Line data Source code
1 : /****************************************************************************/
2 : // Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.dev/sumo
3 : // Copyright (C) 2001-2026 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.cpp
15 : /// @author Daniel Krajzewicz
16 : /// @author Jakob Erdmann
17 : /// @author Michael Behrisch
18 : /// @author Laura Bieker
19 : /// @author Leonhard Luecken
20 : /// @date Mon, 10.05.2004
21 : ///
22 : // Data collector for edges/lanes
23 : /****************************************************************************/
24 : #include <config.h>
25 :
26 : #include <limits>
27 : #ifdef HAVE_FOX
28 : #include <utils/common/ScopedLocker.h>
29 : #endif
30 : #include <utils/common/SUMOTime.h>
31 : #include <utils/common/ToString.h>
32 : #include <utils/common/StringTokenizer.h>
33 : #include <utils/iodevices/OutputDevice.h>
34 : #include <microsim/MSEdgeControl.h>
35 : #include <microsim/MSEdge.h>
36 : #include <microsim/MSLane.h>
37 : #include <microsim/MSVehicle.h>
38 : #include <microsim/cfmodels/MSCFModel.h>
39 : #include <microsim/MSNet.h>
40 : #include "MSMeanData_Amitran.h"
41 : #include "MSMeanData.h"
42 :
43 : #include <microsim/MSGlobals.h>
44 : #include <mesosim/MESegment.h>
45 : #include <mesosim/MELoop.h>
46 :
47 :
48 : // ===========================================================================
49 : // debug constants
50 : // ===========================================================================
51 : //#define DEBUG_NOTIFY_MOVE
52 : //#define DEBUG_NOTIFY_ENTER
53 :
54 : // ===========================================================================
55 : // method definitions
56 : // ===========================================================================
57 : // ---------------------------------------------------------------------------
58 : // MSMeanData::MeanDataValues - methods
59 : // ---------------------------------------------------------------------------
60 9136610 : MSMeanData::MeanDataValues::MeanDataValues(
61 : MSLane* const lane, const double length, const bool doAdd,
62 9136610 : const MSMeanData* const parent) :
63 18273220 : MSMoveReminder("meandata_" + (parent == nullptr ? "" : parent->getID() + "|") + (lane == nullptr ? "NULL" : lane->getID()), lane, doAdd),
64 9136610 : myParent(parent),
65 9136610 : myLaneLength(length),
66 9136610 : sampleSeconds(0),
67 27409830 : travelledDistance(0) { }
68 :
69 :
70 9135456 : MSMeanData::MeanDataValues::~MeanDataValues() {
71 9135456 : }
72 :
73 :
74 : bool
75 693062 : MSMeanData::MeanDataValues::notifyEnter(SUMOTrafficObject& veh, MSMoveReminder::Notification reason, const MSLane* enteredLane) {
76 : #ifdef DEBUG_NOTIFY_ENTER
77 : std::cout << "\n" << SIMTIME << " MSMeanData_Net::MSLaneMeanDataValues: veh '" << veh.getID() << "' enters lane '" << enteredLane->getID() << "'" << std::endl;
78 : #else
79 : UNUSED_PARAMETER(enteredLane);
80 : #endif
81 : UNUSED_PARAMETER(reason);
82 693062 : return myParent == nullptr || myParent->vehicleApplies(veh);
83 : }
84 :
85 :
86 : bool
87 475279037 : MSMeanData::MeanDataValues::notifyMove(SUMOTrafficObject& veh, double oldPos, double newPos, double newSpeed) {
88 : // if the vehicle has arrived, the reminder must be kept so it can be
89 : // notified of the arrival subsequently
90 475279037 : const double oldSpeed = veh.getPreviousSpeed();
91 475279037 : double enterSpeed = MSGlobals::gSemiImplicitEulerUpdate ? newSpeed : oldSpeed; // NOTE: For the euler update, the vehicle is assumed to travel at constant speed for the whole time step
92 : double leaveSpeed = newSpeed, leaveSpeedFront = newSpeed;
93 :
94 : // These values will be further decreased below
95 475279037 : double timeOnLane = TS;
96 475279037 : double frontOnLane = oldPos > myLaneLength ? 0. : TS;
97 : bool ret = true;
98 :
99 : // entry and exit times (will be modified below)
100 : double timeBeforeEnter = 0.;
101 : double timeBeforeEnterBack = 0.;
102 475279037 : double timeBeforeLeaveFront = newPos <= myLaneLength ? TS : 0.;
103 : double timeBeforeLeave = TS;
104 :
105 : // Treat the case that the vehicle entered the lane in the last step
106 475279037 : if (oldPos < 0 && newPos >= 0) {
107 : // Vehicle was not on this lane in the last time step
108 11106070 : timeBeforeEnter = MSCFModel::passingTime(oldPos, 0, newPos, oldSpeed, newSpeed);
109 11106070 : timeOnLane = TS - timeBeforeEnter;
110 : frontOnLane = timeOnLane;
111 11106070 : enterSpeed = MSCFModel::speedAfterTime(timeBeforeEnter, oldSpeed, newPos - oldPos);
