The small-scale commercial traffic models used in planning practice do not reflect the large range of tradesmen's services and the predominantly used light commercial vehicles in a sufficiently differentiated manner. This applies in particular to the generation and temporal-spatial distribution of journeys and is mainly due to data deficits or data structures in statistics which lead to correspondingly highly aggregated model approaches. In order to assess the effects of traffic controlling and environmental measures (e. g. electrification of certain types of vehicle/vehicle groups, delivery time restrictions),
a new (model) approach is required, which takes the operational characteristics of vehicles into account.
From a practical planning point of view, the project aims at modelling traffic with light commercial vehicles in a more differentiated way, in order to be able to better estimate the effects of transport policy and traffic influencing measures (STM instruments) in particular. Light commercial vehicles show a disproportionately high increase in the number of registrations, while in urban traffic the number of registrations will increase by roughly 2 %. 20 % of the vehicle driving performance of commercial transport with vehicles of this class have diesel engines (relevance for concepts in air pollution control planning) and are a field for the promotion of electromobility. From a scientific point of view, a contribution should be made to improve the data bases and explanatory value of commercial traffic models, whereas, in addition to the modularity of model development, a link with system-dynamic model approaches is achieved.
For modelling, open source data should be used as far as possible, for which new ways of partially automated data acquisition and data quality testing should be demonstrated (resident companies, area sizes, location of the production sites,..). The model should be developed for the modelling of transport by craftsmen and is intended to enable the municipalities and regions as well as their consulting engineers/planners to appropriately consider this important part of the economic and thus also of the total traffic in their planning and research area in the modelling of transport demand/transport demand calculations and to determine the effects of the activities.