Line data Source code
1 : /****************************************************************************/
2 : // Eclipse SUMO, Simulation of Urban MObility; see https://eclipse.dev/sumo
3 : // Copyright (C) 2001-2025 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 9043179 : MSMeanData::MeanDataValues::MeanDataValues(
61 : MSLane* const lane, const double length, const bool doAdd,
62 9043179 : const MSMeanData* const parent) :
63 18086358 : MSMoveReminder("meandata_" + (parent == nullptr ? "" : parent->getID() + "|") + (lane == nullptr ? "NULL" : lane->getID()), lane, doAdd),
64 9043179 : myParent(parent),
65 9043179 : myLaneLength(length),
66 9043179 : sampleSeconds(0),
67 27129537 : travelledDistance(0) { }
68 :
69 :
70 8971941 : MSMeanData::MeanDataValues::~MeanDataValues() {
71 8971941 : }
72 :
73 :
74 : bool
75 690082 : 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 690082 : return myParent == nullptr || myParent->vehicleApplies(veh);
83 : }
84 :
85 :
86 : bool
87 458643388 : 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 458643388 : const double oldSpeed = veh.getPreviousSpeed();
91 458643388 : 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 458643388 : double timeOnLane = TS;
96 458643388 : 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 458643388 : 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 458643388 : if (oldPos < 0 && newPos >= 0) {
107 : // Vehicle was not on this lane in the last time step
108 10085788 : timeBeforeEnter = MSCFModel::passingTime(oldPos, 0, newPos, oldSpeed, newSpeed);
109 10085788 : timeOnLane = TS - timeBeforeEnter;
110 : frontOnLane = timeOnLane;
111 10085788 : enterSpeed = MSCFModel::speedAfterTime(timeBeforeEnter, oldSpeed, newPos - oldPos);
112 : }
113 :
114 458643388 : const double oldBackPos = oldPos - veh.getVehicleType().getLength();
115 458643388 : const double newBackPos = newPos - veh.getVehicleType().getLength();
116 :
117 : // Determine the time before the vehicle back enters
118 458643388 : if (oldBackPos < 0. && newBackPos > 0.) {
119 10336037 : timeBeforeEnterBack = MSCFModel::passingTime(oldBackPos, 0., newBackPos, oldSpeed, newSpeed);
120 448307351 : } else if (newBackPos <= 0) {
121 6740806 : 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 458643388 : if (newBackPos > myLaneLength // vehicle's back has left the lane
128 11552057 : && 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 11552057 : timeBeforeLeave = MSCFModel::passingTime(oldBackPos, myLaneLength, newBackPos, oldSpeed, newSpeed);
132 11552057 : const double timeAfterLeave = TS - timeBeforeLeave;
133 11552057 : timeOnLane -= timeAfterLeave;
134 11552057 : leaveSpeed = MSCFModel::speedAfterTime(timeBeforeLeave, oldSpeed, newPos - oldPos);
135 : // XXX: Do we really need this? Why would this "reduce rounding errors"? (Leo) Refs. #2579
136 11552057 : if (fabs(timeOnLane) < NUMERICAL_EPS) { // reduce rounding errors
137 : timeOnLane = 0.;
138 : }
139 11552057 : ret = veh.hasArrived();
140 : }
141 :
142 : // Treat the case that the vehicle's front left the lane in the last step
143 458643388 : 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 12566188 : timeBeforeLeaveFront = MSCFModel::passingTime(oldPos, myLaneLength, newPos, oldSpeed, newSpeed);
147 12566188 : const double timeAfterLeave = TS - timeBeforeLeaveFront;
148 12566188 : frontOnLane -= timeAfterLeave;
149 : // XXX: Do we really need this? Why would this "reduce rounding errors"? (Leo) Refs. #2579
