Line data Source code
1 : /****************************************************************************/
2 : // Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.dev/sumo
3 : // Copyright (C) 2004-2026 German Aerospace Center (DLR) and others.
4 : // This program and the accompanying materials are made available under the
5 : // terms of the Eclipse Public License 2.0 which is available at
6 : // https://www.eclipse.org/legal/epl-2.0/
7 : // This Source Code may also be made available under the following Secondary
8 : // Licenses when the conditions for such availability set forth in the Eclipse
9 : // Public License 2.0 are satisfied: GNU General Public License, version 2
10 : // or later which is available at
11 : // https://www.gnu.org/licenses/old-licenses/gpl-2.0-standalone.html
12 : // SPDX-License-Identifier: EPL-2.0 OR GPL-2.0-or-later
13 : /****************************************************************************/
14 : /// @file MSMeanData_Net.cpp
15 : /// @author Daniel Krajzewicz
16 : /// @author Michael Behrisch
17 : /// @author Jakob Erdmann
18 : /// @date Mon, 10.05.2004
19 : ///
20 : // Network state mean data collector for edges/lanes
21 : /****************************************************************************/
22 : #include <config.h>
23 :
24 : #ifdef HAVE_FOX
25 : #include <utils/common/ScopedLocker.h>
26 : #endif
27 : #include <utils/common/SUMOTime.h>
28 : #include <utils/common/ToString.h>
29 : #include <utils/iodevices/OutputDevice.h>
30 : #include <microsim/MSEdgeControl.h>
31 : #include <microsim/MSEdge.h>
32 : #include <microsim/MSLane.h>
33 : #include <microsim/MSVehicle.h>
34 : #include <microsim/MSGlobals.h>
35 : #include <mesosim/MELoop.h>
36 : #include <mesosim/MESegment.h>
37 : #include "MSMeanData_Net.h"
38 :
39 :
40 : // ===========================================================================
41 : // debug constants
42 : // ===========================================================================
43 : //#define DEBUG_OCCUPANCY
44 : //#define DEBUG_OCCUPANCY2
45 : //#define DEBUG_NOTIFY_ENTER
46 : //#define DEBUG_COND (veh.getLane()->getID() == "")
47 : //#define DEBUG_COND (false)
48 : //#define DEBUG_COND2 (veh.getEdge()->getID() == "")
49 :
50 :
51 : // ===========================================================================
52 : // method definitions
53 : // ===========================================================================
54 : // ---------------------------------------------------------------------------
55 : // MSMeanData_Net::MSLaneMeanDataValues - methods
56 : // ---------------------------------------------------------------------------
57 8324585 : MSMeanData_Net::MSLaneMeanDataValues::MSLaneMeanDataValues(MSLane* const lane,
58 : const double length,
59 : const bool doAdd,
60 8324585 : const MSMeanData_Net* parent)
61 : : MSMeanData::MeanDataValues(lane, length, doAdd, parent),
62 8324585 : nVehDeparted(0), nVehArrived(0), nVehEntered(0), nVehLeft(0),
63 8324585 : nVehVaporized(0), nVehTeleported(0), waitSeconds(0), timeLoss(0),
64 8324585 : nVehLaneChangeFrom(0), nVehLaneChangeTo(0),
65 8324585 : frontSampleSeconds(0), frontTravelledDistance(0),
66 8324585 : vehLengthSum(0), occupationSum(0),
67 8324585 : minimalVehicleLength(INVALID_DOUBLE),
68 8324585 : myParent(parent) {}
69 :
70 :
71 16645538 : MSMeanData_Net::MSLaneMeanDataValues::~MSLaneMeanDataValues() {
72 16645538 : }
73 :
74 :
75 : void
76 16946522 : MSMeanData_Net::MSLaneMeanDataValues::reset(bool) {