112 : }
113 :
114 475279037 : const double oldBackPos = oldPos - veh.getVehicleType().getLength();
115 475279037 : const double newBackPos = newPos - veh.getVehicleType().getLength();
116 :
117 : // Determine the time before the vehicle back enters
118 475279037 : if (oldBackPos < 0. && newBackPos > 0.) {
119 11386122 : timeBeforeEnterBack = MSCFModel::passingTime(oldBackPos, 0., newBackPos, oldSpeed, newSpeed);
120 463892915 : } else if (newBackPos <= 0) {
121 7883609 : timeBeforeEnterBack = TS;
122 : } else {
123 : timeBeforeEnterBack = 0.;
124 : }
125 :
126 : // Treat the case that the vehicle's back left the lane in the last step
127 475279037 : if (newBackPos > myLaneLength // vehicle's back has left the lane
128 12823732 : && oldBackPos <= myLaneLength) { // and hasn't left the lane before
129 : assert(!MSGlobals::gSemiImplicitEulerUpdate || newSpeed != 0); // how could it move across the lane boundary otherwise
130 : // (Leo) vehicle left this lane (it can also have skipped over it in one time step -> therefore we use "timeOnLane -= ..." and ( ... - timeOnLane) below)
131 12823582 : timeBeforeLeave = MSCFModel::passingTime(oldBackPos, myLaneLength, newBackPos, oldSpeed, newSpeed);
132 12823582 : const double timeAfterLeave = TS - timeBeforeLeave;
133 12823582 : timeOnLane -= timeAfterLeave;
134 12823582 : leaveSpeed = MSCFModel::speedAfterTime(timeBeforeLeave, oldSpeed, newPos - oldPos);
135 : // XXX: Do we really need this? Why would this "reduce rounding errors"? (Leo) Refs. #2579
136 12823582 : if (fabs(timeOnLane) < NUMERICAL_EPS) { // reduce rounding errors
137 : timeOnLane = 0.;
138 : }
139 12823582 : ret = veh.hasArrived();
140 : }
141 :
142 : // Treat the case that the vehicle's front left the lane in the last step
143 475279037 : if (newPos > myLaneLength && oldPos <= myLaneLength) {
144 : // vehicle's front has left the lane and has not left before
145 : assert(!MSGlobals::gSemiImplicitEulerUpdate || newSpeed != 0);
146 14025286 : timeBeforeLeaveFront = MSCFModel::passingTime(oldPos, myLaneLength, newPos, oldSpeed, newSpeed);
147 14025286 : const double timeAfterLeave = TS - timeBeforeLeaveFront;
148 14025286 : frontOnLane -= timeAfterLeave;
149 : // XXX: Do we really need this? Why would this "reduce rounding errors"? (Leo) Refs. #2579
150 14025286 : if (fabs(frontOnLane) < NUMERICAL_EPS) { // reduce rounding errors
151 : frontOnLane = 0.;
152 : }
153 14025286 : leaveSpeedFront = MSCFModel::speedAfterTime(timeBeforeLeaveFront, oldSpeed, newPos - oldPos);
154 : }
155 :
156 : assert(frontOnLane <= TS);
157 : assert(timeOnLane <= TS);
158 :
159 475279037 : if (timeOnLane < 0) {
160 0 : WRITE_ERRORF(TL("Negative vehicle step fraction for '%' on lane '%'."), veh.getID(), getLane()->getID());
161 0 : return veh.hasArrived();
162 : }
163 475279037 : if (timeOnLane == 0) {
164 21890 : return veh.hasArrived();
165 : }
166 :
167 : #ifdef DEBUG_NOTIFY_MOVE
168 : std::stringstream ss;
169 : ss << "\n"
170 : << "lane length: " << myLaneLength
171 : << "\noldPos: " << oldPos
172 : << "\nnewPos: " << newPos
173 : << "\noldPosBack: " << oldBackPos
174 : << "\nnewPosBack: " << newBackPos
175 : << "\ntimeBeforeEnter: " << timeBeforeEnter
176 : << "\ntimeBeforeEnterBack: " << timeBeforeEnterBack
177 : << "\ntimeBeforeLeaveFront: " << timeBeforeLeaveFront
178 : << "\ntimeBeforeLeave: " << timeBeforeLeave;
179 : if (!(timeBeforeLeave >= MAX2(timeBeforeEnterBack, timeBeforeLeaveFront))
180 : || !(timeBeforeEnter <= MIN2(timeBeforeEnterBack, timeBeforeLeaveFront))) {
181 : WRITE_ERROR(ss.str());
182 : } else {
183 : std::cout << ss.str() << std::endl;
184 : }
185 :
186 : #endif
187 :
188 : assert(timeBeforeEnter <= MIN2(timeBeforeEnterBack, timeBeforeLeaveFront));
189 : assert(timeBeforeLeave >= MAX2(timeBeforeEnterBack, timeBeforeLeaveFront));
190 : // compute average vehicle length on lane in last step
191 475257147 : double vehLength = veh.getVehicleType().getLength();
192 : // occupied lane length at timeBeforeEnter (resp. stepStart if already on lane)
193 475257147 : double lengthOnLaneAtStepStart = MAX2(0., MIN4(myLaneLength, vehLength, vehLength - (oldPos - myLaneLength), oldPos));
194 : // occupied lane length at timeBeforeLeave (resp. stepEnd if still on lane)
195 475257147 : double lengthOnLaneAtStepEnd = MAX2(0., MIN4(myLaneLength, vehLength, vehLength - (newPos - myLaneLength), newPos));
196 : double integratedLengthOnLane = 0.;
197 475257147 : if (timeBeforeEnterBack < timeBeforeLeaveFront) {
198 : // => timeBeforeLeaveFront>0, myLaneLength>vehLength