150 12566188 : if (fabs(frontOnLane) < NUMERICAL_EPS) { // reduce rounding errors
151 : frontOnLane = 0.;
152 : }
153 12566188 : leaveSpeedFront = MSCFModel::speedAfterTime(timeBeforeLeaveFront, oldSpeed, newPos - oldPos);
154 : }
155 :
156 : assert(frontOnLane <= TS);
157 : assert(timeOnLane <= TS);
158 :
159 458643388 : 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 458643388 : if (timeOnLane == 0) {
164 20737 : 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 458622651 : double vehLength = veh.getVehicleType().getLength();
192 : // occupied lane length at timeBeforeEnter (resp. stepStart if already on lane)
193 458622651 : double lengthOnLaneAtStepStart = MAX2(0., MIN4(myLaneLength, vehLength, vehLength - (oldPos - myLaneLength), oldPos));
194 : // occupied lane length at timeBeforeLeave (resp. stepEnd if still on lane)
195 458622651 : double lengthOnLaneAtStepEnd = MAX2(0., MIN4(myLaneLength, vehLength, vehLength - (newPos - myLaneLength), newPos));
196 : double integratedLengthOnLane = 0.;
197 458622651 : if (timeBeforeEnterBack < timeBeforeLeaveFront) {
198 : // => timeBeforeLeaveFront>0, myLaneLength>vehLength
199 : // vehicle length on detector at timeBeforeEnterBack
200 445654833 : double lengthOnLaneAtBackEnter = MIN2(veh.getVehicleType().getLength(), newPos);
201 : // linear quadrature of occupancy between timeBeforeEnter and timeBeforeEnterBack
202 445654833 : 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 445654833 : integratedLengthOnLane += (timeBeforeLeaveFront - timeBeforeEnterBack) * vehLength;
206 : // and until vehicle leaves/stepEnd
207 445654833 : integratedLengthOnLane += (timeBeforeLeave - timeBeforeLeaveFront) * (vehLength + lengthOnLaneAtStepEnd) * 0.5;
208 12967818 : } else if (timeBeforeEnterBack >= timeBeforeLeaveFront) {
209 : // => myLaneLength <= vehLength or (timeBeforeLeaveFront == timeBeforeEnterBack == 0)
210 : // vehicle length on detector at timeBeforeLeaveFront
211 : double lengthOnLaneAtLeaveFront;
212 12967818 : if (timeBeforeLeaveFront == timeBeforeEnter) {
213 : // for the case that front already left
214 : lengthOnLaneAtLeaveFront = lengthOnLaneAtStepStart;
215 6764757 : } 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 12967818 : integratedLengthOnLane += (timeBeforeLeaveFront - timeBeforeEnter) * (lengthOnLaneAtLeaveFront + lengthOnLaneAtStepStart) * 0.5;
226 : // linear quadrature of occupancy between timeBeforeLeaveFront and timeBeforeEnterBack
227 12967818 : integratedLengthOnLane += (timeBeforeEnterBack - timeBeforeLeaveFront) * lengthOnLaneAtLeaveFront;
228 : // and until vehicle leaves/stepEnd
229 12967818 : integratedLengthOnLane += (timeBeforeLeave - timeBeforeEnterBack) * (lengthOnLaneAtLeaveFront + lengthOnLaneAtStepEnd) * 0.5;
230 : }
231 :
232 458622651 : 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 458622651 : const double travelledDistanceFrontOnLane = MSGlobals::gSemiImplicitEulerUpdate ? frontOnLane * newSpeed
244 162224006 : : MAX2(0., MIN2(newPos, myLaneLength) - MAX2(oldPos, 0.));
245 539734654 : const double travelledDistanceVehicleOnLane = MSGlobals::gSemiImplicitEulerUpdate ? timeOnLane * newSpeed
246 162224006 : : 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 458622651 : ScopedLocker<> lock(myNotificationMutex, MSGlobals::gNumSimThreads > 1);
253 : #endif
254 458622651 : notifyMoveInternal(veh, frontOnLane, timeOnLane, (enterSpeed + leaveSpeedFront) / 2., (enterSpeed + leaveSpeed) / 2., travelledDistanceFrontOnLane, travelledDistanceVehicleOnLane, meanLengthOnLane);
