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Wirkungen individueller und kollektiver Verkehrsinformation in Straßennetzen - Teil 2: Analysen und Ergebnisse

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Fritz Busch at Technical University of Munich
Fritz Busch
Markus Friedrich at University of Stuttgart
Markus Friedrich
Christian Schiller at Technische Universität Dresden
Christian Schiller
Immet Bakircioglu
Immet Bakircioglu
Immet Bakircioglu
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... Among the studies analyzing the effects of traffic information under new realities are Busch et al. (2012aBusch et al. ( , 2012b, Mandir (2012), and closely related to the present work, Zuurbier (2010). Nöcker et al. (2005) report on the development of Anticipatory Advanced Driver Assistance Systems: The communication between vehicle and infrastructure creates a telematic horizon that provides information about current traffic conditions and dangers and enables road users to react in time to critical traffic situations. ...
Driver’s Choice and System Outcomes in Congested Traffic Networks
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  • Jan 2018
Our study is investigating the effects of spatial orientation in the representative scenario of congested traffic in the Zurich metropolitan area. Each driver has planned his itinerary with the help of an off-the-shelf navigation device and sticks to his shortest route. The research question is: How much will the traffic situation improve if part of the drivers use real-time navigation information (such as may be available via smartphone)? We assume that the population of the drivers is divided into the class of non-informed drivers with static knowledge and deterministic behavior, and into the class of informed drivers with dynamic knowledge and stochastic behavior. The non-informed drivers move along the route they perceived as the shortest one when starting their trip. The informed drivers head for their destination dynamically by choosing the currently most advantageous link at each traffic node on their trip. The decisions of the informed drivers will be mapped and microscopically simulated using the MATSim software. An informed driver’s decision is based on the random utility in favor of a route. The utility function takes into account three properties: the travel time on the route, the confidence in the information, and the risk attitude according to the drivers mode of behavior. Our experiments reveal differences in respect of the load on the road network and the mean daily travel times of the drivers. The key result is that all drivers benefit even when only part of them navigate by using current traffic information. Further results quantify the time savings that each of the two classes of drivers achieves, and also how the entirety of drivers benefit from certain shares of informed drivers. Our analysis also shows the variation of descriptive and normative behavior in respect of route choice. The scenario’s estimated saving potential of about 25 percent can be exploited if the informed drivers behave in a disciplined manner and follow the recommended links.
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