Evaluation Results of the Amsterdam, Netherlands, Practical Trial with In-Car Travel and Route Advice

Author:

Wilmink Isabel1,Jonkers Eline1,Snelder Maaike23,Klunder Gerdien24

Affiliation:

1. Netherlands Organization for Applied Scientific Research (TNO), Van Mourik Broekmanweg 6, P.O. Box 49, 2600 AA Delft, Netherlands

2. Delft University of Technology; TNO, Van Mourik Broekmanweg 6, P.O. Box 49, 2600 AA Delft, Netherlands

3. Faculty of Civil Engineering and Geosciences, Delft University of Technology, Room 4.18, Stevinweg 1, 2628 CN Delft, Netherlands

4. Faculty of Civil Engineering and Geosciences, Delft University of Technology, Room 4.31, Stevinweg 1, 2628 CN Delft, Netherlands

Abstract

Travel and route guidance services are widely available. Social navigation services that provide travelers with advice aimed at minimizing driver travel time, while also taking into account the effect on travel times of other travelers, are relatively new. Theoretically, social navigation has been shown to reduce total travel time by 10% to 30%. This paper presents the evaluation results of a large-scale field trial for pretrip and on-trip route advice with load balancing, in which about 20,000 participants were active. The evaluation provided insight into the potential effects of in-car information services, such as effects on user behavior, traffic flow effects, and technical aspects. Participants used mostly the pretrip advisories. Compliance with the on-trip route advice was 50%, which was considered high (compared with compliance with route advice on variable message signs). An effect on traffic flow could not be measured, as penetration rates were (despite thousands of users) still too low. An offline study using measured travel times combined with a traffic model, however, showed that substantial delay reductions can be achieved for the Amsterdam, Netherlands, region. Participants’ appreciation of the service resulted in a mixed picture with positive and negative ratings. The main practical contribution of this paper is that the results can be used to develop social navigation services. Empirical insights about route advice compliance can be seen as the main scientific contribution.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Reference8 articles.

1. ZuurbierF. S. Intelligent Route Guidance. PhD thesis. TRAIL Thesis Series T2010/8. TRAIL Research School, Delft, Netherlands, 2010.

2. Reducing time delays on congested road networks using social navigation

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