In addition to being widely used to develop new MATSim functionalities—for example, contributions to destination innovation (Chapter 27), collaborative decisions (Chapter 28), parking (Chapter 13) or electric vehicles (Chapter 14)—the Zurich scenario has also been used in policy studies. The locations of the activities were determined at the individual building level, and information on the types of buildings and facilities was collected from different sources: i.e. spatial plan (URA, 2008), government websites and directories, and information on points of interest provided by NAVTEQ.
Sioux Falls
- Demand
- Supply
- Behavioral Parameters
- Results, Drawbacks and Outlook
In addition to socio-demographic household characteristics (number of adults, children, retirees, household income), the model used residential location attributes (population density, access to public transportation, and housing type) that better described the specific characteristics of the Sioux Falls scenario, as well as its area-wide bus network. For this purpose, Morlok et al. introduced the Sioux Falls test network. 1973) and later adapted as a benchmark and test scenario in many publications (for a review see Chakirov and Fourie (2014).
Aliaga
For the first scenario, the evacuation times were 45 minutes for the first risk zone, 83 minutes for the second and 86 minutes for the third. For the second scenario, the evacuation times were 44 minutes for the first risk zone, 82 minutes for the second and 91 minutes for the third.
Baoding: A Case Study for Testing a New Household Utility Function in MATSim
- Introduction
- Population and Demand Generation
- Activity Locations, Network and Transport Modes
- Historical Validation
- Comparison of Two Scenarios: Car Traffic
- Comparison of Two Scenarios: Transit Traffic
- Achieved Results
Then, a set of daily plans with the highest household utility function were selected and shared with the family. Historical validation confirmed that MATSim improved its car and transit simulation performance using the new utility feature.
Barcelona
- Transport Supply: Network and Public Transport
- Transport Demand: Population
- Calibration and Validation
- Results and More Information
First, the results were compared to EMEF (Enquesta de Mobilitat en dia Feiner), to validate agent plans obtained from mobile phone data, indicating that mobile phone data provides information comparable to traditional surveys.
Belgium: The Use of MATSim within an Estimation Framework for Assessing Economic Impacts of
River Floods
- Problem Statement
- Data Collection
- Input Preparation .1 Network
- Synthetic Population
- Activity-Based Pattern Generation
- General Modeling Framework
- Modeling Network Disruption
- Next Development Steps
To compensate, a synthetic population was derived from more recent trip surveys (e.g. Corn´elis et al., 2012) using a Gibbs sampler (Farooq et al., 2013). As outlined by Cools et al. 2011), uncertainties introduced by statistical distributions of random components in most activity-based models can be significant.
Brussels
To evaluate the sensitivity of the model to certain policies, a scenario of tolling in the cordon was set up, where a toll is charged between 6 and 10 a.m. each time a car crosses the border of the cordon, i.e.
Caracas
The blue dots above the roads on the map represent the meters placed in the area to capture the flow of vehicles used as input data for the simulation. Since the surveyed area is mostly a consumption zone in the morning and a production zone in the afternoon, the values from the OD matrix were used to create daily plans for the agents.
Cottbus: Traffic Signal Simulation
Dublin
- Introduction
- Study Area
- Network
- Population Generation
- Demand Generation
- Activity Locations
- Validation and Results
- Achieved Results
- Associated Projects and Where to Find More
The INTS (Ireland National Travel Survey) was used to create demand for the non-commuter road network. This variant of the radiation model was used to assign locations for secondary activities in the daily agent chains for the Dublin scenario request.
European Air- and Rail-Transport
- Air Transport Scenario
- Modeling & Simulation of Air Transport Technology
- Passenger Demand
- Simulation Results .1 Air Transport
- Adding an Alternative Mode
- Interpretation & Discussion
- Conclusion
The assignment of flights to the desired O-D connection, i.e. the passenger route, is calculated by MATSim's default public transport routing module. The number of stranded passengers is higher than for the simulation runs with the alternative mode.
Gauteng
Germany
Demand and Supply Data
Initially, activity locations are set to random facilities, and each person is cloned multiple times (according to the person's weight), resulting in a total population of 4 M people. A facility can be synthesized from an OSM node representing a point of interest (shop, restaurant, bar, etc.), a polygon representing a building, and a polygon representing a region of specified land use.
Imputation and Calibration
- Imputation of Home Locations
- Imputation of Non-Home Locations
- Calibration
However, considering the scenario size and computational constraints, the process is divided into three steps: (i) assigning “home” locations, (ii) generating an initial state with assigned “non-home” activity locations, and (iii) changing a subset of “non-home” activity locations to meet the volumes of selected car stations in O-D. Hence, drawing a random activity location on a ring centered at the origin. the location of the activity, radiused by target distance, does not necessarily meet the target distances of subsequent trips.
