/// <summary>
/// Estimates traffic delay from the collection of travel times
/// </summary>
/// <param name="travelTimes"></param>
/// <param name="model"></param>
void EstimateTrafficDelay(IEnumerable<TravelTime> travelTimes, Model model)
{
List<TravelTimeDelay> delays = new List<TravelTimeDelay>();
foreach (var traveltime in travelTimes) {
double delay = 0;
if (model.TrafficSignalsDelay.Probability > 0 && traveltime.Stops.Count > 0)
delay = traveltime.TotalTravelTime.TotalSeconds - model.FreeFlowTravelTime - traveltime.Stops.Last().Length.TotalSeconds;
else
delay = traveltime.TotalTravelTime.TotalSeconds - model.FreeFlowTravelTime;
delay = Math.Max(0, delay);
delays.Add(new TravelTimeDelay() { TravelTime = traveltime, Delay = delay });
}
// avg delay as median of delays
delays.Sort(new Comparison<TravelTimeDelay>((TravelTimeDelay td1, TravelTimeDelay td2) => td1.Delay.CompareTo(td2.Delay)));
model.AvgDelay = delays[delays.Count / 2].Delay;
TrafficDelayMap delaysMap = new TrafficDelayMap(Properties.Settings.Default.ModelResolution, model.FreeFlowTravelTime);
List<List<TravelTimeDelay>> travelTimeClusters = null;
DBScan<TravelTimeDelay> clusterAnalyzer = new DBScan<TravelTimeDelay>(new DBScan<TravelTimeDelay>.FindNeighbours(FindNeighbours));
for (int i = _parameters.Length -1; i >= 0; i--) {
_parametersIndex = i;
int desiredClusterSize = (int)Math.Max(Properties.Settings.Default.MinimalClusterSize, travelTimes.Count() * Properties.Settings.Default.ClusterSizePercentage / 100.0);
int clusterSize = Math.Min(travelTimes.Count(), desiredClusterSize);
travelTimeClusters = clusterAnalyzer.ClusterAnalysis(delays, clusterSize);
foreach (var cluster in travelTimeClusters) {
TrafficDelayInfo delayInfo = new TrafficDelayInfo();
if (_parameters[_parametersIndex].Dates == DatesHandling.Any)
delayInfo.AppliesTo = DayOfWeek.Any;
else if (_parameters[_parametersIndex].Dates == DatesHandling.WeekendWorkdays)
delayInfo.AppliesTo = (DayOfWeek.Workday & DayOfWeekHelper.FromDate(cluster[0].TravelTime.TimeStart)) > 0 ? DayOfWeek.Workday : DayOfWeek.Weekend;
else
delayInfo.AppliesTo = DayOfWeekHelper.FromDate(cluster[0].TravelTime.TimeStart);
cluster.Sort(new Comparison<TravelTimeDelay>((TravelTimeDelay td1, TravelTimeDelay td2) => td1.Delay.CompareTo(td2.Delay)));
delayInfo.Delay = cluster.Sum(tt => tt.Delay) / cluster.Count;
delayInfo.From = cluster.Min(tt => tt.TravelTime.TimeStart.TimeOfDay).Subtract(new TimeSpan(0, _parameters[_parametersIndex].MembersTimeDifference / 2, 0));
if (delayInfo.From < new TimeSpan(0))
delayInfo.From = new TimeSpan(0);
delayInfo.To = cluster.Max(tt => tt.TravelTime.TimeEnd.TimeOfDay).Add(new TimeSpan(0, _parameters[_parametersIndex].MembersTimeDifference / 2, 0));
if (delayInfo.To > new TimeSpan(23, 59, 59)) {
delayInfo.To = new TimeSpan(23, 59, 59);
}
delaysMap.AddDelay(delayInfo.From, delayInfo.To, delayInfo.AppliesTo, delayInfo.Delay);
}
if (travelTimeClusters.Sum(cluster => cluster.Count) > Properties.Settings.Default.ClusterAnalysisStopPercentage * delays.Count / 100)
break;
}
model.TrafficDelay.AddRange(delaysMap.GetDelays());
}
/// <summary>
