Package org.matsim.contrib.noise

A package which provides some tools to compute...

• noise (emission) levels on network links (based on traffic volume, share of heavy goods vehicles, speed level)
• noise (immission) levels at receiver points (based on the surrounding links' emissions, distances and shielding [optional])
• population units (= population densities) at receiver points (mapping agents to the nearest receiver point)
• noise damages (= noise exposure costs) at receiver points (based on population units and noise levels)

All relevant parameters such as the temporal and spatial resolution are specified in NoiseConfigGroup.

There are two possible use cases:

• Run an offline noise computation for analysis purposes, see NoiseOfflineCalculationExample.
• Run an online noise computation, see NoiseOnlineControlerExample. Noise damages may be internalized applying different allocation approaches, see NoiseAllocationApproach.

The computation of noise levels is based on the German RLS 90 approach (Richtlinien fuer den Laermschutz and Strassen, Forschungsgesellschaft fuer Strassen- und Verkehrswesen), but applies some simplifications and minor modifications. Thus, noise levels should be considered as estimates rather than exact values. The conversion of noise exposures into monetary costs follows a slightly modified version of the German EWS approach (Empfehlungen fuer Wirtschaftlichkeitsuntersuchungen an Strassen, Forschungsgesellschaft fuer Strassen- und Verkehrswesen). A more detailed description of the computation methodology and the model limitations is provided in the related publications.

Related publications (list not regularly updated):

• I. Kaddoura, L. Kroeger, and K. Nagel. User-specific and dynamic internalization of road traffic noise exposures. Networks and Spatial Economics, 2016. DOI: 10.1007/s11067-016-9321-2. Preprint available from
• I. Kaddoura and K. Nagel. Activity-based computation of marginal noise exposure costs: Implications for traffic management. Transportation Research Record 2597, 2016. DOI: 10.3141/2597-15. Preprint available from
• N. Kuehnel, I. Kaddoura and R. Moeckel. Noise Shielding in an Agent-Based Transport Model Using Volunteered Geographic Data. Procedia Computer Science Volume 151, 2019. Pages 808-813 DOI: 10.1016/j.procs.2019.04.110. Available from

Author:

ikaddoura, lkroeger

Interface Summary

Interface	Description
NoiseEventAffectedHandler
NoiseEventCausedHandler

Class Summary

Class	Description
MergeNoiseCSVFile
NoiseComputationModule
NoiseConfigGroup	Provides the parameters required to build a simple grid with some basic spatial functionality.
NoiseDefaultCarTravelDisutilityModule
NoiseEventAffected
NoiseEventCaused
NoiseEventsReader
NoiseModule
NoiseOfflineCalculation	(1) Computes noise emissions, immissions, person activities and damages based on a standard events file.
NoiseReceiverPoint	Extends the basic information of a receiver point towards data required for the computation of noise.
NoiseReceiverPoints
NoiseTollTimeDistanceTravelDisutilityFactory
ProcessNoiseImmissions
ReceiverPoint	Contains the relevant information for a single receiver point.

Enum Summary

Enum	Description
MergeNoiseCSVFile.OutputFormat
NoiseAllocationApproach