MATSim-T

Abstract

Micro-simulations for transport planning are becoming increasingly important in traffic simulation, traffic analysis, and traffic forecasting. In the last decades the shift from using typically aggregated data to more detailed, individual based, complex data (e.g. GPS tracking) andthe continuously growing computer performance on fixed price level leads to the possibility of using microscopic models for large scale planning regions. This chapter presents such a micro-simulation. The work is part of the research project MATSim (Multi Agent Transport Simulation, http://matsim.org). In the chapter here the focus lies on design and implementation issues as well as on computational performance of different parts of the system. Based on a study of Swiss daily traffic – ca. 2.3 million individuals using motorized individual transport producing about 7.1 million trips, assigned to a Swiss network model with about 60,000 links, simulated and optimized completely time-dynamic for a complete workday – it is shown that the system is able to generate those traffic patterns in about 36 hours computation time.

A review on agent-based technology for traffic and transportation

“…In contrast to this, the activity-based travel demand module of the aforementioned MATSim—the so-called MATSim-T module (Balmer et al ., 2009)—does not try to resemble the planning process. Rather, it is based on a set of fully elaborated daily plans that are iteratively adapted.…”

Defining the resolution of a network for transportation analyses: A new methodology and algorithm

“…To make the path-tracing algorithm more efficient, it would be worth exploring an advanced approach to retrieve the path-tracing results for all OD pairs at the same time. Using microscopic assignment algorithms, such as MATSim and DynaMIT (Balmer et al., 2009; Ben-Akiva et al., 2010), could be an efficient alternative approach. In future research, the identification of irrelevant links should be further investigated using different parameters, such as link volumes or rank of link volumes on the entire network.…”

On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach

“…The most decisive data set needed for a statistical modelling of landslide susceptibility is an accurate and representative landslide inventory (Zêzere et al, 2017). Different types of landslide inventories exist: (i) historical data from archives, (ii) field mapping results, (iii) information derived from remote-sensing data and (iv) combined inventories (Bell et al, 2012). In general, inventories which are based on archive data only include reported events.…”

“…It was optimised for 100 additional iterations to ascertain stability after random sampling (baseline-10). This sample was mainly used to establish the evaluation process of the landslide incidents' consequence in a less time-consuming manner, regarding that a percentage of 10 % constitutes the lower threshold recommended for MATSim to obtain consistent results (Balmer et al, 2009).…”