255 : return ret;
256 : }
257 :
258 :
259 : bool
260 1179410 : MSMeanData::MeanDataValues::notifyLeave(SUMOTrafficObject& /*veh*/, double /*lastPos*/, MSMoveReminder::Notification reason, const MSLane* /* enteredLane */) {
261 1179410 : if (MSGlobals::gUseMesoSim) {
262 : return false; // reminder is re-added on every segment (@recheck for performance)
263 : }
264 1024882 : return reason == MSMoveReminder::NOTIFICATION_JUNCTION;
265 : }
266 :
267 :
268 : bool
269 2951361 : MSMeanData::MeanDataValues::isEmpty() const {
270 2951361 : return sampleSeconds == 0;
271 : }
272 :
273 :
274 : void
275 0 : MSMeanData::MeanDataValues::update() {
276 0 : }
277 :
278 :
279 : double
280 967450 : MSMeanData::MeanDataValues::getSamples() const {
281 967450 : 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(new TrackerEntry(parent->createValues(lane, length, false)));
293 2744 : }
294 :
295 :
296 5488 : MSMeanData::MeanDataValueTracker::~MeanDataValueTracker() {
297 : std::list<TrackerEntry*>::iterator i;
298 29072 : for (i = myCurrentData.begin(); i != myCurrentData.end(); i++) {
299 26328 : delete *i;
300 : }
301 :
302 : // FIXME: myTrackedData may still hold some undeleted TrackerEntries. When to delete those? (Leo), refers to #2251
303 : // code below fails
304 :
305 : // std::map<SUMOTrafficObject*, TrackerEntry*>::iterator j;
306 : // for(j=myTrackedData.begin(); j!=myTrackedData.end();j++){
307 : // delete j->second;
308 : // }
309 5488 : }
310 :
311 :
312 : void
313 164304 : MSMeanData::MeanDataValueTracker::reset(bool afterWrite) {
314 164304 : if (afterWrite) {
315 70360 : if (myCurrentData.begin() != myCurrentData.end()) {
316 : // delete myCurrentData.front();
317 70360 : myCurrentData.pop_front();
318 : }
319 : } else {
320 93944 : myCurrentData.push_back(new TrackerEntry(myParent->createValues(myLane, myLaneLength, false)));
321 : }
322 164304 : }
323 :
324 :
325 : void
326 0 : MSMeanData::MeanDataValueTracker::addTo(MSMeanData::MeanDataValues& val) const {
327 0 : myCurrentData.front()->myValues->addTo(val);
328 0 : }
329 :
330 :
331 : void
332 15022 : 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) {
333 15022 : myTrackedData[&veh]->myValues->notifyMoveInternal(veh, frontOnLane, timeOnLane, meanSpeedFrontOnLane, meanSpeedVehicleOnLane, travelledDistanceFrontOnLane, travelledDistanceVehicleOnLane, meanLengthOnLane);
334 15022 : }
335 :
336 :
337 : bool
338 784 : MSMeanData::MeanDataValueTracker::notifyLeave(SUMOTrafficObject& veh, double lastPos, MSMoveReminder::Notification reason, const MSLane* /* enteredLane */) {
339 784 : if (myParent == nullptr || reason != MSMoveReminder::NOTIFICATION_SEGMENT) {
340 384 : myTrackedData[&veh]->myNumVehicleLeft++;
341 : }
342 784 : return myTrackedData[&veh]->myValues->notifyLeave(veh, lastPos, reason);
343 : }
344 :
345 :
346 : bool
347 3400 : MSMeanData::MeanDataValueTracker::notifyEnter(SUMOTrafficObject& veh, MSMoveReminder::Notification reason, const MSLane* enteredLane) {
348 : #ifdef DEBUG_NOTIFY_ENTER
349 : std::cout << "\n" << SIMTIME << " MSMeanData::MeanDataValueTracker: veh '" << veh.getID() << "' enters lane '" << enteredLane->getID() << "'" << std::endl;
350 : #else
351 : UNUSED_PARAMETER(enteredLane);
352 : #endif
353 3400 : if (reason == MSMoveReminder::NOTIFICATION_SEGMENT) {
354 : return true;
355 : }
356 5768 : if (myParent->vehicleApplies(veh) && myTrackedData.find(&veh) == myTrackedData.end()) {