77 16946522 : nVehDeparted = 0;
78 16946522 : nVehArrived = 0;
79 16946522 : nVehEntered = 0;
80 16946522 : nVehLeft = 0;
81 16946522 : nVehVaporized = 0;
82 16946522 : nVehTeleported = 0;
83 16946522 : nVehLaneChangeFrom = 0;
84 16946522 : nVehLaneChangeTo = 0;
85 16946522 : sampleSeconds = 0.;
86 16946522 : travelledDistance = 0;
87 16946522 : waitSeconds = 0;
88 16946522 : timeLoss = 0;
89 16946522 : frontSampleSeconds = 0;
90 16946522 : frontTravelledDistance = 0;
91 16946522 : vehLengthSum = 0;
92 16946522 : occupationSum = 0;
93 16946522 : minimalVehicleLength = INVALID_DOUBLE;
94 16946522 : resetTime = SIMSTEP;
95 16946522 : }
96 :
97 :
98 : void
99 8656874 : MSMeanData_Net::MSLaneMeanDataValues::addTo(MSMeanData::MeanDataValues& val) const {
100 : MSLaneMeanDataValues& v = (MSLaneMeanDataValues&) val;
101 8656874 : v.nVehDeparted += nVehDeparted;
102 8656874 : v.nVehArrived += nVehArrived;
103 8656874 : v.nVehEntered += nVehEntered;
104 8656874 : v.nVehLeft += nVehLeft;
105 8656874 : v.nVehVaporized += nVehVaporized;
106 8656874 : v.nVehTeleported += nVehTeleported;
107 8656874 : v.nVehLaneChangeFrom += nVehLaneChangeFrom;
108 8656874 : v.nVehLaneChangeTo += nVehLaneChangeTo;
109 8656874 : v.sampleSeconds += sampleSeconds;
110 8656874 : v.travelledDistance += travelledDistance;
111 8656874 : v.waitSeconds += waitSeconds;
112 8656874 : v.timeLoss += timeLoss;
113 8656874 : v.frontSampleSeconds += frontSampleSeconds;
114 8656874 : v.frontTravelledDistance += frontTravelledDistance;
115 8656874 : v.vehLengthSum += vehLengthSum;
116 8656874 : v.occupationSum += occupationSum;
117 8656874 : if (v.minimalVehicleLength == INVALID_DOUBLE) {
118 8564795 : v.minimalVehicleLength = minimalVehicleLength;
119 : } else {
120 177816 : v.minimalVehicleLength = MIN2(minimalVehicleLength, v.minimalVehicleLength);
121 : }
122 8656874 : }
123 :
124 :
125 : void
126 410521635 : MSMeanData_Net::MSLaneMeanDataValues::notifyMoveInternal(
127 : const SUMOTrafficObject& veh, const double frontOnLane,
128 : const double timeOnLane, const double /* meanSpeedFrontOnLane */,
129 : const double meanSpeedVehicleOnLane,
130 : const double travelledDistanceFrontOnLane,
131 : const double travelledDistanceVehicleOnLane,
132 : const double meanLengthOnLane) {
133 : #ifdef DEBUG_OCCUPANCY
134 : if (DEBUG_COND2) {
135 : std::cout << SIMTIME << "\n MSMeanData_Net::MSLaneMeanDataValues::notifyMoveInternal()\n"
136 : << " veh '" << veh.getID() << "' on edge '" << veh.getEdge()->getID() << "'"
137 : << ", timeOnLane=" << timeOnLane
138 : << ", meanSpeedVehicleOnLane=" << meanSpeedVehicleOnLane
139 : << ",\ntravelledDistanceFrontOnLane=" << travelledDistanceFrontOnLane
140 : << ", travelledDistanceVehicleOnLane=" << travelledDistanceVehicleOnLane
141 : << ", meanLengthOnLane=" << meanLengthOnLane
142 : << std::endl;
143 : }
144 : #endif
145 410521635 : if (myParent != nullptr && !myParent->vehicleApplies(veh)) {
146 : return;
147 : }
148 410479315 : sampleSeconds += timeOnLane;
149 410479315 : travelledDistance += travelledDistanceVehicleOnLane;
150 410479315 : vehLengthSum += veh.getVehicleType().getLength() * timeOnLane;
151 410479315 : if (MSGlobals::gUseMesoSim) {
152 : // For the mesosim case no information on whether the vehicle was occupying
153 : // the lane with its whole length is available. We assume the whole length
154 : // Therefore this increment is taken out with more information on the vehicle movement.
