The use of GPS observations for investigating routing behaviors can be a good alternative to using more traditional traffic simulation models. In this paper, a method for inferring paths from GPS observations is proposed. Further, a route set generation algorithm is implemented. The inferred trips are used for the calibration of the parameters in the route set generation algorithm. The investigated network is part of the Interstate 210 freeway east of Los Angeles, USA. The results shows significant differences in number of eastbound travelers choosing to travel north of, south of, and on the freeway during regular days compared with the incident day. The travel times are also higher during the incident day. Different travel times as costs on the links have a large impact on the results from the route set generation algorithm. The conclusion is that the implemented methods can be used to gain a better understanding about routing behavior. However, to use the results for decision making, more input data with better precision should be used.

In a lot of big cities, the traffic network is overloaded, with congestion and unnecessary emissions as consequence. Therefore, different traffic control methods are useful, especially in case of an incident. One key problem for traffic control is traffic prediction and the aim of this thesis is to develop, calibrate and evaluate a route flow model using only observed travel times and travel demand as input. The route flow model was used to calculate the metric link flow destination distribution, that presents to which destinations the travelers on a link are going in percentage.

This thesis proposes an analysing tool that makes use of route set generation to perform road network analysis that can be used in both transport planning and traffic management analysis. The input to the tool is a routable road network and a geographical zoning system and the route set generation is performed on all Origin-Destination (OD) -pairs of the zoning system. The tool was implemented using a simplification of Stockholms road network and a zoning system defined by the Swedish Transport Administration. The result shows that a route set generation-based tool can provide support in both transport planning and traffic management, and that the procedure provides results within a reasonable amount of time. The tool provides both a general analysis of the road network, and a link capacity reduction analysis. In the latter, the proportion of affected destinations and mean travel time deterioration for each OD-zone work as metrics of how the zones are affected by the capacity reduction. Transport planners can use the tool to present the betweenness centrality, the proportion of affected destinations and the mean travel time deterioration, all of which are metrics that can be used to evaluate the potential need for new infrastructure. Traffic managers can use the proportion of affected destinations and the mean travel time deterioration as metrics that can be used to identify zones that are affected by a road capacity reduction. The betweenness centrality of the best alternative route can be used to support traffic diversion for a specific zone.