357 504 : myTrackedData[&veh] = myCurrentData.back();
358 504 : myTrackedData[&veh]->myNumVehicleEntered++;
359 504 : if (!myTrackedData[&veh]->myValues->notifyEnter(veh, reason)) {
360 0 : myTrackedData[&veh]->myNumVehicleLeft++;
361 0 : myTrackedData.erase(&veh);
362 0 : return false;
363 : }
364 : return true;
365 : }
366 : return false;
367 : }
368 :
369 :
370 : bool
371 91696 : MSMeanData::MeanDataValueTracker::isEmpty() const {
372 91696 : return myCurrentData.front()->myValues->isEmpty();
373 : }
374 :
375 :
376 : void
377 368 : MSMeanData::MeanDataValueTracker::write(OutputDevice& dev,
378 : const SumoXMLAttrMask& attributeMask,
379 : const SUMOTime period,
380 : const int numLanes,
381 : const double speedLimit,
382 : const double defaultTravelTime,
383 : const int /*numVehicles*/) const {
384 368 : myCurrentData.front()->myValues->write(dev, attributeMask, period, numLanes, speedLimit,
385 : defaultTravelTime,
386 : myCurrentData.front()->myNumVehicleEntered);
387 368 : }
388 :
389 :
390 : int
391 63116 : MSMeanData::MeanDataValueTracker::getNumReady() const {
392 : int result = 0;
393 1445056 : for (std::list<TrackerEntry*>::const_iterator it = myCurrentData.begin(); it != myCurrentData.end(); ++it) {
394 1384592 : if ((*it)->myNumVehicleEntered == (*it)->myNumVehicleLeft) {
395 1381940 : result++;
396 : } else {
397 : break;
398 : }
399 : }
400 63116 : return result;
401 : }
402 :
403 :
404 : double
405 368 : MSMeanData::MeanDataValueTracker::getSamples() const {
406 368 : return myCurrentData.front()->myValues->getSamples();
407 : }
408 :
409 :
410 : // ---------------------------------------------------------------------------
411 : // MSMeanData - methods
412 : // ---------------------------------------------------------------------------
413 21376 : MSMeanData::MSMeanData(const std::string& id,
414 : const SUMOTime dumpBegin, const SUMOTime dumpEnd,
415 : const bool useLanes, const bool withEmpty,
416 : const bool printDefaults, const bool withInternal,
417 : const bool trackVehicles,
418 : const int detectPersons,
419 : const double maxTravelTime,
420 : const double minSamples,
421 : const std::string& vTypes,
422 : const std::string& writeAttributes,
423 : const std::vector<MSEdge*>& edges,
424 21376 : AggregateType aggregate) :
425 : MSDetectorFileOutput(id, vTypes, "", detectPersons),
426 21376 : myMinSamples(minSamples),
427 21376 : myMaxTravelTime(maxTravelTime),
428 21376 : myDumpEmpty(withEmpty),
429 21376 : myAmEdgeBased(!useLanes),
430 21376 : myDumpBegin(dumpBegin),
431 21376 : myDumpEnd(dumpEnd),
432 21376 : myInitTime(SUMOTime_MAX),
433 21376 : myEdges(edges),
434 21376 : myPrintDefaults(printDefaults),
435 21376 : myDumpInternal(withInternal && MSGlobals::gUsingInternalLanes),
436 21376 : myTrackVehicles(trackVehicles),
437 85504 : myWrittenAttributes(OutputDevice::parseWrittenAttributes(StringTokenizer(writeAttributes).getVector(), "meandata '" + id + "'")),
438 64128 : myAggregate(aggregate)
439 21376 : { }
440 :
441 :
442 : void
443 20235 : MSMeanData::init() {
444 20235 : myInitTime = MSNet::getInstance()->getCurrentTimeStep();
445 20235 : if (myEdges.empty()) {
446 : // use all edges by default
447 706711 : for (MSEdge* const edge : MSNet::getInstance()->getEdgeControl().getEdges()) {
448 686541 : if ((myDumpInternal || !edge->isInternal()) &&
449 457956 : ((detectsPersons() && myDumpInternal) || (!edge->isCrossing() && !edge->isWalkingArea()))) {