155 10353565 : occupationSum += veh.getVehicleType().getLength() * timeOnLane;
156 : } else {
157 : // for the microsim case more elaborate calculation of the average length on the lane,
158 : // is taken out in notifyMove(), refs #153
159 400125750 : occupationSum += meanLengthOnLane * TS;
160 : }
161 410479315 : if (!veh.isStopped()) {
162 394431933 : if (myParent != nullptr && (meanSpeedVehicleOnLane < myParent->myHaltSpeed
163 338225512 : || (myParent->myHaltSpeedRel > 0 && meanSpeedVehicleOnLane / veh.getCurrentEdge()->getSpeedLimit(veh.getVClass()) < myParent->myHaltSpeedRel))) {
164 56149579 : waitSeconds += timeOnLane;
165 338282354 : } else if (MSGlobals::gUseMesoSim) {
166 10303436 : waitSeconds += STEPS2TIME(veh.getWaitingTime());
167 : }
168 394431933 : const double vmax = veh.getLane() == nullptr ? veh.getEdge()->getVehicleMaxSpeed(&veh) : veh.getLane()->getVehicleMaxSpeed(&veh);
169 394431933 : if (vmax > 0) {
170 787081015 : timeLoss += timeOnLane * MAX2(0.0, vmax - meanSpeedVehicleOnLane) / vmax;
171 : }
172 : }
173 410479315 : frontSampleSeconds += frontOnLane;
174 410479315 : frontTravelledDistance += travelledDistanceFrontOnLane;
175 410479315 : if (minimalVehicleLength == INVALID_DOUBLE) {
176 695249 : minimalVehicleLength = veh.getVehicleType().getLengthWithGap();
177 : } else {
178 818159928 : minimalVehicleLength = MIN2(minimalVehicleLength, veh.getVehicleType().getLengthWithGap());
179 : }
180 : #ifdef DEBUG_OCCUPANCY2
181 : // refs #3265
182 : std::cout << SIMTIME << "ID: " << getDescription() << " minVehicleLength=" << minimalVehicleLength << std::endl;
183 : #endif
184 : }
185 :
186 :
187 : bool
188 27362461 : MSMeanData_Net::MSLaneMeanDataValues::notifyLeave(SUMOTrafficObject& veh, double /*lastPos*/, MSMoveReminder::Notification reason, const MSLane* /* enteredLane */) {
189 27362461 : if ((myParent == nullptr || myParent->vehicleApplies(veh)) && (
190 18223608 : getLane() == nullptr || !veh.isVehicle() || getLane() == static_cast<MSVehicle&>(veh).getLane())) {
191 : #ifdef HAVE_FOX
192 22972009 : ScopedLocker<> lock(myNotificationMutex, MSGlobals::gNumSimThreads > 1);
193 : #endif
194 22972009 : if (MSGlobals::gUseMesoSim) {
195 9138691 : removeFromVehicleUpdateValues(veh);
196 : }
197 22972009 : if (reason == MSMoveReminder::NOTIFICATION_ARRIVED) {
198 2981552 : ++nVehArrived;
199 19990457 : } else if (reason == MSMoveReminder::NOTIFICATION_LANE_CHANGE) {
200 130311 : ++nVehLaneChangeFrom;
201 19860146 : } else if (myParent == nullptr || reason != MSMoveReminder::NOTIFICATION_SEGMENT) {
202 11967818 : ++nVehLeft;
203 11967818 : if (reason == MSMoveReminder::NOTIFICATION_TELEPORT || reason == MSMoveReminder::NOTIFICATION_TELEPORT_ARRIVED) {
204 6597 : ++nVehTeleported;
205 11961221 : } else if (reason >= MSMoveReminder::NOTIFICATION_VAPORIZED_CALIBRATOR) {
206 70303 : ++nVehVaporized;
207 : }
208 : }
209 : }
210 27362461 : if (MSGlobals::gUseMesoSim) {
