Add MoST scenario

gen/MoSTScenario/.gitignore

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+*.log
+out/*

gen/MoSTScenario/CONTRIBUTORS.md

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+# Contributors
+
+- Lara CODECA:
+  - EURECOM: from June 2017 until May 2019 this project was partially funded by the French Government (National Research Agency, ANR) through the 'Investments for the Future', ref. #ANR-11-LABX-0031-01
+  - Trinity College Dublin: from July 2019 this project was partially funded by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 713567, and ENABLE, which is funded under Science Foundation Ireland (16/SP/3804) and is co-funded under the European Regional Development Fund.

gen/MoSTScenario/README.md

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+# Monaco SUMO Traffic (MoST) Scenario
+
+Contacts: Lara CODECA [[email protected]], Jerome HAERRI [[email protected]]
+
+This project is licensed under the terms of the GPLv3 license.
+
+MoST Scenario is meant to be used with SUMO (Simulator of Urban MObility).
+
+* The master is tested with the development version of [SUMO](https://github.com/eclipse/sumo)
+* The released versions have been tested with [SUMO 1.0.1](https://github.com/eclipse/sumo/tree/v1_0_1), [SUMO 1.1.0](https://github.com/eclipse/sumo/tree/v1_1_0), and [SUMO 1.2.0](https://github.com/eclipse/sumo/tree/v1_2_0).
+* In case there are problems with multi-threading, check that [Issue #4518](https://github.com/eclipse/sumo/issues/4518) has been solved in your target version.
+
+Please refer to the [SUMO wiki](http://sumo.dlr.de/wiki/Simulation_of_Urban_MObility_-_Wiki) for further information on the simulator itself.
+
+## How to cite it: [BibTeX](cite.bib)
+
+L. Codeca, J. Härri,
+*"Towards Multimodal Mobility Simulation of C-ITS: The Monaco SUMO Traffic Scenario"*
+VNC 2017, IEEE Vehicular Networking Conference
+November 27-29, 2017, Torino, Italy.
+
+or
+
+L. Codeca, J. Härri,
+*"Monaco SUMO Traffic (MoST) Scenario: A 3D Mobility Scenario for Cooperative ITS"*
+SUMO 2018, SUMO User Conference, Simulating Autonomous and Intermodal Transport Systems
+May 14-16, 2018, Berlin, Germany
+
+## How To
+
+MoST Scenario can be lunched directly with its configuration file.
+
+* `sumo -c most.sumocfg` or `run.sh` from the _scenario_ folder.
+
+See [tools HOWTO](tools/HOWTO.md) for further details on how to chance and rebuild the scenario.
+
+### Overview
+
+![MoST Scenario Overview](MoSTScenario.png)
+
+### Mobility Example
+
+[![Mobility Example](https://img.youtube.com/vi/nFVhodnJKws/0.jpg)](https://www.youtube.com/watch?v=nFVhodnJKws)
+(click on the image for the video)
+
+### Traffic Light Example
+
+[![Traffic Light Example](https://img.youtube.com/vi/Wwp_riSsLAs/0.jpg)](https://www.youtube.com/watch?v=Wwp_riSsLAs)
+(click on the image for the video)
+
+### Public Transportation Example
+
+[![Public Transportation Example](https://img.youtube.com/vi/r7iE3LRiSNA/0.jpg)](https://www.youtube.com/watch?v=r7iE3LRiSNA)
+(click on the image for the video)
+
+## The master is tested with
+
+### Eclipse SUMO Version 1.3.1
+
+(Build features: Linux-5.0.0-25-generic x86_64 GNU 8.3.0 Release Proj GUI GDAL FFmpeg GL2PS SWIG)
+
+```
+Performance: 
+ Duration: 3614643ms
+ Real time factor: 9.95949
+ UPS: 335528.498942
+Vehicles: 
+ Inserted: 46842
+ Running: 31
+ Waiting: 0
+Teleports: 733 (Jam: 322, Yield: 286, Wrong Lane: 125)
+Emergency Stops: 11
+Persons: 
+ Inserted: 45000
+ Running: 25
+ Jammed: 1378
+Statistics (avg):
+ RouteLength: 6962.24
+ Duration: 6476.63
+ WaitingTime: 101.71
+ TimeLoss: 232.06
+ DepartDelay: 0.81
+Pedestrian Statistics (avg of 31422 walks):
+ RouteLength: 452.56
+ Duration: 384.19
+ TimeLoss: 54.32
+Ride Statistics (avg of 45217 rides):
+ WaitingTime: 45.33
+ RouteLength: 6184.19
+ Duration: 709.95
+ Bus: 5967
+ Train: 0
+ Bike: 3455
+ Aborted: 0
+```
+
+### [Release v0.6](https://github.com/lcodeca/MoSTScenario/releases/tag/v0.6) is tested with:
+
+#### Eclipse SUMO Version 1.2.0
+