199 : // vehicle length on detector at timeBeforeEnterBack
200 459464519 : double lengthOnLaneAtBackEnter = MIN2(veh.getVehicleType().getLength(), newPos);
201 : // linear quadrature of occupancy between timeBeforeEnter and timeBeforeEnterBack
202 459464519 : integratedLengthOnLane += (timeBeforeEnterBack - timeBeforeEnter) * (lengthOnLaneAtBackEnter + lengthOnLaneAtStepStart) * 0.5;
203 : // linear quadrature of occupancy between timeBeforeEnterBack and timeBeforeLeaveFront
204 : // (vehicle is completely on the edge in between)
205 459464519 : integratedLengthOnLane += (timeBeforeLeaveFront - timeBeforeEnterBack) * vehLength;
206 : // and until vehicle leaves/stepEnd
207 459464519 : integratedLengthOnLane += (timeBeforeLeave - timeBeforeLeaveFront) * (vehLength + lengthOnLaneAtStepEnd) * 0.5;
208 15792628 : } else if (timeBeforeEnterBack >= timeBeforeLeaveFront) {
209 : // => myLaneLength <= vehLength or (timeBeforeLeaveFront == timeBeforeEnterBack == 0)
210 : // vehicle length on detector at timeBeforeLeaveFront
211 : double lengthOnLaneAtLeaveFront;
212 15792628 : if (timeBeforeLeaveFront == timeBeforeEnter) {
213 : // for the case that front already left
214 : lengthOnLaneAtLeaveFront = lengthOnLaneAtStepStart;
215 7907837 : } else if (timeBeforeLeaveFront == timeBeforeLeave) {
216 : // for the case that front doesn't leave in this step
217 : lengthOnLaneAtLeaveFront = lengthOnLaneAtStepEnd;
218 : } else {
219 : lengthOnLaneAtLeaveFront = myLaneLength;
220 : }
221 : #ifdef DEBUG_NOTIFY_MOVE
222 : std::cout << "lengthOnLaneAtLeaveFront=" << lengthOnLaneAtLeaveFront << std::endl;
223 : #endif
224 : // linear quadrature of occupancy between timeBeforeEnter and timeBeforeLeaveFront
225 15792628 : integratedLengthOnLane += (timeBeforeLeaveFront - timeBeforeEnter) * (lengthOnLaneAtLeaveFront + lengthOnLaneAtStepStart) * 0.5;
226 : // linear quadrature of occupancy between timeBeforeLeaveFront and timeBeforeEnterBack
227 15792628 : integratedLengthOnLane += (timeBeforeEnterBack - timeBeforeLeaveFront) * lengthOnLaneAtLeaveFront;
228 : // and until vehicle leaves/stepEnd
229 15792628 : integratedLengthOnLane += (timeBeforeLeave - timeBeforeEnterBack) * (lengthOnLaneAtLeaveFront + lengthOnLaneAtStepEnd) * 0.5;
230 : }
231 :
232 475257147 : double meanLengthOnLane = integratedLengthOnLane / TS;
233 : #ifdef DEBUG_NOTIFY_MOVE
234 : std::cout << "Calculated mean length on lane '" << myLane->getID() << "' in last step as " << meanLengthOnLane
235 : << "\nlengthOnLaneAtStepStart=" << lengthOnLaneAtStepStart << ", lengthOnLaneAtStepEnd=" << lengthOnLaneAtStepEnd << ", integratedLengthOnLane=" << integratedLengthOnLane
236 : << std::endl;
237 : #endif
238 :
239 : // // XXX: use this, when #2556 is fixed! Refs. #2575
240 : // const double travelledDistanceFrontOnLane = MAX2(0., MIN2(newPos, myLaneLength) - MAX2(oldPos, 0.));
241 : // const double travelledDistanceVehicleOnLane = MIN2(newPos, myLaneLength) - MAX2(oldPos, 0.) + MIN2(MAX2(0., newPos - myLaneLength), veh.getVehicleType().getLength());
242 : // // XXX: #2556 fixed for ballistic update
243 475257147 : const double travelledDistanceFrontOnLane = MSGlobals::gSemiImplicitEulerUpdate ? frontOnLane * newSpeed
244 161836490 : : MAX2(0., MIN2(newPos, myLaneLength) - MAX2(oldPos, 0.));
245 556175392 : const double travelledDistanceVehicleOnLane = MSGlobals::gSemiImplicitEulerUpdate ? timeOnLane * newSpeed
246 161836490 : : MIN2(newPos, myLaneLength) - MAX2(oldPos, 0.) + MIN2(MAX2(0., newPos - myLaneLength), veh.getVehicleType().getLength());
247 : // // XXX: no fix
248 : // const double travelledDistanceFrontOnLane = frontOnLane*newSpeed;
249 : // const double travelledDistanceVehicleOnLane = timeOnLane*newSpeed;
250 :
251 : #ifdef HAVE_FOX
252 475257147 : ScopedLocker<> lock(myNotificationMutex, MSGlobals::gNumSimThreads > 1);
253 : #endif
254 475257147 : notifyMoveInternal(veh, frontOnLane, timeOnLane, (enterSpeed + leaveSpeedFront) / 2., (enterSpeed + leaveSpeed) / 2., travelledDistanceFrontOnLane, travelledDistanceVehicleOnLane, meanLengthOnLane);
255 : return ret;
256 : }
257 :
258 :
259 : bool
260 1183429 : MSMeanData::MeanDataValues::notifyLeave(SUMOTrafficObject& /*veh*/, double /*lastPos*/, MSMoveReminder::Notification reason, const MSLane* /* enteredLane */) {
261 1183429 : if (MSGlobals::gUseMesoSim) {
262 : return false; // reminder is re-added on every segment (@recheck for performance)
263 : }
264 1029185 : return reason == MSMoveReminder::NOTIFICATION_JUNCTION;