211 : return false;
212 : }
213 18214930 : return reason == MSMoveReminder::NOTIFICATION_JUNCTION;
214 : }
215 :
216 :
217 : bool
218 23996586 : MSMeanData_Net::MSLaneMeanDataValues::notifyEnter(SUMOTrafficObject& veh, MSMoveReminder::Notification reason, const MSLane* enteredLane) {
219 : #ifdef DEBUG_NOTIFY_ENTER
220 : std::cout << "\n" << SIMTIME << " MSMeanData_Net::MSLaneMeanDataValues: veh '" << veh.getID() << "' enters lane '" << enteredLane->getID() << "'" << std::endl;
221 : #else
222 : UNUSED_PARAMETER(enteredLane);
223 : #endif
224 23996586 : if (myParent == nullptr || myParent->vehicleApplies(veh)) {
225 23078685 : if (getLane() == nullptr || !veh.isVehicle() || getLane() == static_cast<MSVehicle&>(veh).getLane()) {
226 : #ifdef HAVE_FOX
227 23069845 : ScopedLocker<> lock(myNotificationMutex, MSGlobals::gNumSimThreads > 1);
228 : #endif
229 23069845 : if (reason == MSMoveReminder::NOTIFICATION_DEPARTED) {
230 3157008 : ++nVehDeparted;
231 19912837 : } else if (reason == MSMoveReminder::NOTIFICATION_LANE_CHANGE) {
232 129970 : ++nVehLaneChangeTo;
233 19782867 : } else if (myParent == nullptr || reason != MSMoveReminder::NOTIFICATION_SEGMENT) {
234 11920714 : ++nVehEntered;
235 : }
236 : }
237 23078685 : return true;
238 : }
239 : return false;
240 : }
241 :
242 :
243 : bool
244 22483689 : MSMeanData_Net::MSLaneMeanDataValues::isEmpty() const {
245 21824807 : return sampleSeconds == 0 && nVehDeparted == 0 && nVehArrived == 0 && nVehEntered == 0
246 44308048 : && nVehLeft == 0 && nVehVaporized == 0 && nVehTeleported == 0 && nVehLaneChangeFrom == 0 && nVehLaneChangeTo == 0;
247 : }
248 :
249 : double
250 960598 : MSMeanData_Net::MSLaneMeanDataValues::getOccupancy(SUMOTime period, int numLanes) const {
251 960598 : return occupationSum / STEPS2TIME(period) / myLaneLength / (double)numLanes * 100.;
252 : }
253 :
254 : void
255 960476 : MSMeanData_Net::MSLaneMeanDataValues::write(OutputDevice& dev, const SumoXMLAttrMask& attributeMask, const SUMOTime period,
256 : const int numLanes, const double speedLimit, const double defaultTravelTime, const int numVehicles) const {
257 :
258 960476 : double density = frontSampleSeconds / STEPS2TIME(period) * 1000. / myLaneLength;
259 960476 : double overlapDensity = sampleSeconds / STEPS2TIME(period) * 1000. / myLaneLength;
260 960476 : if (MSGlobals::gLateralResolution < 0) {
261 : // avoid exceeding upper bound
262 906606 : density = MIN2(density, 1000 * (double)numLanes / MAX2(minimalVehicleLength, NUMERICAL_EPS));
263 905395 : overlapDensity = MIN2(overlapDensity, 1000 * (double)numLanes / MAX2(minimalVehicleLength, NUMERICAL_EPS));
264 : }
265 960476 : const double laneDensity = density / (double)numLanes;
266 960476 : const double occupancy = getOccupancy(period, numLanes);
267 : #ifdef DEBUG_OCCUPANCY2
268 : // tests #3264
269 : if (occupancy > 100) {
270 : std::cout << SIMTIME << " Encountered bad occupancy: " << occupancy