Simulation Results and Travel Statistics
The reduced calibration matrix is normalized to the sum of all trips in a reference matrix. A virtual counting station with the corresponding count value from the reduced calibration matrix is associated with each virtual link.
Hamburg Wilhelmsburg
- Brief Description
- Road Network
- Evacuation Scenario
- Departure Time Distribution
- Population Size
- Simulation Results
For the "New B75" variant, the section of the B75 that would be moved has been removed in the first step. In a second step, the new route B75 is connected to the existing road network, i.e. B75 north at the intersection "Georgswerder" in the north and the intersection "Hamburg Wilhelmsburg S¨ud" in the south.
Joinville
The count data available for comparison is still sparse and could not be used as effectively as we hoped; we know that calibration is needed for the next model versions. The good news is that the municipality will install more than a hundred counting stations in the city in the coming months and will conduct a new travel survey this year.
London
- Supply
- Demand
- Calibration and Validation
- More Information
We have used the following two data sets: Census 2011 data for each of the 850 wards in London and the HSAR (Household Sample of Anonymised Records) for England in 2001. This technique is based on the selection of survey households from the HSAR that best match the overall socio-demographics from the Census 20s15 in London for each 20s155 in London.
Nelson Mandela Bay
New York City
Padang
The social cost-based marginal simulation approach attempts to minimize the total evacuation time (L¨ammel and Fl¨otter¨od, 2009; Dressler et al., 2011). These three basic evacuation approaches have been investigated in combination with flooding (L¨ammel et al., 2010; L¨ammel, 2011).
Patna
The Philippines: Agent-Based Transport Simulation Model for Disaster Response Vehicles
- Literature Review
- Design Details and Specifications
- Model Scenarios
- Validation
- Achieved Results
- Conclusions
The facilities are mapped based on their actual geographic x and y coordinates in the road network. No roadblocks were considered; traffic could access all five bridges defined in the network (see Figure 78.4).
Poznan
At the same time, the public transport system is added, allowing simulation of both private and public transport. The Poznan model was used for simulation of real-time electric taxi dispatch, done by the DVRP contribution (see Chapter 23).
Quito Metropolitan District
The first case study (Armas et al., 2014) provided valuable insight into optimal traffic light setting in the DMQ business district under congested conditions. This allowed us to validate the problem representation used in the SOP and the effectiveness of the mutation and recombination operators implemented to search for solutions.
Rotterdam: Revenue Management in Public Transportation with Smart-Card Data Enabled
Agent-Based Simulations
To further study smart card data opportunities in demand generation, Bouman et al. 2012), we introduced a pattern-based demand generation method that uses as input smart card transactions of three different modalities (metro, tram and bus) in a Dutch urban area. The experiment was repeated for different levels of pattern-based demand, where the varied parameter was the number of observed samples required for a smart card to be included.
Samara
- Study Area
- Transport Demand
- Transport Supply
- Calibration and Validation
- Intelligent Traffic Analysis
With the tools of MATSim Senozon Via (Chapter 33) and OTFVis (Chapter 34), visual analysis of the model can be performed. One of the goals was to find the dependence of the tension at the gravity points of the transport flows on the space-time parameters of the transport infrastructure.
San Francisco Bay Area: The SmartBay Project - Connected Mobility
- Introduction
- The Study Area and Networks
- Population and Demand Generation
- Work Commute Model Evaluation
- Extensions and Work in Progress
- Conclusions and Acknowledgments
Cell phone data is routinely collected and managed by AT&T Inc., the second largest nationwide telecom operator in the United States with 120 million users nationwide (which translates to a sample of over 1 million commuters in the SF Bay Area). This approach is justified both by the need to reduce computational costs in the re-planning phase, and by evidence of spatial hierarchies in human spatial cognition and decision-making.
Santiago de Chile
- Introduction
- Data
- The 2012 origin-destination survey
- Road network and public transport supply
- Setting up the Open Scenario .1 Scenario specifications
- Calibration/validation
- Conclusion and Outlook
The travel demand and activity patterns of the MATSim Santiago scenario are based on the travel and activity data collected in the 2012 Origin-Destination Survey (ODS), the database and results of which were released to the public in March 2015.2 The surveyed area includes 45comunas (municipalities) of the Santiago Metropolitan Region, with an estimated population of 6.65 million people. Since there are no data limitations, these files are provided as an open scenario.4 The code for obtaining this data from the input data is also publicly available.5 Behavioral parameters are taken from a study by Munizaga et al.
Seattle Region
Seoul
Shanghai
A public transportation system, subways and buses, was integrated with both motorized and non-motorized traffic. The effectiveness of the Shanghai MATSim transport simulation model was validated against observed counts from vehicle detectors and mode breakdown from travel surveys.
