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Advances in reproducible simulation of parcel deliveries based on open data
Sebastian Hörl
7 March 2022
Séminaire SPLOTT
Classic transport planning
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- Zones
- Flows
- Peak hours
- User groups
Aggregated
Agent-based models
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0:00 - 8:00
08:30 - 17:00
17:30 - 0:00
0:00 - 9:00
10:00 - 17:30
17:45 - 21:00
22:00 - 0:00
- Discrete locations
- Individual travelers
- Individual behaviour
- Whole day analysis
Disaggregated
Icons on this and following slides: https://fontawesome.com
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MATSim
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- Flexible, extensible and well-tested open-source transport simulation framework
- Used by many research groups and companies all over the world
- Extensions for parking behaviour, signal control, location choice, freight, ...
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matsim-org/matsim-libs
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MATSim
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7900001/senozon.png)
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Synthetic demand
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MATSim
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Mobility simulation
Synthetic demand
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MATSim
Decision-making
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10:00 - 17:30
17:45 - 21:00
22:00 - 0:00
Mobility simulation
Synthetic demand
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MATSim
Decision-making
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Mobility simulation
Synthetic demand
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MATSim
Decision-making
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Mobility simulation
Analysis
Synthetic demand
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MATSim @ IRT SystemX
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- On-demand mobility simulation
- First/last mile mobility simulation
Passenger transport
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MATSim @ IRT SystemX
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- On-demand mobility simulation
- First/last mile mobility simulation
Passenger transport
Freight transport
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- First/last mile delivery
- VRP Solvers
- Development of electric VRP for JSprit
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LEAD Project
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Low-emission Adaptive last-mile logistics supporting on-demand economy through Digital Twins
- H2020 Project from 2020 to 2023
- Six living labs with different innovative logistics concepts
- Lyon, The Hague, Madrid, Budapest, Porto, Oslo
- One partner for implementation and one for research each
- Development of a generic modeling library for last-mile logistics scenario simulation and analysis
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Lyon Living Lab
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- Peninsula Confluence between Saône and Rhône
- Interesting use case as there are limited access points
- Implementation of an urban consolidation center (UCC) to collect the flow of goods and organize last-mile distribution
- using cargo-bikes
- using electric robots
- and others
- Analysis and modeling through
- Flow estimation through cameras
- Simulation of future scenarios
- Focus on parcel deliveries due to data availability
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Modeling methodology
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- Main question: What is the impact on traffic and population of implementing an Urban Consolidation Center in Confluence?
- Focus on B2C parcel deliveries due to data availability
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Modeling methodology
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Agent-based simulation of Lyon
- Main question: What is the impact on traffic and population of implementing an Urban Consolidation Center in Confluence?
- Focus on B2C parcel deliveries due to data availability
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Modeling methodology
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Agent-based simulation of Lyon
Demand in parcel deliveries
- Main question: What is the impact on traffic and population of implementing an Urban Consolidation Center in Confluence?
- Focus on B2C parcel deliveries due to data availability
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Modeling methodology
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Agent-based simulation of Lyon
Demand in parcel deliveries
Distribution by operators
- Main question: What is the impact on traffic and population of implementing an Urban Consolidation Center in Confluence?
- Focus on B2C parcel deliveries due to data availability
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Modeling methodology
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Agent-based simulation of Lyon
Demand in parcel deliveries
Distribution by operators
KPI Calculation
- Main question: What is the impact on traffic and population of implementing an Urban Consolidation Center in Confluence?
- Focus on B2C parcel deliveries due to data availability
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Population census (RP)
Income data (FiLoSoFi)
Commuting data (RP-MOB)
National HTS (ENTD)
Enterprise census (SIRENE)
OpenStreetMap
GTFS (SYTRAL / SNCF)
Address database (BD-TOPO)
Methodology: Synthetic travel demand
EDGT
Synthetic travel demand has been generated for Lyon in order to perform agent-based mobility simulation of all residents' movements.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
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Methodology: Synthetic travel demand
Open
Data
Open
Software
+
=
Reproducible research
Integrated testing
Population census (RP)
Income data (FiLoSoFi)
Commuting data (RP-MOB)
National HTS (ENTD)
Enterprise census (SIRENE)
OpenStreetMap
GTFS (SYTRAL / SNCF)
Address database (BD-TOPO)
EDGT
Synthetic travel demand has been generated for Lyon in order to perform agent-based mobility simulation of all residents' movements.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Methodology: Synthetic travel demand
Open
Software
=
Reproducible research
Integrated testing
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9031526/pasted-from-clipboard.png)
Paper published July 2021
Open
Data
Open
Software
+
=
Reproducible research
Integrated testing
Population census (RP)
Income data (FiLoSoFi)
Commuting data (RP-MOB)
National HTS (ENTD)
Enterprise census (SIRENE)
OpenStreetMap
GTFS (SYTRAL / SNCF)
Address database (BD-TOPO)
EDGT
Synthetic travel demand has been generated for Lyon in order to perform agent-based mobility simulation of all residents' movements.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Methodology: Synthetic travel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7899952/GitHub-Mark-64px.png)
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![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937904/departements.png)
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Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
+
Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434461/pasted-from-clipboard.png)
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
+
Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434461/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434468/pasted-from-clipboard.png)
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
+
Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434461/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434468/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434474/pasted-from-clipboard.png)
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
+
Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434461/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434468/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434474/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434484/pasted-from-clipboard.png)
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
+
Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
Iterative proportional fitting (IFP)
- Based on synthetic population, find average number of purchases delivered to a household defined by socioprofesional class, age of the reference person and household size per day.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434532/pasted-from-clipboard.png)
Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
+
Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
Maximum entropy approach
- We now the average number of parcels, but we do not now the distribution of the number of parcels for a household on an average day.