271 : << ", myLaneLength=" << myLaneLength << ", period=" << STEPS2TIME(period) << ", occupationSum=" << occupationSum
272 : << std::endl;
273 : }
274 : // refs #3265
275 : std::cout << SIMTIME << "ID: " << getDescription() << " minVehicleLength=" << minimalVehicleLength
276 : << "\ndensity=" << density << "\n";
277 : #endif
278 :
279 960476 : if (myParent == nullptr) {
280 10065 : const double speed = sampleSeconds == 0 ? 0. : travelledDistance / sampleSeconds;
281 10065 : const double frontSpeed = frontSampleSeconds == 0 ? 0. : frontTravelledDistance / frontSampleSeconds;
282 10065 : dev.writeOptionalAttr(SUMO_ATTR_DENSITY, density, attributeMask, sampleSeconds == 0);
283 10065 : dev.writeOptionalAttr(SUMO_ATTR_LANEDENSITY, laneDensity, attributeMask, sampleSeconds == 0);
284 10065 : dev.writeOptionalAttr(SUMO_ATTR_OCCUPANCY, occupancy, attributeMask, sampleSeconds == 0);
285 10065 : dev.writeOptionalAttr(SUMO_ATTR_WAITINGTIME, waitSeconds, attributeMask, sampleSeconds == 0);
286 10065 : dev.writeOptionalAttr(SUMO_ATTR_TIMELOSS, timeLoss, attributeMask, sampleSeconds == 0);
287 10065 : dev.writeOptionalAttr(SUMO_ATTR_SPEED, speed, attributeMask, sampleSeconds == 0);
288 10065 : dev.writeOptionalAttr(SUMO_ATTR_SPEEDREL, speedLimit == 0. || sampleSeconds == 0 ? 0. : travelledDistance / sampleSeconds / speedLimit,
289 10065 : attributeMask, sampleSeconds == 0);
290 10065 : dev.writeOptionalAttr(SUMO_ATTR_DEPARTED, nVehDeparted, attributeMask);
291 10065 : dev.writeOptionalAttr(SUMO_ATTR_ARRIVED, nVehArrived, attributeMask);
292 10065 : dev.writeOptionalAttr(SUMO_ATTR_ENTERED, nVehEntered, attributeMask);
293 10065 : dev.writeOptionalAttr(SUMO_ATTR_LEFT, nVehLeft, attributeMask);
294 10065 : dev.writeOptionalAttr(SUMO_ATTR_VAPORIZED, nVehVaporized, attributeMask, nVehVaporized == 0);
295 10065 : dev.writeOptionalAttr(SUMO_ATTR_TELEPORTED, nVehTeleported, attributeMask, nVehTeleported == 0);
296 10065 : dev.writeOptionalAttr(SUMO_ATTR_FLOW, density * frontSpeed * 3.6, attributeMask, frontSampleSeconds == 0);
297 20130 : dev.closeTag();
298 : return;
299 : }
300 950411 : const bool haveSamples = sampleSeconds > myParent->myMinSamples;
301 950411 : const bool haveFrontSamples = frontSampleSeconds > myParent->myMinSamples;
302 950411 : const bool haveSamplesOrDefault = haveSamples || defaultTravelTime >= 0.;
303 : bool haveTravelTime = haveSamplesOrDefault;
304 950411 : double traveltime = myParent->myMaxTravelTime;
305 950411 : if (haveSamples) {
306 619650 : if (numVehicles > 0) {
307 241 : traveltime = sampleSeconds / numVehicles;
308 : } else {
309 : traveltime = myParent->myMaxTravelTime;
310 619409 : if (frontTravelledDistance > NUMERICAL_EPS) {
311 845932 : traveltime = MIN2(traveltime, myLaneLength * frontSampleSeconds / frontTravelledDistance);
312 196341 : } else if (defaultTravelTime >= 0.) {
313 0 : traveltime = defaultTravelTime;
314 : } else {