265 : }
266 :
267 :
268 : bool
269 2951676 : MSMeanData::MeanDataValues::isEmpty() const {
270 2951676 : return sampleSeconds == 0;
271 : }
272 :
273 :
274 : void
275 0 : MSMeanData::MeanDataValues::update() {
276 0 : }
277 :
278 :
279 : double
280 1024327 : MSMeanData::MeanDataValues::getSamples() const {
281 1024327 : return sampleSeconds;
282 : }
283 :
284 :
285 : // ---------------------------------------------------------------------------
286 : // MSMeanData::MeanDataValueTracker - methods
287 : // ---------------------------------------------------------------------------
288 2744 : MSMeanData::MeanDataValueTracker::MeanDataValueTracker(MSLane* const lane,
289 : const double length,
290 2744 : const MSMeanData* const parent)
291 2744 : : MSMeanData::MeanDataValues(lane, length, true, parent) {
292 2744 : myCurrentData.push_back(std::make_shared<TrackerEntry>(parent->createValues(lane, length, false)));
293 2744 : }
294 :
295 :
296 8232 : MSMeanData::MeanDataValueTracker::~MeanDataValueTracker() {}
297 :
298 :
299 : void
300 164304 : MSMeanData::MeanDataValueTracker::reset(bool afterWrite) {
301 164304 : if (afterWrite) {
302 70360 : if (!myCurrentData.empty()) {
303 70360 : myCurrentData.pop_front();
304 : }
305 : } else {
306 187888 : myCurrentData.push_back(std::make_shared<TrackerEntry>(myParent->createValues(myLane, myLaneLength, false)));
307 : }
308 164304 : }
309 :
310 :
311 : void
312 0 : MSMeanData::MeanDataValueTracker::addTo(MSMeanData::MeanDataValues& val) const {
313 0 : myCurrentData.front()->myValues->addTo(val);
314 0 : }
315 :
316 :
317 : void
318 14996 : MSMeanData::MeanDataValueTracker::notifyMoveInternal(const SUMOTrafficObject& veh, const double frontOnLane, const double timeOnLane, const double meanSpeedFrontOnLane, const double meanSpeedVehicleOnLane, const double travelledDistanceFrontOnLane, const double travelledDistanceVehicleOnLane, const double meanLengthOnLane) {
319 14996 : myTrackedData[&veh]->myValues->notifyMoveInternal(veh, frontOnLane, timeOnLane, meanSpeedFrontOnLane, meanSpeedVehicleOnLane, travelledDistanceFrontOnLane, travelledDistanceVehicleOnLane, meanLengthOnLane);
320 14996 : }
321 :
322 :
323 : bool
324 784 : MSMeanData::MeanDataValueTracker::notifyLeave(SUMOTrafficObject& veh, double lastPos, MSMoveReminder::Notification reason, const MSLane* /* enteredLane */) {
325 784 : if (myParent == nullptr || reason != MSMoveReminder::NOTIFICATION_SEGMENT) {
326 384 : myTrackedData[&veh]->myNumVehicleLeft++;
327 : }
328 784 : return myTrackedData[&veh]->myValues->notifyLeave(veh, lastPos, reason);
329 : }
330 :
331 :
332 : bool
333 3400 : MSMeanData::MeanDataValueTracker::notifyEnter(SUMOTrafficObject& veh, MSMoveReminder::Notification reason, const MSLane* enteredLane) {
334 : #ifdef DEBUG_NOTIFY_ENTER
335 : std::cout << "\n" << SIMTIME << " MSMeanData::MeanDataValueTracker: veh '" << veh.getID() << "' enters lane '" << enteredLane->getID() << "'" << std::endl;
336 : #else
337 : UNUSED_PARAMETER(enteredLane);
338 : #endif
339 3400 : if (reason == MSMoveReminder::NOTIFICATION_SEGMENT) {
340 : return true;
341 : }
342 5768 : if (myParent->vehicleApplies(veh) && myTrackedData.find(&veh) == myTrackedData.end()) {
343 504 : myTrackedData[&veh] = myCurrentData.back();
344 504 : myTrackedData[&veh]->myNumVehicleEntered++;
345 504 : if (!myTrackedData[&veh]->myValues->notifyEnter(veh, reason)) {
346 0 : myTrackedData[&veh]->myNumVehicleLeft++;
347 0 : myTrackedData.erase(&veh);
348 0 : return false;
349 : }
350 : return true;
351 : }
352 : return false;
353 : }
354 :
355 :
356 : bool
357 91696 : MSMeanData::MeanDataValueTracker::isEmpty() const {
358 91696 : return myCurrentData.front()->myValues->isEmpty();
359 : }
360 :
361 :
362 : void
363 368 : MSMeanData::MeanDataValueTracker::write(OutputDevice& dev,
364 : const SumoXMLAttrMask& attributeMask,
365 : const SUMOTime period,
366 : const int numLanes,
367 : const double speedLimit,
368 : const double defaultTravelTime,
369 : const int /*numVehicles*/) const {
370 368 : myCurrentData.front()->myValues->write(dev, attributeMask, period, numLanes, speedLimit,
371 : defaultTravelTime,
372 : myCurrentData.front()->myNumVehicleEntered);
373 368 : }
374 :
375 :
376 : int
377 63116 : MSMeanData::MeanDataValueTracker::getNumReady() const {
378 : int result = 0;
379 1445056 : for (const auto& it : myCurrentData) {
380 1384592 : if (it->myNumVehicleEntered == it->myNumVehicleLeft) {
381 1381940 : result++;
382 : } else {
383 : break;
384 : }
385 : }
386 63116 : return result;