450 315042 : myEdges.push_back(edge);
451 : }
452 : }
453 : }
454 : int index = 0;
455 335386 : for (MSEdge* edge : myEdges) {
456 315151 : myMeasures.push_back(std::vector<MeanDataValues*>());
457 315151 : myEdgeIndex[edge] = index++;
458 315151 : const std::vector<MSLane*>& lanes = edge->getLanes();
459 315151 : if (MSGlobals::gUseMesoSim) {
460 : MeanDataValues* data;
461 29181 : if (!myAmEdgeBased) {
462 85 : for (MSLane* const lane : lanes) {
463 52 : data = createValues(lane, lanes[0]->getLength(), false);
464 52 : myMeasures.back().push_back(data);
465 52 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
466 310 : while (s != nullptr) {
467 258 : s->addDetector(data, lane->getIndex());
468 258 : s->prepareDetectorForWriting(*data, lane->getIndex());
469 : s = s->getNextSegment();
470 : }
471 52 : data->reset();
472 52 : data->reset(true);
473 : }
474 : } else {
475 29148 : if (myTrackVehicles) {
476 880 : data = new MeanDataValueTracker(nullptr, lanes[0]->getLength(), this);
477 : } else {
478 28268 : data = createValues(nullptr, lanes[0]->getLength(), false);
479 : }
480 58296 : data->setDescription("meandata_" + getID() + "|" + edge->getID());
481 29148 : myMeasures.back().push_back(data);
482 29148 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
483 148456 : while (s != nullptr) {
484 119308 : s->addDetector(data);
485 119308 : s->prepareDetectorForWriting(*data);
486 : s = s->getNextSegment();
487 : }
488 29148 : data->reset();
489 29148 : data->reset(true);
490 : }
491 : continue;
492 29181 : }
493 285970 : if (myAmEdgeBased && myTrackVehicles) {
494 936 : myMeasures.back().push_back(new MeanDataValueTracker(nullptr, lanes[0]->getLength(), this));
495 : }
496 741260 : for (MSLane* const lane : lanes) {
497 455290 : if (myTrackVehicles) {
498 2016 : if (myAmEdgeBased) {
499 1088 : lane->addMoveReminder(myMeasures.back().back());
500 : } else {
501 928 : myMeasures.back().push_back(new MeanDataValueTracker(lane, lane->getLength(), this));
502 : }
503 : } else {
504 453274 : myMeasures.back().push_back(createValues(lane, lane->getLength(), true));
505 : }
506 : }
507 : }
508 20235 : if (myAggregate == AggregateType::TAZ) {
509 450 : for (const MSEdge* e : MSEdge::getAllEdges()) {
510 444 : if (e->isTazConnector()) {
511 180 : myTAZ.push_back(e);
512 : }
513 : }
514 : }
515 20235 : }
516 :
517 :
518 21327 : MSMeanData::~MSMeanData() {
519 336001 : for (std::vector<std::vector<MeanDataValues*> >::const_iterator i = myMeasures.begin(); i != myMeasures.end(); ++i) {
520 798135 : for (std::vector<MeanDataValues*>::const_iterator j = (*i).begin(); j != (*i).end(); ++j) {
521 483461 : delete *j;
522 : }
523 : }
524 21327 : }
525 :
526 :
527 : void
528 12645 : MSMeanData::resetOnly(SUMOTime stopTime) {
529 : UNUSED_PARAMETER(stopTime);
530 12645 : if (MSGlobals::gUseMesoSim) {
531 : MSEdgeVector::iterator edge = myEdges.begin();
532 117300 : for (std::vector<std::vector<MeanDataValues*> >::const_iterator i = myMeasures.begin(); i != myMeasures.end(); ++i, ++edge) {
533 113716 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(**edge);
534 227432 : for (MeanDataValues* data : *i) {
535 602292 : while (s != nullptr) {
536 488576 : s->prepareDetectorForWriting(*data);
537 : s = s->getNextSegment();
538 : }
539 113716 : data->reset();
540 : }
541 : }
542 : return;
543 : }
544 257304 : for (std::vector<std::vector<MeanDataValues*> >::const_iterator i = myMeasures.begin(); i != myMeasures.end(); ++i) {