+(Build features: Linux-4.19.0-4-amd64 x86_64 GNU 8.3.0 Release Proj GUI GDAL FFmpeg OSG GL2PS SWIG)
+
+```
+Performance:
+ Duration: 8071937ms
+ Real time factor: 4.4599
+ UPS: 151124.323691
+Vehicles:
+ Inserted: 46809 (Loaded: 46810)
+ Running: 31
+ Waiting: 0
+Teleports: 1151 (Jam: 462, Yield: 504, Wrong Lane: 185)
+Emergency Stops: 6
+Persons:
+ Inserted: 45000
+ Running: 0
+ Jammed: 1260
+Statistics (avg):
+ RouteLength: ... TBD
+ Duration: 6518.88
+ WaitingTime: 130.35
+ TimeLoss: 268.94
+ DepartDelay: 0.83
+Pedestrian Statistics (avg of 31495 walks):
+ RouteLength: 447.76
+ Duration: 381.52
+ TimeLoss: 54.46
+Ride Statistics (avg of 45362 rides):
+ WaitingTime: 50.99
+ RouteLength: 6237.22
+ Duration: 750.87
+ Bus: 6131
+ Train: 1
+ Bike: 3395
+ Aborted: 0
+```
+
+#### Eclipse SUMO Version 1.1.0
+
+(Build features: Linux-4.19.0-4-amd64 x86_64 GNU 8.3.0 Release Proj GUI GDAL FFmpeg OSG GL2PS SWIG)
+
+```
+Performance:
+ Duration: 7509321ms
+ Real time factor: 4.79404
+ UPS: 162345.771475
+Vehicles:
+ Inserted: 46810
+ Running: 31
+ Waiting: 0
+Teleports: 566 (Jam: 182, Yield: 275, Wrong Lane: 109)
+Emergency Stops: 12
+Persons:
+ Inserted: 45000
+ Running: 0
+ Jammed: 793
+Statistics (avg):
+ RouteLength: 7474.31
+ Duration: 6514.68
+ WaitingTime: 85.81
+ TimeLoss: 217.45
+ DepartDelay: 0.57
+Pedestrian Statistics (avg of 31495 walks):
+ RouteLength: 342.99
+ Duration: 292.18
+ TimeLoss: 41.27
+Ride Statistics (avg of 45362 rides):
+ WaitingTime: 48.07
+ RouteLength: 6640.66
+ Duration: 735.61
+ Bus: 6131
+ Train: 1
+ Bike: 3395
+ Aborted: 0
+ ```
+
+### Users
+
+* Vincent Terrier, Aerospace System Design Laboratory, Georgia Institute of Technology, Atlanta, GA 30332-0105
+* Tianshu Chu, Civil and Environmental Engineering, Stanford University
+
+If you are using MoST Scenario, or its tools to generate a new one, we would gladly add you to the list.
+You can send an e-mail to [email protected] with your name and affiliation (if any).

gen/MoSTScenario/cite.bib

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+@inproceedings{MoSTCodeca2017,
+  doi =         {http://dx.doi.org/10.1109/VNC.2017.8275627},
+  year =        {2017},
+  title =       {{T}owards multimodal mobility simulation of {C}-{ITS}: {T}he {M}onaco {SUMO} traffic scenario},
+  author =      {{C}odeca, {L}ara and  {H}{\"a}rri, {J}{\'e}r{\^o}me},
+  booktitle =   {{VNC} 2017, {IEEE} {V}ehicular {N}etworking {C}onference, {N}ovember 27-29, 2017, {T}orino, {I}taly },
+  address =     {{T}orino, {ITALY}},
+  month =       {11}
+}
+
+@inproceedings{MoSTCodeca2018,
+  year =        {2018},
+  title =       {{M}onaco {SUMO} {T}raffic ({M}o{ST}) {S}cenario: {A} 3{D} {M}obility {S}cenario for {C}ooperative {ITS}},
+  author =      {{C}odeca, {L}ara and  {H}{\"a}rri, {J}{\'e}r{\^o}me},
+  booktitle =   {{SUMO} 2018, {SUMO} {U}ser {C}onference, {S}imulating {A}utonomous and {I}ntermodal {T}ransport {S}ystems, {M}ay 14-16, 2018, {B}erlin, {G}ermany},
+  address =     {{B}erlin, {GERMANY}},
+  month =       {05}
+}

gen/MoSTScenario/scenario/in/add/basic.vType.xml

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+<!--
+    Monaco SUMO Traffic (MoST) Scenario
+    Copyright (C) 2019
+    Lara CODECA
+
+    This program is free software: you can redistribute it and/or modify
+    it under the terms of the GNU General Public License as published by
+    the Free Software Foundation, either version 3 of the License, or
+    (at your option) any later version.
+
+    This program is distributed in the hope that it will be useful,
+    but WITHOUT ANY WARRANTY; without even the implied warranty of
+    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+    GNU General Public License for more details.
+
+    You should have received a copy of the GNU General Public License
+    along with this program.  If not, see <http://www.gnu.org/licenses/>.
+-->
+
+<routes>
+  <!-- Public Transports -->
+  <vType vClass="bus"  id="bus"   personCapacity="50" latAlignment="center" tau="0.5" speedDev="0.1" lcCooperative="0.0">