315 : haveTravelTime = false;
316 : }
317 : }
318 330761 : } else if (defaultTravelTime >= 0.) {
319 2638 : traveltime = defaultTravelTime;
320 : }
321 950411 : dev.writeOptionalAttr(SUMO_ATTR_TRAVELTIME, traveltime, attributeMask, !haveTravelTime);
322 950411 : double overlapTraveltime = myParent->myMaxTravelTime;
323 950411 : if (travelledDistance > 0.) {
324 : // one vehicle has to drive lane length + vehicle length before it has left the lane
325 : // thus we need to scale with an extended length, approximated by lane length + average vehicle length
326 850831 : overlapTraveltime = MIN2(overlapTraveltime, (myLaneLength + vehLengthSum / sampleSeconds) * sampleSeconds / travelledDistance);
327 : }
328 950411 : dev.writeOptionalAttr(SUMO_ATTR_OVERLAPTRAVELTIME, overlapTraveltime, attributeMask, !haveSamples || numVehicles > 0);
329 950411 : dev.writeOptionalAttr(SUMO_ATTR_DENSITY, density, attributeMask, !haveSamples || numVehicles > 0);
330 950411 : dev.writeOptionalAttr(SUMO_ATTR_OVERLAPDENSITY, overlapDensity, attributeMask, sampleSeconds == 0);
331 950411 : dev.writeOptionalAttr(SUMO_ATTR_LANEDENSITY, laneDensity, attributeMask, !haveSamples || numVehicles > 0);
332 950411 : dev.writeOptionalAttr(SUMO_ATTR_OCCUPANCY, occupancy, attributeMask, !haveSamples || numVehicles > 0);
333 950411 : dev.writeOptionalAttr(SUMO_ATTR_WAITINGTIME, waitSeconds, attributeMask, !haveSamples);
334 950411 : dev.writeOptionalAttr(SUMO_ATTR_TIMELOSS, timeLoss, attributeMask, !haveSamples);
335 950411 : double speed = 0.;
336 : double frontSpeed = 0.;
337 950411 : if (haveSamples) {
338 619650 : speed = travelledDistance / sampleSeconds;
339 330761 : } else if (defaultTravelTime > 0.) {
340 2638 : speed = myLaneLength / defaultTravelTime;
341 : }
342 950411 : if (haveFrontSamples) {
343 578977 : frontSpeed = frontTravelledDistance / frontSampleSeconds;
344 371434 : } else if (defaultTravelTime > 0.) {
345 2638 : frontSpeed = myLaneLength / defaultTravelTime;
346 : }
347 950411 : dev.writeOptionalAttr(SUMO_ATTR_SPEED, speed, attributeMask, !haveSamplesOrDefault);
348 950411 : dev.writeOptionalAttr(SUMO_ATTR_SPEEDREL, speedLimit == 0. ? 0. : speed / speedLimit, attributeMask, !haveSamplesOrDefault);
349 950411 : dev.writeOptionalAttr(SUMO_ATTR_DEPARTED, nVehDeparted, attributeMask);
350 950411 : dev.writeOptionalAttr(SUMO_ATTR_ARRIVED, nVehArrived, attributeMask);
351 950411 : dev.writeOptionalAttr(SUMO_ATTR_ENTERED, nVehEntered, attributeMask);
352 950411 : dev.writeOptionalAttr(SUMO_ATTR_LEFT, nVehLeft, attributeMask);
353 950411 : dev.writeOptionalAttr(SUMO_ATTR_LANECHANGEDFROM, nVehLaneChangeFrom, attributeMask);
354 950411 : dev.writeOptionalAttr(SUMO_ATTR_LANECHANGEDTO, nVehLaneChangeTo, attributeMask);
355 950411 : dev.writeOptionalAttr(SUMO_ATTR_VAPORIZED, nVehVaporized, attributeMask, nVehVaporized == 0);
356 950411 : dev.writeOptionalAttr(SUMO_ATTR_TELEPORTED, nVehTeleported, attributeMask, nVehTeleported == 0);