387 : }
388 :
389 :
390 : double
391 368 : MSMeanData::MeanDataValueTracker::getSamples() const {
392 368 : return myCurrentData.front()->myValues->getSamples();
393 : }
394 :
395 :
396 : // ---------------------------------------------------------------------------
397 : // MSMeanData - methods
398 : // ---------------------------------------------------------------------------
399 24205 : MSMeanData::MSMeanData(const std::string& id,
400 : const SUMOTime dumpBegin, const SUMOTime dumpEnd,
401 : const bool useLanes, const std::string& excludeEmpty, const bool withInternal,
402 : const bool trackVehicles,
403 : const int detectPersons,
404 : const double maxTravelTime,
405 : const double minSamples,
406 : const std::string& vTypes,
407 : const std::string& writeAttributes,
408 : const std::vector<MSEdge*>& edges,
409 24205 : AggregateType aggregate) :
410 : MSDetectorFileOutput(id, vTypes, "", detectPersons),
411 24205 : myMinSamples(minSamples),
412 24205 : myMaxTravelTime(maxTravelTime),
413 24205 : myAmEdgeBased(!useLanes),
414 24205 : myDumpBegin(dumpBegin),
415 24205 : myDumpEnd(dumpEnd),
416 24205 : myInitTime(SUMOTime_MAX),
417 24205 : myEdges(edges),
418 166 : myDumpInternal(withInternal && MSGlobals::gUsingInternalLanes),
419 24205 : myTrackVehicles(trackVehicles),
420 96820 : myWrittenAttributes(OutputDevice::parseWrittenAttributes(StringTokenizer(writeAttributes).getVector(), "meandata '" + id + "'")),
421 72615 : myAggregate(aggregate) {
422 : try {
423 24205 : myDumpEmpty = !StringUtils::toBool(excludeEmpty);
424 84 : } catch (const BoolFormatException&) {
425 84 : if (excludeEmpty == "default" || excludeEmpty == "defaults") {
426 78 : myPrintDefaults = true;
427 6 : } else if (excludeEmpty == "modified") {
428 6 : myDumpEmpty = false;
429 6 : myPrintDefaults = true;
430 6 : myPrintModified = true;
431 : } else {
432 0 : throw;
433 : }
434 84 : }
435 24205 : }
436 :
437 :
438 : void
439 23280 : MSMeanData::init() {
440 23280 : myInitTime = MSNet::getInstance()->getCurrentTimeStep();
441 23280 : if (myEdges.empty()) {
442 : // use all edges by default
443 819099 : for (MSEdge* const edge : MSNet::getInstance()->getEdgeControl().getEdges()) {
444 795888 : if ((myDumpInternal || !edge->isInternal()) &&
445 529586 : ((detectsPersons() && myDumpInternal) || (!edge->isCrossing() && !edge->isWalkingArea()))) {
446 351474 : myEdges.push_back(edge);
447 : }
448 : }
449 : }
450 : int index = 0;
451 374867 : for (MSEdge* edge : myEdges) {
452 351587 : myMeasures.push_back(std::vector<MeanDataValues*>());
453 351587 : myEdgeIndex[edge] = index++;
454 351587 : const std::vector<MSLane*>& lanes = edge->getLanes();
455 351587 : if (MSGlobals::gUseMesoSim) {
456 : MeanDataValues* data;
457 30525 : if (!myAmEdgeBased) {
458 85 : for (MSLane* const lane : lanes) {
459 52 : data = createValues(lane, lanes[0]->getLength(), false);
460 52 : myMeasures.back().push_back(data);
461 52 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
462 310 : while (s != nullptr) {
463 258 : s->addDetector(data, lane->getIndex());
464 258 : s->prepareDetectorForWriting(*data, lane->getIndex());
465 : s = s->getNextSegment();
466 : }
467 52 : data->reset();
468 52 : data->reset(true);
469 : }
470 : } else {
471 30492 : if (myTrackVehicles) {
472 880 : data = new MeanDataValueTracker(nullptr, lanes[0]->getLength(), this);
473 : } else {
474 29612 : data = createValues(nullptr, lanes[0]->getLength(), false);
475 : }
476 60984 : data->setDescription("meandata_" + getID() + "|" + edge->getID());
477 30492 : myMeasures.back().push_back(data);
478 30492 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
479 152898 : while (s != nullptr) {
480 122406 : s->addDetector(data);
481 122406 : s->prepareDetectorForWriting(*data);
482 : s = s->getNextSegment();
483 : }
484 30492 : data->reset();
485 30492 : data->reset(true);
486 : }
487 : continue;
488 30525 : }
489 321062 : if (myAmEdgeBased && myTrackVehicles) {
490 936 : myMeasures.back().push_back(new MeanDataValueTracker(nullptr, lanes[0]->getLength(), this));
491 : }
492 848691 : for (MSLane* const lane : lanes) {
493 527629 : if (myTrackVehicles) {
494 2016 : if (myAmEdgeBased) {
495 1088 : lane->addMoveReminder(myMeasures.back().back());
496 : } else {
497 928 : myMeasures.back().push_back(new MeanDataValueTracker(lane, lane->getLength(), this));
498 : }
499 : } else {
500 525613 : myMeasures.back().push_back(createValues(lane, lane->getLength(), true));
501 : }
502 : }
503 : }
504 23280 : if (myAggregate == AggregateType::TAZ) {