545 529990 : for (std::vector<MeanDataValues*>::const_iterator j = (*i).begin(); j != (*i).end(); ++j) {
546 281747 : (*j)->reset();
547 : }
548 : }
549 : }
550 :
551 :
552 : std::string
553 9814550 : MSMeanData::getEdgeID(const MSEdge* const edge) {
554 9814550 : return edge->getID();
555 : }
556 :
557 :
558 : void
559 940 : MSMeanData::writeAggregated(OutputDevice& dev, SUMOTime startTime, SUMOTime stopTime) {
560 940 : if (myTrackVehicles) {
561 0 : throw ProcessError(TL("aggregated meanData output not yet implemented for trackVehicles"));
562 : }
563 :
564 : double edgeLengthSum = 0;
565 : int laneNumber = 0;
566 : double speedSum = 0;
567 : double totalTT = 0;
568 42172 : for (MSEdge* edge : myEdges) {
569 41232 : edgeLengthSum += edge->getLength();
570 41232 : laneNumber += edge->getNumDrivingLanes();
571 41232 : speedSum += edge->getSpeedLimit();
572 41232 : totalTT += edge->getLength() / edge->getSpeedLimit();
573 : }
574 940 : MeanDataValues* sumData = createValues(nullptr, edgeLengthSum, false);
575 42172 : for (const std::vector<MeanDataValues*>& edgeValues : myMeasures) {
576 82512 : for (MeanDataValues* meanData : edgeValues) {
577 41280 : meanData->addTo(*sumData);
578 41280 : if (!MSNet::getInstance()->skipFinalReset()) {
579 41280 : meanData->reset();
580 : }
581 : }
582 : }
583 940 : if (MSGlobals::gUseMesoSim) {
584 14040 : for (int i = 0; i < (int)myEdges.size(); i++) {
585 13728 : MSEdge* edge = myEdges[i];
586 : std::vector<MeanDataValues*>& edgeValues = myMeasures[i];
587 13728 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
588 68640 : while (s != nullptr) {
589 109824 : for (MeanDataValues* meanData : edgeValues) {
590 54912 : s->prepareDetectorForWriting(*meanData);
591 54912 : meanData->addTo(*sumData);
592 54912 : if (!MSNet::getInstance()->skipFinalReset()) {
593 54912 : meanData->reset();
594 : }
595 : }
596 : s = s->getNextSegment();
597 : }
598 : }
599 : }
600 :
601 1880 : if (writePrefix(dev, *sumData, SUMO_TAG_EDGE, "AGGREGATED")) {
602 934 : dev.writeAttr(SUMO_ATTR_NUMEDGES, myEdges.size());
603 934 : sumData->write(dev, myWrittenAttributes, stopTime - startTime, laneNumber, speedSum / (double)myEdges.size(),
604 934 : myPrintDefaults ? totalTT : -1.);
605 : }
606 940 : delete sumData;
607 940 : }
608 :
609 :
610 : void
611 18 : MSMeanData::writeAggregatedTAZ(OutputDevice& dev, SUMOTime startTime, SUMOTime stopTime) {
612 18 : if (myTrackVehicles) {
613 0 : throw ProcessError(TL("aggregated meanData output not yet implemented for trackVehicles"));
614 : }
615 :
616 558 : for (const MSEdge* taz : myTAZ) {
617 : double edgeLengthSum = 0;
618 : int laneNumber = 0;
619 : double speedSum = 0;
620 : double totalTT = 0;
621 : std::set<const MSEdge*> connected;
622 1332 : for (const MSEdge* edge : taz->getSuccessors()) {
623 : connected.insert(edge);
624 : }
625 1332 : for (const MSEdge* edge : taz->getPredecessors()) {
626 : connected.insert(edge);
627 : }
628 2124 : for (const MSEdge* edge : connected) {
629 1584 : edgeLengthSum += edge->getLength();
630 1584 : laneNumber += edge->getNumDrivingLanes();
631 1584 : speedSum += edge->getSpeedLimit();
632 1584 : totalTT += edge->getLength() / edge->getSpeedLimit();
633 : }
634 540 : MeanDataValues* sumData = createValues(nullptr, edgeLengthSum, false);
635 24300 : for (int i = 0; i < (int)myEdges.size(); i++) {
636 23760 : MSEdge* edge = myEdges[i];
637 : if (connected.count(edge) != 0) {
638 : std::vector<MeanDataValues*>& edgeValues = myMeasures[i];