357 950411 : dev.writeOptionalAttr(SUMO_ATTR_FLOW, density * frontSpeed * 3.6, attributeMask, !haveSamples || numVehicles == 0);
358 1900822 : dev.closeTag();
359 : }
360 :
361 :
362 : double
363 0 : MSMeanData_Net::MSLaneMeanDataValues::getAttributeValue(SumoXMLAttr a,
364 : const SUMOTime period, const double numLanes, const double speedLimit) const {
365 : /// @todo: remove redundancy in derived values (density, laneDensity)
366 0 : switch (a) {
367 0 : case SUMO_ATTR_DENSITY:
368 0 : return MIN2(frontSampleSeconds / STEPS2TIME(period) * (double) 1000 / myLaneLength,
369 0 : 1000. * numLanes / MAX2(minimalVehicleLength, NUMERICAL_EPS));
370 0 : case SUMO_ATTR_LANEDENSITY: {
371 0 : const double density = MIN2(frontSampleSeconds / STEPS2TIME(period) * (double) 1000 / myLaneLength,
372 0 : 1000. * numLanes / MAX2(minimalVehicleLength, NUMERICAL_EPS));
373 0 : return density / numLanes;
374 : }
375 0 : case SUMO_ATTR_OVERLAPDENSITY: {
376 0 : const double overlapDensity = MIN2(sampleSeconds / STEPS2TIME(period) * (double) 1000 / myLaneLength,
377 0 : 1000. * numLanes / MAX2(minimalVehicleLength, NUMERICAL_EPS));
378 0 : return overlapDensity / numLanes;
379 : }
380 0 : case SUMO_ATTR_OCCUPANCY:
381 0 : return occupationSum / STEPS2TIME(period) / myLaneLength / numLanes * (double) 1000;
382 0 : case SUMO_ATTR_WAITINGTIME:
383 0 : return waitSeconds;
384 0 : case SUMO_ATTR_TIMELOSS:
385 0 : return timeLoss;
386 0 : case SUMO_ATTR_SPEED:
387 0 : return travelledDistance / sampleSeconds;
388 0 : case SUMO_ATTR_SPEEDREL:
389 0 : return speedLimit == 0. ? 0. : travelledDistance / sampleSeconds / speedLimit;
390 0 : case SUMO_ATTR_DEPARTED:
391 0 : return nVehDeparted;
392 0 : case SUMO_ATTR_ARRIVED:
393 0 : return nVehArrived;
394 0 : case SUMO_ATTR_ENTERED:
395 0 : return nVehEntered;
396 0 : case SUMO_ATTR_LEFT:
397 0 : return nVehLeft;
398 0 : case SUMO_ATTR_VAPORIZED:
399 0 : return nVehVaporized;
400 0 : case SUMO_ATTR_TELEPORTED:
401 0 : return nVehTeleported;
402 0 : case SUMO_ATTR_FLOW: {
403 0 : const double density = MIN2(frontSampleSeconds / STEPS2TIME(period) * (double) 1000 / myLaneLength,
404 0 : 1000. * numLanes / MAX2(minimalVehicleLength, NUMERICAL_EPS));
405 0 : const double speed = frontTravelledDistance / frontSampleSeconds;
406 0 : return density * speed * 3.6;
407 : }
408 : default:
409 : return 0;
410 : }
411 : }
412 :
413 : // ---------------------------------------------------------------------------
414 : // MSMeanData_Net - methods
415 : // ---------------------------------------------------------------------------
416 22902 : MSMeanData_Net::MSMeanData_Net(const std::string& id,
417 : const SUMOTime dumpBegin,
418 : const SUMOTime dumpEnd, const bool useLanes,
419 : const std::string& excludeEmpty,
420 : const bool withInternal,
421 : const bool trackVehicles,
422 : const int detectPersons,
423 : const double maxTravelTime,