505 450 : for (const MSEdge* e : MSEdge::getAllEdges()) {
506 444 : if (e->isTazConnector()) {
507 180 : myTAZ.push_back(e);
508 : }
509 : }
510 : }
511 23280 : }
512 :
513 :
514 24150 : MSMeanData::~MSMeanData() {
515 375128 : for (std::vector<std::vector<MeanDataValues*> >::const_iterator i = myMeasures.begin(); i != myMeasures.end(); ++i) {
516 907846 : for (std::vector<MeanDataValues*>::const_iterator j = (*i).begin(); j != (*i).end(); ++j) {
517 556868 : delete *j;
518 : }
519 : }
520 24150 : }
521 :
522 :
523 : void
524 12645 : MSMeanData::resetOnly(SUMOTime stopTime) {
525 : UNUSED_PARAMETER(stopTime);
526 12645 : if (MSGlobals::gUseMesoSim) {
527 : MSEdgeVector::iterator edge = myEdges.begin();
528 117300 : for (std::vector<std::vector<MeanDataValues*> >::const_iterator i = myMeasures.begin(); i != myMeasures.end(); ++i, ++edge) {
529 113716 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(**edge);
530 227432 : for (MeanDataValues* data : *i) {
531 602292 : while (s != nullptr) {
532 488576 : s->prepareDetectorForWriting(*data);
533 : s = s->getNextSegment();
534 : }
535 113716 : data->reset();
536 : }
537 : }
538 : return;
539 : }
540 257304 : for (std::vector<std::vector<MeanDataValues*> >::const_iterator i = myMeasures.begin(); i != myMeasures.end(); ++i) {
541 529990 : for (std::vector<MeanDataValues*>::const_iterator j = (*i).begin(); j != (*i).end(); ++j) {
542 281747 : (*j)->reset();
543 : }
544 : }
545 : }
546 :
547 :
548 : std::string
549 576874 : MSMeanData::getEdgeID(const MSEdge* const edge) {
550 576874 : return edge->getID();
551 : }
552 :
553 :
554 : void
555 940 : MSMeanData::writeAggregated(OutputDevice& dev, SUMOTime startTime, SUMOTime stopTime) {
556 940 : if (myTrackVehicles) {
557 0 : throw ProcessError(TL("aggregated meanData output not yet implemented for trackVehicles"));
558 : }
559 :
560 : double edgeLengthSum = 0;
561 : int laneNumber = 0;
562 : double speedSum = 0;
563 : double totalTT = 0;
564 42172 : for (MSEdge* edge : myEdges) {
565 41232 : edgeLengthSum += edge->getLength();
566 41232 : laneNumber += edge->getNumDrivingLanes();
567 41232 : speedSum += edge->getSpeedLimit();
568 41232 : totalTT += edge->getLength() / edge->getSpeedLimit();
569 : }
570 940 : MeanDataValues* sumData = createValues(nullptr, edgeLengthSum, false);
571 42172 : for (const std::vector<MeanDataValues*>& edgeValues : myMeasures) {
572 82512 : for (MeanDataValues* meanData : edgeValues) {
573 41280 : meanData->addTo(*sumData);
574 41280 : if (!MSNet::getInstance()->skipFinalReset()) {
575 41280 : meanData->reset();
576 : }
577 : }
578 : }
579 940 : if (MSGlobals::gUseMesoSim) {
580 14040 : for (int i = 0; i < (int)myEdges.size(); i++) {
581 13728 : MSEdge* edge = myEdges[i];
582 : std::vector<MeanDataValues*>& edgeValues = myMeasures[i];
583 13728 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
584 68640 : while (s != nullptr) {
585 109824 : for (MeanDataValues* meanData : edgeValues) {
586 54912 : s->prepareDetectorForWriting(*meanData);
587 54912 : meanData->addTo(*sumData);
588 54912 : if (!MSNet::getInstance()->skipFinalReset()) {
589 54912 : meanData->reset();
590 : }
591 : }
592 : s = s->getNextSegment();
593 : }
594 : }
595 : }
596 :
597 940 : if (myDumpEmpty || !sumData->isEmpty()) {
598 1868 : writePrefix(dev, *sumData, SUMO_TAG_EDGE, "AGGREGATED");
599 934 : dev.writeAttr(SUMO_ATTR_NUMEDGES, myEdges.size());
600 934 : sumData->write(dev, myWrittenAttributes, stopTime - startTime, laneNumber, speedSum / (double)myEdges.size(),
601 934 : myPrintDefaults ? totalTT : -1.);
602 : }
603 940 : delete sumData;
604 940 : }
605 :
606 :
607 : void
608 18 : MSMeanData::writeAggregatedTAZ(OutputDevice& dev, SUMOTime startTime, SUMOTime stopTime) {
609 18 : if (myTrackVehicles) {
610 0 : throw ProcessError(TL("aggregated meanData output not yet implemented for trackVehicles"));
611 : }
612 :
613 558 : for (const MSEdge* taz : myTAZ) {
614 : double edgeLengthSum = 0;
615 : int laneNumber = 0;
616 : double speedSum = 0;
617 : double totalTT = 0;
618 : std::set<const MSEdge*> connected;
619 1332 : for (const MSEdge* edge : taz->getSuccessors()) {
620 : connected.insert(edge);
621 : }
622 1332 : for (const MSEdge* edge : taz->getPredecessors()) {
623 : connected.insert(edge);
624 : }
625 2124 : for (const MSEdge* edge : connected) {
626 1584 : edgeLengthSum += edge->getLength();
627 1584 : laneNumber += edge->getNumDrivingLanes();
628 1584 : speedSum += edge->getSpeedLimit();
629 1584 : totalTT += edge->getLength() / edge->getSpeedLimit();
