: Allocator,

pub fn get_all_trip_phases(&self) -> BTreeMap<TripID, Vec<TripPhase>>

pub fn active_agents(&self, now: Time) -> Vec<(Time, usize)>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A> where A: Allocator,

pub fn parking_lane_availability( &self, now: Time, l: LaneID, capacity: usize) -> Vec<(Time, usize)>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A> where A: Allocator,

pub fn parking_lot_availability( &self, now: Time, pl: ParkingLotID, capacity: usize) -> Vec<(Time, usize)>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A> where A: Allocator,

fn parking_spot_availability( now: Time, changes: &[(Time, bool)], capacity: usize) -> Vec<(Time, usize)>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A> where A: Allocator,

pub fn problems_per_intersection( &self, now: Time, id: IntersectionID) -> Vec<(ProblemType, Vec<(Time, usize)>)>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A> where A: Allocator,

pub fn problems_per_lane( &self, now: Time, id: LaneID) -> Vec<(ProblemType, Vec<(Time, usize)>)>ⓘNotable traits for Vec<u8, A>impl<A> Write for Vec<u8, A> where A: Allocator,

Trait Implementations

impl Clone for Analytics

fn clone(&self) -> Analytics

fn clone_from(&mut self, source: &Self)

impl Default for Analytics

fn default() -> Analytics

impl<'de> Deserialize<'de> for Analytics

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where __D: Deserializer<'de>,

impl Serialize for Analytics

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error> where __S: Serializer,

Auto Trait Implementations

impl RefUnwindSafe for Analytics

impl Send for Analytics

impl Sync for Analytics

impl Unpin for Analytics

impl UnwindSafe for Analytics

Blanket Implementations

impl<T> Any for T where T: 'static + ?Sized,

pub fn type_id(&self) -> TypeId

impl<T> Borrow<T> for T where T: ?Sized,

pub fn borrow(&self) -> &T

impl<T> BorrowMut<T> for T where T: ?Sized,

pub fn borrow_mut(&mut self) -> &mut T

impl<T> Downcast for T where T: Any,

pub fn into_any(self: Box<T, Global>) -> Box<dyn Any + 'static, Global>

pub fn into_any_rc(self: Rc<T>) -> Rc<dyn Any + 'static>

pub fn as_any(&self) -> &(dyn Any + 'static)

pub fn as_any_mut(&mut self) -> &mut (dyn Any + 'static)

impl<T> DowncastSync for T where T: Any + Send + Sync,

pub fn into_any_arc(self: Arc<T>) -> Arc<dyn Any + Send + Sync + 'static>

impl<T> From<T> for T

pub fn from(t: T) -> T

impl<T> Instrument for T

fn instrument(self, span: Span) -> Instrumented<Self>

fn in_current_span(self) -> Instrumented<Self>

impl<T, U> Into<U> for T where U: From<T>,

pub fn into(self) -> U

impl<T> Same<T> for T

type Output = T

impl<T> ToOwned for T where T: Clone,

type Owned = T

pub fn to_owned(&self) -> T

pub fn clone_into(&self, target: &mut T)

impl<T, U> TryFrom<U> for T where U: Into<T>,

type Error = Infallible

pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>

impl<T, U> TryInto<U> for T where U: TryFrom<T>,

type Error = <U as TryFrom<T>>::Error

pub fn try_into(self) -> Result<U, <U as TryFrom<T>>::Error>

impl<V, T> VZip<V> for T where V: MultiLane<T>,

pub fn vzip(self) -> V

impl<T> DeserializeOwned for T where T: for<'de> Deserialize<'de>,

pub fn both_finished_trips(
&self,
now: Time,
before: &Analytics
) -> Vec<(TripID, Duration, Duration, TripMode )>ⓘNotable traits for Vec<u8, A>`impl<A> Write for Vec<u8, A> where A: Allocator,`

pub fn get_trip_phases(&self, trip: TripID, map: &Map) -> Vec<TripPhase>ⓘNotable traits for Vec<u8, A>`impl<A> Write for Vec<u8, A> where A: Allocator,`

pub fn active_agents(&self, now: Time) -> Vec<(Time, usize )>ⓘNotable traits for Vec<u8, A>`impl<A> Write for Vec<u8, A> where A: Allocator,`

pub fn parking_lane_availability(
&self,
now: Time,
l: LaneID,
capacity: usize
) -> Vec<(Time, usize )>ⓘNotable traits for Vec<u8, A>`impl<A> Write for Vec<u8, A> where A: Allocator,`

pub fn parking_lot_availability(
&self,
now: Time,
pl: ParkingLotID,
capacity: usize
) -> Vec<(Time, usize )>ⓘNotable traits for Vec<u8, A>`impl<A> Write for Vec<u8, A> where A: Allocator,`

fn parking_spot_availability(
now: Time,
changes: &[(Time, bool )],
capacity: usize
) -> Vec<(Time, usize )>ⓘNotable traits for Vec<u8, A>`impl<A> Write for Vec<u8, A> where A: Allocator,`

pub fn problems_per_intersection(
&self,
now: Time,
id: IntersectionID
) -> Vec<(ProblemType, Vec<(Time, usize )>)>ⓘNotable traits for Vec<u8, A>`impl<A> Write for Vec<u8, A> where A: Allocator,`

pub fn problems_per_lane(
&self,
now: Time,
id: LaneID
) -> Vec<(ProblemType, Vec<(Time, usize )>)>ⓘNotable traits for Vec<u8, A>`impl<A> Write for Vec<u8, A> where A: Allocator,`

fn deserialize<D>(deserializer: D) -> Result<Self, D::Error> where
__D: Deserializer<'de>,

fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error> where
S: Serializer,

impl<T> Any for T where
T: 'static + ?Sized,

impl<T> Borrow<T> for T where
T: ?Sized,

impl<T> BorrowMut<T> for T where
T: ?Sized,

impl<T> Downcast for T where
T: Any,

impl<T> DowncastSync for T where
T: Any + Send + Sync,

impl<T, U> Into<U> for T where
U: From<T>,

impl<T> ToOwned for T where
T: Clone,

impl<T, U> TryFrom<U> for T where
U: Into<T>,

impl<T, U> TryInto<U> for T where
U: TryFrom<T>,

impl<V, T> VZip<V> for T where
V: MultiLane<T>,

impl<T> DeserializeOwned for T where
T: for<'de> Deserialize<'de>,