424 : const double minSamples,
425 : const double haltSpeed,
426 : const double haltSpeedRel,
427 : const std::string& vTypes,
428 : const std::string& writeAttributes,
429 : const std::vector<MSEdge*>& edges,
430 22902 : AggregateType aggregate) :
431 : MSMeanData(id, dumpBegin, dumpEnd, useLanes, excludeEmpty,
432 : withInternal, trackVehicles, detectPersons, maxTravelTime, minSamples, vTypes, writeAttributes, edges, aggregate),
433 22902 : myHaltSpeed(haltSpeed),
434 22902 : myHaltSpeedRel(haltSpeedRel)
435 22902 : { }
436 :
437 :
438 44773 : MSMeanData_Net::~MSMeanData_Net() {}
439 :
440 :
441 : MSMeanData::MeanDataValues*
442 8322308 : MSMeanData_Net::createValues(MSLane* const lane, const double length, const bool doAdd) const {
443 8322308 : return new MSLaneMeanDataValues(lane, length, doAdd, this);
444 : }
445 :
446 :
447 : std::vector<std::string>
448 0 : MSMeanData_Net::getAttributeNames() const {
449 : std::vector<std::string> result;
450 0 : result.push_back(toString(SUMO_ATTR_DENSITY));
451 0 : result.push_back(toString(SUMO_ATTR_LANEDENSITY));
452 0 : result.push_back(toString(SUMO_ATTR_OCCUPANCY));
453 0 : result.push_back(toString(SUMO_ATTR_WAITINGTIME));
454 0 : result.push_back(toString(SUMO_ATTR_TIMELOSS));
455 0 : result.push_back(toString(SUMO_ATTR_SPEED));
456 0 : result.push_back(toString(SUMO_ATTR_SPEEDREL));
457 0 : result.push_back(toString(SUMO_ATTR_DEPARTED));
458 0 : result.push_back(toString(SUMO_ATTR_ARRIVED));
459 0 : result.push_back(toString(SUMO_ATTR_ENTERED));
460 0 : result.push_back(toString(SUMO_ATTR_LEFT));
461 0 : result.push_back(toString(SUMO_ATTR_VAPORIZED));
462 0 : result.push_back(toString(SUMO_ATTR_TELEPORTED));
463 0 : result.push_back(toString(SUMO_ATTR_FLOW));
464 0 : return result;
465 0 : }
466 :
467 :
468 : double
469 0 : MSMeanData_Net::getAttributeValue(const MSLane* lane, SumoXMLAttr a, double defaultValue) const {
470 : double result = defaultValue;
471 0 : const std::vector<MeanDataValues*>* edgeValues = getEdgeValues(&lane->getEdge());
472 0 : if (edgeValues == nullptr) {
473 : return result;
474 : }
475 : MeanDataValues* values = nullptr;
476 0 : if (!myAmEdgeBased) {
477 0 : values = (*edgeValues)[lane->getIndex()];
478 : } else {
479 0 : MeanDataValues* sumData = createValues(nullptr, lane->getLength(), false);
480 0 : for (MeanDataValues* meanData : (*edgeValues)) {
481 0 : meanData->addTo(*sumData);
482 : }
483 : values = sumData;
484 : }
485 : const SUMOTime myLastResetTime = 0; // XXX store last reset time
486 0 : const SUMOTime period = SIMSTEP - myLastResetTime;
487 0 : result = values->getAttributeValue(a, period, lane->getEdge().getNumLanes(), lane->getSpeedLimit());
488 0 : if (myAmEdgeBased) {
489 0 : delete values;
490 : }
491 : return result;
492 : }
493 :
494 :
495 : /****************************************************************************/
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