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In this study, an activity-based travel demand model of the Ústí nad Labem district (Czech Republic) is created. To do this, an advanced travel demand synthesis process is presented by utilizing the Eqasim framework, which is a pipeline-processing, initial raw data to simulation step. The framework is extensively modified and extended with several...
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Successive averaging algorithms are commonly used to solve equilibrium for model systems combining travel demand and traffic assignment. Each iteration updates the solution estimate as a weighted average of the previous estimate and a new iterate from the feedback cycle. The chosen weights are crucial to whether iteration converges toward the solut...
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... MATSim has been applied to several case studies to model cities, such as Greater Toronto and Hamilton Area (Ontario, Canada) [5], Singapore [6], Santiago (Chile) [7], Barcelona (Spain) [8], Colditz (Germany) [9], Berlin (Germany) [10], Vienna (Austria) [11], Ústí nad Labem (Czech Republic) [12], and Tokyo (Japan) [13]. Table I compares the approaches in the literature described in this section highlighting the differences among scientific papers which deal with the integration of additional modules into MATSim or the creation of MATSim scenarios related to specific cities or both. ...
In the last few years, our cities become more and more crowded due to the increasing number of cars and old city planes. Small cities as Messina (i.e. an Italian city with 200k inhabitants) have travel time comparable with bigger ones as Adelaide or Cologne (i.e. cities with more than 800k inhabitants situated in Australia and Italy, respectively). A possible solution to mitigate such an issue is to use simulation software and design different city plans to find the most suitable one. However, these tools are often difficult to be used by city traffic managers without good computer skills. In this paper, we used a Multi-Agent Transport Simulation (MATSim) to provide a simple tool that can be used to better organize the direction of roads and public transportation. In particular, starting from the open data provided by the city of Messina, we implemented a software code able to process a MATSim event file through matsim-tools. Moreover, we proposed an index to estimate how much roads are safe for cyclists. From the simulation results, we were able to discover the most saturated links and the travel time distribution by hour of departure time.
... While it may be applied in a wider range of situations, its main objective is to offer a reliable foundation for applications such as travel demand synthesis and transport simulation [6]. In order to use many data points and to increase realism in mobility for travel demand models, the Eqasim framework was considerably changed and supplemented with a number of algorithms [14]. For instance, a typical series of steps consists of loading raw census data, cleaning raw census data, loading raw household travel survey data, cleaning survey data, merging census and survey data, and lastly generating a synthetic population from the merged data [7]. ...
Urban pollution poses a pressing environmental challenge, with substantial impacts on public health, particularly in urban areas. This paper presents a original approach that integrates vehicle-specific emission factors, derived from real-time traffic data, into an agent-based transport modelling framework. We introduce an emission calculation tool, augmented by supplementary data from HBEFA, incorporated into the MATSim environment to simulate multi-agent transport dynamics. The comprehensive MATSim scenario, encompassing digital road networks and public transportation systems, is generated through the Eqasim pipeline. This pipeline ensures a dependable pathway from initial data inputs to the completion of transport simulations. We apply this methodology in the real-world context of Calais, France, modelling pollutants such as NO2, PM10, and PM2.5. This modelling effort generates emission maps that illustrate the results, offering valuable insights for emission analysis. Furthermore, our approach provides critical information for decision-makers involved in managing and assessing urban air quality, thus contributing to more informed environmental policies and interventions.
... ABTD approach is based on mimicking the daily activity patterns of citizens in a study area while considering spatiotemporal constraints. The behavior of each person is modeled separately based on accessibility, locational, temporal, and interpersonal interdependencies (Pereira et al. 2022). ABTD models utilize the precise coordinates of each agent inside the zonebased approach. ...
... MATSim has been employed in recent studies for a variety of transport modeling purposes including the scenario of Croatia's nationwide transport energy demand (Novosel et al. 2015), analyzing travel demand in Barcelona and Zurich to inform cordon toll policy decisions (Freitas et al. 2017;Bassolas et al. 2019), examining mode-choice behavior in Jakarta (Ilahi et al. 2019), assessing bike-sharing demand in the San Francisco Bay Area to evaluate first/last-mile solutions for public transit , capturing travel demand fluctuations in New York City during the COVID pandemic (Wang et al. 2021), and modeling of dynamic demand for an automated taxi service in Zurich . The realistic performance of these scenarios is greatly influenced by the quality and content of the demand model, as noted in Pereira et al. (2022), which will be elaborated upon in Sect. "Data" for our specific case. ...
... 116,916 inhabitants reside in the city area and its surrounding 23 municipalities, together forming a catchment area. The city area is a regional center with administrative and educational institutions, and it represents an important transport hub connecting many Czech and international cities through a complex railway network (Pereira et al. 2022). The city area is also important transit and destination locations for both passenger and freight road transport. ...
There is a raise in public awareness on environmental and health issues in recent years, therefore many municipalities changed their transport policy direction to become more sustainable, especially active mobility based. This study makes use of an activity-based demand model to simulate urban mobility and policies for sustainable transport modes in the Usti nad Labem district using an agent-based model simulator driven by a co-evolutionary algorithm. Two policy scenarios were created by considering the transport literature and analyzing the characteristics and behaviors of citizens as well as the properties of the study area. Three scenarios—the actual situation, a cycleway-infrastructure case, and a bus priority case—were simulated for the study area with MATSim software. Both policy scenarios resulted in a decrease in car usage, with a higher drop seen in the cycleway-infrastructure scenario. 9.11% higher public transport ridership and 2.45% more of public transport modal share are observed in the bus priority compared to the actual situation, however the car-related emissions did not decrease. 6.36% more of cycling modal share was also noticed in the cycleway-infrastructure scenario which, the transport modal shift is enhanced by 2.6 more times than in the bus priority scenario. Car driving hours were significantly reduced in the cycleway scenario (5535 h less in a day) where 445.3 tons of car-related CO2 emissions would be saved annually, therefore environmental benefits of cycling modal share increase in the study area is undoubtable in long-term.
... It is based on scoring and replanning iterations and a coevolution algorithm. This framework has been used for a lot of different research works related to different scenarios such as Santiago (Chile) [10], Berlin (Germany) [11], Colditz (Germany) [12], Barcelona (Spain) [13],Ústí nad Labem (Czech Republic) [14], Tokyo (Japan) [15], Greater Toronto and Hamilton Area (Ontario, Canada) [16], Vienna (Austria) [17], and Singapore [18]. ...
... Travel demand model (TDM) is a critical tool used by transportation planners in making transportation investment decisions (Pereira, et al., 2022;Garus, Alonso, Raposo, Ciuffo, & dell'Olio, 2022). Tour and activity-based models are relatively newer classes of TDMs and are at the forefront of TDM research. ...
In the last years, our cities become more and more crowded due to the increasing number of cars into old city planes. So, even small/medium cities experience a travel time comparable with the bigger ones. To improve mobility management in modern cities, specific simulation tools can be used to analyze the impact of different mobility plans on mobility and, therefore to find the most suitable solution for each city. However, these tools are often hard to be used by city traffic managers without advanced computer skills. In this article, we used a multiagent transport simulation (MATSim) to provide a simple tool that can be easily used by end-users to better plan mobility strategies for both private and public transportation. In particular, starting from the open data provided by the city of Messina, we have implemented a software tool able to process MATSim events. Moreover, we propose a metric to estimate the safety of roads for cyclists. From the experimental results provided by the proposed software, we are able to discover the most overloaded links and estimate the travel time distribution by hour of departure time.