/// Estimates traffic delay from the collection of travel times
/// </summary>
/// <param name="travelTimes"></param>
/// <param name="model"></param>
void EstimateTrafficDelay(IEnumerable <TravelTime> travelTimes, Model model)
{
List <TravelTimeDelay> delays = new List <TravelTimeDelay>();
foreach (var traveltime in travelTimes)
{
double delay = 0;
if (model.TrafficSignalsDelay.Probability > 0 && traveltime.Stops.Count > 0)
{
delay = traveltime.TotalTravelTime.TotalSeconds - model.FreeFlowTravelTime - traveltime.Stops.Last().Length.TotalSeconds;
}
else
{
delay = traveltime.TotalTravelTime.TotalSeconds - model.FreeFlowTravelTime;
}
delay = Math.Max(0, delay);
delays.Add(new TravelTimeDelay()
{
TravelTime = traveltime, Delay = delay
});
}
// avg delay as median of delays
delays.Sort(new Comparison <TravelTimeDelay>((TravelTimeDelay td1, TravelTimeDelay td2) => td1.Delay.CompareTo(td2.Delay)));
model.AvgDelay = delays[delays.Count / 2].Delay;
TrafficDelayMap delaysMap = new TrafficDelayMap(Properties.Settings.Default.ModelResolution, model.FreeFlowTravelTime);
List <List <TravelTimeDelay> > travelTimeClusters = null;
DBScan <TravelTimeDelay> clusterAnalyzer = new DBScan <TravelTimeDelay>(new DBScan <TravelTimeDelay> .FindNeighbours(FindNeighbours));
for (int i = _parameters.Length - 1; i >= 0; i--)
{
_parametersIndex = i;
int desiredClusterSize = (int)Math.Max(Properties.Settings.Default.MinimalClusterSize, travelTimes.Count() * Properties.Settings.Default.ClusterSizePercentage / 100.0);
int clusterSize = Math.Min(travelTimes.Count(), desiredClusterSize);
travelTimeClusters = clusterAnalyzer.ClusterAnalysis(delays, clusterSize);
foreach (var cluster in travelTimeClusters)
{
TrafficDelayInfo delayInfo = new TrafficDelayInfo();
if (_parameters[_parametersIndex].Dates == DatesHandling.Any)
{
delayInfo.AppliesTo = DayOfWeek.Any;
}
else if (_parameters[_parametersIndex].Dates == DatesHandling.WeekendWorkdays)
{
delayInfo.AppliesTo = (DayOfWeek.Workday & DayOfWeekHelper.FromDate(cluster[0].TravelTime.TimeStart)) > 0 ? DayOfWeek.Workday : DayOfWeek.Weekend;
}
else
{
delayInfo.AppliesTo = DayOfWeekHelper.FromDate(cluster[0].TravelTime.TimeStart);
}
cluster.Sort(new Comparison <TravelTimeDelay>((TravelTimeDelay td1, TravelTimeDelay td2) => td1.Delay.CompareTo(td2.Delay)));
delayInfo.Delay = cluster.Sum(tt => tt.Delay) / cluster.Count;
delayInfo.From = cluster.Min(tt => tt.TravelTime.TimeStart.TimeOfDay).Subtract(new TimeSpan(0, _parameters[_parametersIndex].MembersTimeDifference / 2, 0));
if (delayInfo.From < new TimeSpan(0))
{
delayInfo.From = new TimeSpan(0);
}
delayInfo.To = cluster.Max(tt => tt.TravelTime.TimeEnd.TimeOfDay).Add(new TimeSpan(0, _parameters[_parametersIndex].MembersTimeDifference / 2, 0));
if (delayInfo.To > new TimeSpan(23, 59, 59))
{
delayInfo.To = new TimeSpan(23, 59, 59);
}
delaysMap.AddDelay(delayInfo.From, delayInfo.To, delayInfo.AppliesTo, delayInfo.Delay);
}
if (travelTimeClusters.Sum(cluster => cluster.Count) > Properties.Settings.Default.ClusterAnalysisStopPercentage * delays.Count / 100)
{
break;
}
}
model.TrafficDelay.AddRange(delaysMap.GetDelays());
}