639 1584 : if (MSGlobals::gUseMesoSim) {
640 528 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
641 2640 : while (s != nullptr) {
642 4224 : for (MeanDataValues* meanData : edgeValues) {
643 2112 : s->prepareDetectorForWriting(*meanData);
644 2112 : meanData->addTo(*sumData);
645 : }
646 : s = s->getNextSegment();
647 : }
648 : } else {
649 2112 : for (MeanDataValues* meanData : edgeValues) {
650 1056 : meanData->addTo(*sumData);
651 : }
652 : }
653 : }
654 : }
655 1620 : if (writePrefix(dev, *sumData, SUMO_TAG_EDGE, taz->getID())) {
656 72 : dev.writeAttr(SUMO_ATTR_NUMEDGES, connected.size());
657 72 : sumData->write(dev, myWrittenAttributes, stopTime - startTime, laneNumber, speedSum / (double)connected.size(),
658 72 : myPrintDefaults ? totalTT : -1.);
659 : }
660 540 : delete sumData;
661 : }
662 :
663 18 : if (!MSNet::getInstance()->skipFinalReset()) {
664 810 : for (const std::vector<MeanDataValues*>& edgeValues : myMeasures) {
665 1584 : for (MeanDataValues* meanData : edgeValues) {
666 792 : meanData->reset();
667 : }
668 : }
669 : }
670 18 : }
671 :
672 :
673 : void
674 17847724 : MSMeanData::writeEdge(OutputDevice& dev,
675 : const std::vector<MeanDataValues*>& edgeValues,
676 : const MSEdge* const edge, SUMOTime startTime, SUMOTime stopTime) {
677 17847724 : if (MSGlobals::gUseMesoSim) {
678 : int idx = 0;
679 2719305 : for (MeanDataValues* const data : edgeValues) {
680 1359676 : MESegment* s = MSGlobals::gMesoNet->getSegmentForEdge(*edge);
681 6992732 : while (s != nullptr) {
682 5633398 : s->prepareDetectorForWriting(*data, myAmEdgeBased ? -1 : idx);
683 : s = s->getNextSegment();
684 : }
685 1359676 : idx++;
686 : }
687 1359629 : if (myAmEdgeBased) {
688 1359582 : MeanDataValues* data = edgeValues.front();
689 2719164 : if (writePrefix(dev, *data, SUMO_TAG_EDGE, getEdgeID(edge))) {
690 59584 : data->write(dev, myWrittenAttributes, stopTime - startTime,
691 : edge->getNumDrivingLanes(),
692 : edge->getSpeedLimit(),
693 59584 : myPrintDefaults ? edge->getLength() / edge->getSpeedLimit() : -1.);
694 : }
695 1359582 : if (!MSNet::getInstance()->skipFinalReset()) {
696 1359582 : data->reset(true);
697 : }
698 : return;
699 : }
700 : }
701 : std::vector<MeanDataValues*>::const_iterator lane;
702 16488142 : if (!myAmEdgeBased) {
703 8007710 : bool writeCheck = myDumpEmpty;
704 8007710 : if (!writeCheck) {
705 15611260 : for (lane = edgeValues.begin(); lane != edgeValues.end(); ++lane) {
706 7912847 : if (!(*lane)->isEmpty()) {
707 : writeCheck = true;
708 : break;
709 : }
710 : }
711 : }
712 7901499 : if (writeCheck) {
713 309297 : dev.openTag(SUMO_TAG_EDGE).writeAttr(SUMO_ATTR_ID, edge->getID());
714 : }
715 16116569 : for (lane = edgeValues.begin(); lane != edgeValues.end(); ++lane) {
716 8108859 : MeanDataValues& meanData = **lane;
717 24326577 : if (writePrefix(dev, meanData, SUMO_TAG_LANE, meanData.getLane()->getID())) {
718 399032 : meanData.write(dev, myWrittenAttributes, stopTime - startTime, 1, meanData.getLane()->getSpeedLimit(),
719 399032 : myPrintDefaults ? meanData.getLane()->getLength() / meanData.getLane()->getSpeedLimit() : -1.);
720 : }
721 8108859 : if (!MSNet::getInstance()->skipFinalReset()) {
722 8108859 : meanData.reset(true);
723 : }
724 : }
725 8007710 : if (writeCheck) {
726 618594 : dev.closeTag();
727 : }
728 : } else {
729 8480432 : if (myTrackVehicles) {
730 22440 : MeanDataValues& meanData = **edgeValues.begin();