630 : }
631 540 : MeanDataValues* sumData = createValues(nullptr, edgeLengthSum, false);
632 24300 : for (int i = 0; i < (int)myEdges.size(); i++) {
633 23760 : MSEdge* edge = myEdges[i];
634 : if (connected.count(edge) != 0) {
635 : std::vector<MeanDataValues*>& edgeValues = myMeasures[i];
636 1584 : if (MSGlobals::gUseMesoSim) {
637 528 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
638 2640 : while (s != nullptr) {
639 4224 : for (MeanDataValues* meanData : edgeValues) {
640 2112 : s->prepareDetectorForWriting(*meanData);
641 2112 : meanData->addTo(*sumData);
642 : }
643 : s = s->getNextSegment();
644 : }
645 : } else {
646 2112 : for (MeanDataValues* meanData : edgeValues) {
647 1056 : meanData->addTo(*sumData);
648 : }
649 : }
650 : }
651 : }
652 540 : if (myDumpEmpty || !sumData->isEmpty()) {
653 216 : writePrefix(dev, *sumData, SUMO_TAG_EDGE, taz->getID());
654 72 : dev.writeAttr(SUMO_ATTR_NUMEDGES, connected.size());
655 72 : sumData->write(dev, myWrittenAttributes, stopTime - startTime, laneNumber, speedSum / (double)connected.size(),
656 72 : myPrintDefaults ? totalTT : -1.);
657 : }
658 540 : delete sumData;
659 : }
660 :
661 18 : if (!MSNet::getInstance()->skipFinalReset()) {
662 810 : for (const std::vector<MeanDataValues*>& edgeValues : myMeasures) {
663 1584 : for (MeanDataValues* meanData : edgeValues) {
664 792 : meanData->reset();
665 : }
666 : }
667 : }
668 18 : }
669 :
670 :
671 : void
672 17888969 : MSMeanData::writeEdge(OutputDevice& dev,
673 : const std::vector<MeanDataValues*>& edgeValues,
674 : const MSEdge* const edge, SUMOTime startTime, SUMOTime stopTime) {
675 17888969 : if (MSGlobals::gUseMesoSim) {
676 : int idx = 0;
677 2726481 : for (MeanDataValues* const data : edgeValues) {
678 1363264 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
679 7007194 : while (s != nullptr) {
680 5644272 : s->prepareDetectorForWriting(*data, myAmEdgeBased ? -1 : idx);
681 : s = s->getNextSegment();
682 : }
683 1363264 : idx++;
684 : }
685 1363217 : if (myAmEdgeBased) {
686 1363170 : MeanDataValues* const data = edgeValues.front();
687 1363170 : if (myDumpEmpty || (myPrintModified && edge->getLanes()[0]->isSpeedModified()) || !data->isEmpty()) {
688 60956 : writePrefix(dev, *data, SUMO_TAG_EDGE, getEdgeID(edge));
689 60956 : data->write(dev, myWrittenAttributes, stopTime - startTime,
690 : edge->getNumDrivingLanes(),
691 : edge->getSpeedLimit(),
692 60956 : myPrintDefaults ? edge->getLength() / edge->getSpeedLimit() : -1.);
693 : }
694 1363170 : if (!MSNet::getInstance()->skipFinalReset()) {
695 1363170 : data->reset(true);
696 : }
697 1363170 : return;
698 : }
699 : }
700 16525799 : if (!myAmEdgeBased) {
701 8025206 : bool writeCheck = myDumpEmpty;
702 8025206 : if (!writeCheck) {
703 15611296 : for (const MeanDataValues* const laneData : edgeValues) {
704 7912883 : if (!laneData->isEmpty() || (myPrintModified && laneData->getLane()->isSpeedModified())) {
705 : writeCheck = true;
706 : break;
707 : }
708 : }
709 : }
710 7901535 : if (writeCheck) {
711 326793 : dev.openTag(SUMO_TAG_EDGE).writeAttr(SUMO_ATTR_ID, edge->getID());
712 : }
713 16170170 : for (MeanDataValues* const laneData : edgeValues) {
714 : const MSLane* const lane = laneData->getLane();
715 8144964 : if (myDumpEmpty || (myPrintModified && lane->isSpeedModified()) || !laneData->isEmpty()) {
716 870274 : writePrefix(dev, *laneData, SUMO_TAG_LANE, lane->getID());
717 435137 : laneData->write(dev, myWrittenAttributes, stopTime - startTime, 1, lane->getSpeedLimit(),
718 435137 : myPrintDefaults ? lane->getLength() / lane->getSpeedLimit() : -1.);
719 : }
720 8144964 : if (!MSNet::getInstance()->skipFinalReset()) {
721 8144964 : laneData->reset(true);
722 : }
723 : }
724 8025206 : if (writeCheck) {
725 653586 : dev.closeTag();
726 : }
727 : } else {
728 8500593 : if (myTrackVehicles) {
729 22440 : MeanDataValues& meanData = **edgeValues.begin();
730 22440 : if (myDumpEmpty || !meanData.isEmpty()) {
731 160 : writePrefix(dev, meanData, SUMO_TAG_EDGE, edge->getID());
732 160 : meanData.write(dev, myWrittenAttributes, stopTime - startTime, edge->getNumDrivingLanes(), edge->getSpeedLimit(),
733 160 : myPrintDefaults ? edge->getLength() / edge->getSpeedLimit() : -1.);
734 : }
735 22440 : if (!MSNet::getInstance()->skipFinalReset()) {
736 22440 : meanData.reset(true);
737 : }
738 : } else {
739 8478153 : MeanDataValues* sumData = createValues(nullptr, edge->getLength(), false);
740 8478153 : bool writeCheck = myDumpEmpty;
