Struct sim::analytics::Analytics[−][src]

pub struct Analytics {
    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, BusRouteID, BusStopID)>,
    pub passengers_boarding: BTreeMap<BusStopID, Vec<(Time, BusRouteID, Duration)>>,
    pub passengers_alighting: BTreeMap<BusStopID, Vec<(Time, BusRouteID)>>,
    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,
}

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, BusRouteID, BusStopID)>passengers_boarding: BTreeMap<BusStopID, Vec<(Time, BusRouteID, Duration)>>

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

passengers_alighting: BTreeMap<BusStopID, Vec<(Time, BusRouteID)>>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.

Implementations

`impl Analytics`[src]

`pub fn new(record_anything: bool) -> Analytics`[src]

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

`pub fn record_demand(&mut self, path: &Path, map: &Map)`[src]

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

Ignores the current time. Returns None for cancelled trips.

`pub fn both_finished_trips( &self, now: Time, before: &Analytics ) -> Vec<(TripID, Duration, Duration, TripMode)>`[src]

Returns pairs of trip times for finished trips in both worlds. (ID, before, after, mode)

`pub fn get_trip_phases(&self, trip: TripID, map: &Map) -> Vec<TripPhase>`[src]

If calling on prebaked Analytics, be careful to pass in an unedited map, to match how the simulation was originally run. Otherwise the paths may be nonsense.

`pub fn get_all_trip_phases(&self) -> BTreeMap<TripID, Vec<TripPhase>>`[src]

`pub fn active_agents(&self, now: Time) -> Vec<(Time, usize)>`[src]

`pub fn parking_lane_availability( &self, now: Time, l: LaneID, capacity: usize ) -> Vec<(Time, usize)>`[src]

Returns the free spots over time

`pub fn parking_lot_availability( &self, now: Time, pl: ParkingLotID, capacity: usize ) -> Vec<(Time, usize)>`[src]

`fn parking_spot_availability( now: Time, changes: &[(Time, bool)], capacity: usize ) -> Vec<(Time, usize)>`[src]

Trait Implementations

`impl Clone for Analytics`[src]

`fn clone(&self) -> Analytics`[src]

`pub fn clone_from(&mut self, source: &Self)`1.0.0[src]

`impl Default for Analytics`[src]

`fn default() -> Analytics`[src]

`impl<'de> Deserialize<'de> for Analytics`[src]

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

`impl Serialize for Analytics`[src]

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

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,` [src]

`pub fn type_id(&self) -> TypeId`[src]

`impl<T> Borrow<T> for T where T: ?Sized,` [src]

`pub fn borrow(&self) -> &T`[src]

`impl<T> BorrowMut<T> for T where T: ?Sized,` [src]

`pub fn borrow_mut(&mut self) -> &mut T`[src]

`impl<T> DeserializeOwned for T where T: for<'de> Deserialize<'de>,` [src]

`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 + 'static + Send + Sync>`

`impl<T> From<T> for T`[src]

`pub fn from(t: T) -> T`[src]

`impl<T> Instrument for T`[src]

`pub fn instrument(self, span: Span) -> Instrumented<Self>`[src]

`pub fn in_current_span(self) -> Instrumented<Self>`[src]

`impl<T, U> Into for T where U: From<T>,` [src]

`pub fn into(self) -> U`[src]

`impl<T> Same<T> for T`

`type Output = T`

Should always be Self

`impl<T> ToOwned for T where T: Clone,` [src]

`type Owned = T`

The resulting type after obtaining ownership.

`pub fn to_owned(&self) -> T`[src]

`pub fn clone_into(&self, target: &mut T)`[src]

`impl<T, U> TryFrom for T where U: Into<T>,` [src]

`type Error = Infallible`

The type returned in the event of a conversion error.

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

`impl<T, U> TryInto for T where U: TryFrom<T>,` [src]

`type Error = >::Error`

The type returned in the event of a conversion error.

Struct sim::analytics::Analytics[−][src]

Fields

Implementations

impl Analytics[src]

pub fn new(record_anything: bool) -> Analytics[src]

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

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

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

pub fn both_finished_trips( &self, now: Time, before: &Analytics) -> Vec<(TripID, Duration, Duration, TripMode)>[src]

pub fn get_trip_phases(&self, trip: TripID, map: &Map) -> Vec<TripPhase>[src]

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

pub fn active_agents(&self, now: Time) -> Vec<(Time, usize)>[src]

pub fn parking_lane_availability( &self, now: Time, l: LaneID, capacity: usize) -> Vec<(Time, usize)>[src]

pub fn parking_lot_availability( &self, now: Time, pl: ParkingLotID, capacity: usize) -> Vec<(Time, usize)>[src]

fn parking_spot_availability( now: Time, changes: &[(Time, bool)], capacity: usize) -> Vec<(Time, usize)>[src]

Trait Implementations

impl Clone for Analytics[src]

fn clone(&self) -> Analytics[src]

pub fn clone_from(&mut self, source: &Self)1.0.0[src]

impl Default for Analytics[src]

fn default() -> Analytics[src]

impl<'de> Deserialize<'de> for Analytics[src]

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

impl Serialize for Analytics[src]

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

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, [src]

pub fn type_id(&self) -> TypeId[src]

impl<T> Borrow<T> for T where T: ?Sized, [src]

pub fn borrow(&self) -> &T[src]

impl<T> BorrowMut<T> for T where T: ?Sized, [src]

pub fn borrow_mut(&mut self) -> &mut T[src]

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

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 + 'static + Send + Sync>

impl<T> From<T> for T[src]

pub fn from(t: T) -> T[src]

impl<T> Instrument for T[src]

pub fn instrument(self, span: Span) -> Instrumented<Self>[src]

pub fn in_current_span(self) -> Instrumented<Self>[src]

impl<T, U> Into<U> for T where U: From<T>, [src]

pub fn into(self) -> U[src]

impl<T> Same<T> for T

type Output = T

impl<T> ToOwned for T where T: Clone, [src]

type Owned = T

pub fn to_owned(&self) -> T[src]

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

impl<T, U> TryFrom<U> for T where U: Into<T>, [src]

type Error = Infallible

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

impl<T, U> TryInto<U> for T where U: TryFrom<T>, [src]

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

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

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

pub fn vzip(self) -> V