- We know it must be non-negative, and we know the mean.
- Without additional data, we assume maximum entropy distribution, which is Exponential in this case.
Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
+
Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434861/region.png)
Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
+
Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434863/lyon.png)
Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
+
Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434868/confluence.png)
Methodology: Parcel demand
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
Synthetic population
Gardrat, M., 2019. Méthodologie d’enquête: le découplage de l’achat et de la récupération des marchandises par les ménages. LAET, Lyon, France.
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Synthetic population
Out-of-home purchase survey
Achats découplés des ménages
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Based on sociodemographic attributes of the households, parcels are generated for the city on an average day.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/8434558/pasted-from-clipboard.png)
Presence of household members
First case study
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Hörl, S. and J. Puchinger (2021) From synthetic population to parcel demand: Modeling pipeline and case study for last-mile deliveries in Lyon, Working paper.
Solve VRP-TW based on generated parcels and household presence
JSprit
First case study
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Hörl, S. and J. Puchinger (2021) From synthetic population to parcel demand: Modeling pipeline and case study for last-mile deliveries in Lyon, Working paper.
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9068490/pasted-from-clipboard.png)
Solve VRP-TW based on generated parcels and household presence
JSprit
VROOM
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9068511/pasted-from-clipboard.png)
Scaling up: City-wide baseline
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Using shares of customer preference, parcels are assigned to operators and the closest distribution centers.
SIRENE: Delivery centers
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9031671/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9031678/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Scaling up: City-wide baseline
Using shares of customer preference, parcels are assigned to operators and the closest distribution centers.
SIRENE: Delivery centers
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9031671/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9031678/pasted-from-clipboard.png)
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![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Using shares of customer preference, parcels are assigned to operators and the closest distribution centers.
SIRENE: Delivery centers
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9031671/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9031678/pasted-from-clipboard.png)
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Scaling up: City-wide baseline
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9375351/pasted-from-clipboard.png)
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Scaling up: City-wide baseline
Minimization of a
Vehicle routing and fleet composition problem
to select among a class of vehicles and their routes
(Currently, simple heuristic approach)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9375360/pasted-from-clipboard.png)
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Scaling up: City-wide baseline
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9031678/pasted-from-clipboard.png)
- Allows us to cut out a better baseline scenario for Confluence
First main result: Estimate of the total distance driven for parcel deliveries in Lyon (by the most frequent operators).
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Scaling up: City-wide baseline
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9031678/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9375369/pasted-from-clipboard.png)
Coming up: KPI Calculation
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
GHG/PM Emissions: Simulation based on Hbefa database with detailed driving conditions (cold start, current speed, ...)
(Alternative in LEAD: COPERT)
Noise Emissions: Simulation simulates noise emissions and emissions to arrive at exposure values
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9032070/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9032083/pasted-from-clipboard.png)
Coming up: Scenario dashboard
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![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7937920/pasted-from-clipboard.png)
Caution: Current test results to exemplify the methodology. Model needs to be improved in multiple stages (see slide after).
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9036861/pasted-from-clipboard.png)
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9036909/diagram_baseline.png)
Questions?
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Validation
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/7596875/systemx_transparent.png)
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Traffic
- Road counts (open data for Lyon)
Air quality
- Observatoire Air Rhone-Alpes
Deliveries
- Data will be provided by La Poste
![](https://s3.amazonaws.com/media-p.slid.es/uploads/66822/images/9032061/pasted-from-clipboard.png)
Advances in reproducible simulation of parcel deliveries based on open data
By Sebastian Hörl
Advances in reproducible simulation of parcel deliveries based on open data
7 March 2022, SPLOTT
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