741 17124016 : for (MeanDataValues* const laneData : edgeValues) {
742 8645863 : laneData->addTo(*sumData);
743 8645863 : if (myPrintModified && laneData->getLane()->isSpeedModified()) {
744 : writeCheck = true;
745 : }
746 8645863 : if (!MSNet::getInstance()->skipFinalReset()) {
747 8645863 : laneData->reset();
748 : }
749 : }
750 8478153 : if (writeCheck || !sumData->isEmpty()) {
751 518650 : writePrefix(dev, *sumData, SUMO_TAG_EDGE, getEdgeID(edge));
752 518650 : sumData->write(dev, myWrittenAttributes, stopTime - startTime, edge->getNumDrivingLanes(), edge->getSpeedLimit(),
753 518650 : myPrintDefaults ? edge->getLength() / edge->getSpeedLimit() : -1.);
754 : }
755 8478152 : delete sumData;
756 : }
757 : }
758 : }
759 :
760 :
761 : void
762 437777 : MSMeanData::openInterval(OutputDevice& dev, const SUMOTime startTime, const SUMOTime stopTime) {
763 437777 : dev.openTag(SUMO_TAG_INTERVAL).writeAttr(SUMO_ATTR_BEGIN, time2string(startTime)).writeAttr(SUMO_ATTR_END, time2string(stopTime));
764 437777 : dev.writeAttr(SUMO_ATTR_ID, myID);
765 437777 : }
766 :
767 :
768 : void
769 1013153 : MSMeanData::writePrefix(OutputDevice& dev, const MeanDataValues& values, const SumoXMLTag tag, const std::string id) const {
770 1013153 : dev.openTag(tag);
771 1013153 : dev.writeAttr(SUMO_ATTR_ID, id);
772 1013153 : dev.writeOptionalAttr(SUMO_ATTR_SAMPLEDSECONDS, values.getSamples(), myWrittenAttributes);
773 1013153 : }
774 :
775 :
776 : void
777 449088 : MSMeanData::writeXMLOutput(OutputDevice& dev,
778 : SUMOTime startTime, SUMOTime stopTime) {
779 : // check whether this dump shall be written for the current time
780 449088 : int numReady = myDumpBegin < stopTime && myDumpEnd - DELTA_T >= startTime ? 1 : 0;
781 449088 : if (myTrackVehicles && myDumpBegin < stopTime) {
782 2124 : myPendingIntervals.push_back(std::make_pair(startTime, stopTime));
783 2124 : numReady = (int)myPendingIntervals.size();
784 63312 : for (std::vector<std::vector<MeanDataValues*> >::const_iterator i = myMeasures.begin(); i != myMeasures.end(); ++i) {
785 124304 : for (std::vector<MeanDataValues*>::const_iterator j = (*i).begin(); j != (*i).end(); ++j) {
786 63116 : numReady = MIN2(numReady, ((MeanDataValueTracker*)*j)->getNumReady());
787 63116 : if (numReady == 0) {
788 : break;
789 : }
790 : }
791 63092 : if (numReady == 0) {
792 : break;
793 : }
794 : }
795 : }
796 449088 : const bool partialInterval = startTime < myInitTime;
797 449088 : if (numReady == 0 || myTrackVehicles || partialInterval) {
798 12645 : resetOnly(stopTime);
799 : }
800 449088 : if (partialInterval) {
801 : return;
802 : }
803 887108 : while (numReady-- > 0) {
804 438031 : if (!myPendingIntervals.empty()) {
805 1588 : startTime = myPendingIntervals.front().first;
806 1588 : stopTime = myPendingIntervals.front().second;
807 1588 : myPendingIntervals.pop_front();
808 : }
809 438031 : openInterval(dev, startTime, stopTime);
810 438031 : if (myAggregate == AggregateType::YES) {
811 940 : writeAggregated(dev, startTime, stopTime);
812 437091 : } else if (myAggregate == AggregateType::TAZ) {
813 18 : writeAggregatedTAZ(dev, startTime, stopTime);
814 : } else {
815 : MSEdgeVector::const_iterator edge = myEdges.begin();
816 18326041 : for (const std::vector<MeanDataValues*>& measures : myMeasures) {
817 17888969 : writeEdge(dev, measures, *edge, startTime, stopTime);
818 : ++edge;
819 : }
820 : }
821 876060 : dev.closeTag();
822 : }
823 : dev.flush();
824 : }
825 :
826 :
827 : void
828 23258 : MSMeanData::writeXMLDetectorProlog(OutputDevice& dev) const {
829 46516 : dev.writeXMLHeader("meandata", "meandata_file.xsd");
830 23258 : }
831 :
832 :
833 : void
834 26440570 : MSMeanData::detectorUpdate(const SUMOTime step) {
835 26440570 : if (step + DELTA_T == myDumpBegin) {
836 639 : init();
837 : }
838 26440570 : }
839 :
840 :
841 : const std::vector<MSMeanData::MeanDataValues*>*
842 0 : MSMeanData::getEdgeValues(const MSEdge* edge) const {
843 : auto it = myEdgeIndex.find(edge);
844 0 : if (it != myEdgeIndex.end()) {
845 0 : return &myMeasures[it->second];
846 : } else {
847 : return nullptr;
848 : }
849 : }
850 :
851 :
852 : const std::vector<MSMoveReminder*>
853 1 : MSMeanData::getReminders() const {
854 : std::vector<MSMoveReminder*> result;
855 45 : for (auto vec : myMeasures) {
856 44 : result.insert(result.end(), vec.begin(), vec.end());
857 44 : }
858 1 : return result;
859 0 : }
860 :
861 :
862 : /****************************************************************************/
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