731 67320 : if (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 8457992 : MeanDataValues* sumData = createValues(nullptr, edge->getLength(), false);
740 17064782 : for (lane = edgeValues.begin(); lane != edgeValues.end(); ++lane) {
741 8606790 : MeanDataValues& meanData = **lane;
742 8606790 : meanData.addTo(*sumData);
743 8606790 : if (!MSNet::getInstance()->skipFinalReset()) {
744 8606790 : meanData.reset();
745 : }
746 : }
747 16915984 : if (writePrefix(dev, *sumData, SUMO_TAG_EDGE, getEdgeID(edge))) {
748 499234 : sumData->write(dev, myWrittenAttributes, stopTime - startTime, edge->getNumDrivingLanes(), edge->getSpeedLimit(),
749 499234 : myPrintDefaults ? edge->getLength() / edge->getSpeedLimit() : -1.);
750 : }
751 8457991 : delete sumData;
752 : }
753 : }
754 : }
755 :
756 :
757 : void
758 434202 : MSMeanData::openInterval(OutputDevice& dev, const SUMOTime startTime, const SUMOTime stopTime) {
759 868404 : dev.openTag(SUMO_TAG_INTERVAL).writeAttr(SUMO_ATTR_BEGIN, time2string(startTime)).writeAttr(SUMO_ATTR_END, time2string(stopTime));
760 434202 : dev.writeAttr(SUMO_ATTR_ID, myID);
761 434202 : }
762 :
763 :
764 : bool
765 17947329 : MSMeanData::writePrefix(OutputDevice& dev, const MeanDataValues& values, const SumoXMLTag tag, const std::string id) const {
766 17947329 : if (myDumpEmpty || !values.isEmpty()) {
767 956296 : dev.openTag(tag);
768 956296 : dev.writeAttr(SUMO_ATTR_ID, id);
769 956296 : dev.writeOptionalAttr(SUMO_ATTR_SAMPLEDSECONDS, values.getSamples(), myWrittenAttributes);
770 956296 : return true;
771 : }
772 : return false;
773 : }
774 :
775 :
776 : void
777 445511 : MSMeanData::writeXMLOutput(OutputDevice& dev,
778 : SUMOTime startTime, SUMOTime stopTime) {
779 : // check whether this dump shall be written for the current time
780 445511 : int numReady = myDumpBegin < stopTime && myDumpEnd - DELTA_T >= startTime ? 1 : 0;
781 445511 : 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 445511 : const bool partialInterval = startTime < myInitTime;
797 445511 : if (numReady == 0 || myTrackVehicles || partialInterval) {
798 12645 : resetOnly(stopTime);
799 : }
800 445511 : if (partialInterval) {
801 : return;
802 : }
803 879954 : while (numReady-- > 0) {
804 434454 : if (!myPendingIntervals.empty()) {
805 1588 : startTime = myPendingIntervals.front().first;
806 1588 : stopTime = myPendingIntervals.front().second;
807 1588 : myPendingIntervals.pop_front();
808 : }
809 434454 : openInterval(dev, startTime, stopTime);
810 434454 : if (myAggregate == AggregateType::YES) {
811 940 : writeAggregated(dev, startTime, stopTime);
812 433514 : } else if (myAggregate == AggregateType::TAZ) {
813 18 : writeAggregatedTAZ(dev, startTime, stopTime);
814 : } else {
815 : MSEdgeVector::const_iterator edge = myEdges.begin();
816 18281219 : for (const std::vector<MeanDataValues*>& measures : myMeasures) {
817 17847724 : writeEdge(dev, measures, *edge, startTime, stopTime);
818 : ++edge;
819 : }
820 : }
821 868906 : dev.closeTag();
822 : }
823 : dev.flush();
824 : }
825 :
826 :
827 : void
828 20215 : MSMeanData::writeXMLDetectorProlog(OutputDevice& dev) const {
829 40430 : dev.writeXMLHeader("meandata", "meandata_file.xsd");
830 20215 : }
831 :
832 :
833 : void
834 63052005 : MSMeanData::detectorUpdate(const SUMOTime step) {
835 63052005 : if (step + DELTA_T == myDumpBegin) {
836 639 : init();
837 : }
838 63052005 : }
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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