Sochi
- System Overview
- Extensions to MATSim
- Simulation of Sochi
- Outlook
To test the applicability of ITSOS for large event transportation planning, a model of the 2014 Winter Olympics in Sochi (Russia) was built. In addition to the Sochi 2014 Winter Olympics test case, ITSOS/MATSim was also used to simulate traffic in St.
Stockholm
Tampa, Florida: High-Resolution Simulation of Urban Travel and Network Performance for
Estimating Mobile Source Emissions
- Introduction
- Study Area
- Modeling Framework
- Results
- Future Work
- Conclusion
Link-level outputs from the simulation, including hourly traffic volumes and travel times, are to alinkstatsfile; writing. Daily patterns of switch-level passenger car volumes and travel speeds for Hillsborough County are presented in Figure 90.3 (in the form of two-hourly averages).
Tel Aviv
Tokyo: Simulating Hyperpath-Based Vehicle Navigations and its Impact on Travel Time
Reliability
- Introduction
- A Small-Sized Network Case
- Simulation in Tokyo’s Arterial Road Network
- Network and Travel Demand
- Setup of Day-to-Day Simulation Experiments
- Results
- Validation of Hyperpath-Based Navigation
Tokyo: Simulation of hyperpath-based vehicle navigations and its impact on travel time. Based on average travel time). Average travel time per unit length for all agents on each day was plotted for different cases in Figure 92.6.
Toronto
- Study Area
- Population, Demand Generation and Activity Locations
- Network Development and Simulated Modes
- Calibration, Validation, Results
The work of Gao et al. 2010) found that travel time, travel distance, link flows and speeds were reasonably comparable, indeed more reliable, than those achieved through the EMME assignment. Conversely, work on transit assignment, first done by Kucirek (2012) and then by Weiss et al. 2014), found limitations associated with predicting online boarding figures; these were based on different technologies and transit agencies and used different fare structures, suggesting that further work is required to calibrate the multimodal assignment model.
Trondheim
When comparing the three different congestion pricing structures, it also became clear that agents changed the departure time. In this scenario, traffic was actually busier before 3pm and after 5pm, implying that many agents changed the departure time to avoid high congestion rates.
Yarrawonga and Mulwala: Demand-Responsive Transportation in Regional Victoria, Australia
However, the use of MATSim for this initial model means that other modes may be added in later versions. This was an exploratory simulation showing how DRT could be modeled to explore the viability and comparison of different schemes.
Yokohama: MATSim Application for Resilient Urban Design
Introduction
Results
To meet household demand for electricity, PV electricity must be efficiently stored in EVs and shared locally. The first term balanced storage capacity and electricity surplus to increase the rate of stored PV electricity; the second period reduced the distance between the points within each cluster, as well as the cost of electricity sharing (transmission).
Research Avenues
- MATSim and Agents .1 Complex Adaptive Systems
- Artificial Intelligence
- Synthesis
- Within-Day Replanning and the User Equilibrium
- Choice Set Generation
- The Statistical Weight of Each Plan
- Heterogeneity in Plans Removal
- Heterogeneity in Plans Generation
- Deliberate Search Strategies
- Transients Versus the Notion of “Learning”
- Scoring/Utility Function and Choice
- Discussion of the Present Scoring Function Mathematical Form The current logarithmic MATSim activity scoring function,
- Utility at Typical Duration Proportional to Typical Duration
- S-Shaped Function
- Heterogeneity of Alternatives and Challenges of Estimation
- Agent-Specific Preferences
- Frozen Randomness for Choice Dimensions Other Than Destination Choice For destination choice, an iteration-stable random error term has been successfully applied to
- Economic evaluation
- Double-Queue Mobsim
- Choice Dimensions, in particular, Expenditure Division
- Considering Social Contacts
As a result, in the MATSim context, it is important to look not only at plan generation/innovation (eg, Section 4.5.1.1), but also at plan removal. That is, replacing Equation (97.4) with Equation (97.6) in the MATSim score function will make all activities equally likely to decline in first order.
Acronyms
CONICYT Comisi´on Nacional de Investigacion Cient´ıfica y Tecnol´ogica – Nationale Kommission für wissenschaftliche und technologische Forschung. VSP VerkehrsSystemPlanung und Verkehrstelematik – Die Arbeitsgruppe Verkehrssystemplanung und Verkehrstelematik an der TU Berlin.
Glossary
Extension core MATSim uses only a configuration file, population file and network file, which corresponds to the book's part I. Microsimulation The modeling of the temporal development of a real-world system, or process, by explicitly considering the interactions of micro-units such as individuals or vehicles.
Symbols and Typographic Conventions
Update on MATS, Presentation, Transportation Research Board 88th Annual Meeting, Washington, D.C., January. Axhausen (2009) High-throughput traffic flow microsimulation for large-scale problems, in: Transportation Research Board 88th Annual Meeting, Washington, D.C., January 2009.