+    <param key="has.rerouting.device" value="false"/>
+  </vType>
+  <vType vClass="rail" id="train" personCapacity="500">
+    <param key="has.rerouting.device" value="false"/>
+  </vType>
+
+  <vTypeDistribution id="on-demand">
+    <vType vClass="taxi"       id="taxi"  personCapacity="4" latAlignment="center" probability=".50" tau="0.5" speedDev="0.1"/>
+    <vType vClass="passenger"  id="uber"  personCapacity="8" latAlignment="center" probability=".50" tau="0.5" speedDev="0.1"/>
+  </vTypeDistribution>
+
+  <!-- Vulnerable Road Users -->
+  <vTypeDistribution id="pedestrian">
+    <vType vClass="pedestrian"   id="slowpedestrian"  maxSpeed="1.0" latAlignment="compact" probability=".33"/>
+    <vType vClass="pedestrian"   id="avgpedestrian"   maxSpeed="1.5" latAlignment="compact" probability=".33"/>
+    <vType vClass="pedestrian"   id="fastpedestrian"  maxSpeed="2.0" latAlignment="compact" probability=".33"/>
+  </vTypeDistribution>
+  <vTypeDistribution id="bicycle">
+    <vType vClass="bicycle"      id="slowbicycle"     maxSpeed="4.2" latAlignment="compact" probability=".33"/>
+    <vType vClass="bicycle"      id="avgbicycle"      maxSpeed="5.5" latAlignment="compact" probability=".33"/>
+    <vType vClass="bicycle"      id="fastbicycle"     maxSpeed="6.9" latAlignment="compact" probability=".33"/>
+  </vTypeDistribution>
+
+  <!-- Normal vehicles -->
+  <vTypeDistribution id="ptw">
+    <vType vClass="motorcycle" id="motorcycle"  personCapacity="2" latAlignment="arbitrary" lcPushy="1.0" minGapLat="0.5" probability=".70" tau="0.5" speedDev="0.1"/>
+    <vType vClass="moped"      id="moped"       personCapacity="1" latAlignment="arbitrary" lcPushy="1.0" minGapLat="0.5" probability=".30" tau="0.5" speedDev="0.1"/>
+  </vTypeDistribution>
+  <vTypeDistribution id="passenger">
+    <vType vClass="passenger"  id="passenger1"  personCapacity="4" latAlignment="center" sigma="0.25" probability=".20" tau="0.5" speedDev="0.1" guiShape="passenger"/>
+    <vType vClass="passenger"  id="passenger2a" personCapacity="4" latAlignment="center" sigma="0.30" probability=".20" tau="0.5" speedDev="0.1" guiShape="passenger/sedan"/>
+    <vType vClass="passenger"  id="passenger2b" personCapacity="4" latAlignment="center" sigma="0.35" probability=".20" tau="0.5" speedDev="0.1" guiShape="passenger/hatchback"/>
+    <vType vClass="passenger"  id="passenger3"  personCapacity="6" latAlignment="center" sigma="0.40" probability=".20" tau="0.5" speedDev="0.1" guiShape="passenger/wagon"/>
+    <vType vClass="passenger"  id="passenger4"  personCapacity="6" latAlignment="center" sigma="0.50" probability=".20" tau="0.5" speedDev="0.1" guiShape="passenger/van"/>
+  </vTypeDistribution>
+
+  <!-- Special vehicles -->
+  <vTypeDistribution id="special">
+    <vType vClass="emergency" id="emergency" latAlignment="center" probability=".60" tau="0.5" speedDev="0.1"/>
+    <vType vClass="authority" id="authority" latAlignment="center" probability=".39" tau="0.5" speedDev="0.1"/>
+    <vType vClass="army"      id="army"      latAlignment="center" probability=".01" tau="0.5" speedDev="0.1"/>
+  </vTypeDistribution>
+
+  <!-- Other vehicles -->
+  <vTypeDistribution id="commercial">
+    <vType vClass="delivery"   id="delivery"    containerCapacity="15" latAlignment="center" probability=".75" tau="0.5" speedDev="0.1" lcCooperative="0.0"/>
+    <vType vClass="truck"      id="truck"       containerCapacity="5"  latAlignment="center" probability=".05" tau="0.5" speedDev="0.1" lcCooperative="0.0"/>
+    <vType vClass="trailer"    id="trailer"     containerCapacity="5"  latAlignment="center" probability=".10" tau="0.5" speedDev="0.1" lcCooperative="0.0"/>
+    <vType vClass="coach"      id="coach"       containerCapacity="50" latAlignment="center" probability=".10" tau="0.5" speedDev="0.1" lcCooperative="0.0"/>
+  </vTypeDistribution>
+
+  <vType vClass="evehicle"     id="evehicle"    personCapacity="4"     latAlignment="center" tau="0.5" speedDev="0.1"/>
+</routes>