Route Choice: Wayfinding in Transport Networks

Bovy, Piet H. L.; Stern, Eliahu

doi:10.1007/978-94-009-0633-4

Cited by 227 publications

(138 citation statements)

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“…Overall, the results are in line with the proposition that route planning involves different sequential phases (Benshoof, 1970;Bovy & Stern, 1990;Brunyé et al, 2010;Gärling et al, 1983;Golledge, 1995). Specifically, our results suggest that there are, at least, two clearly distinct phases in route planning from maps which involve different cognitive processes and result in systematic differences in gaze behaviour.…”

Section: Discussionsupporting

confidence: 90%

“…In summary, we have presented a number of novel findings, including data from eyetracking, that support the notion that route planning is subdivided into different phases (Benshoof, 1970;Bovy & Stern, 1990;Brunyé et al, 2010;Gärling et al, 1983;Golledge, 1995). Our research studies, to our knowledge for the first time, how people visually explore transportation maps when planning routes.…”

supporting

confidence: 57%

“…the initial search for the origin and destination locations, is similar to a visual exploration with two targets. Literature on map exploration has previously shown a bias towards the centre of the map at early exploration (Brunyé & Taylor, 2009 (Benshoof, 1970;Bovy & Stern, 1990;Brunyé et al, 2010;Gärling et al, 1983;Golledge, 1995). We predicted that with increasing numbers of transfers required,…”

Section: Discussionmentioning

confidence: 89%

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Route planning with transportation network maps: an eye-tracking study

Grison

Gyselinck²,

Burkhardt³

et al. 2016

Psychological Research

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Planning routes using transportation network maps is a common task that has received little attention in the literature. Here we present a novel eye-tracking paradigm to investigate psychological processes and mechanisms involved in such route planning. In the experiment, participants were first presented with an origin and destination pair before we presented them with fictitious public transportation maps. Their task was to find the connecting route that required the minimum number of transfers. Based on participants' gaze behaviour, each trial was split into two phases: (1) the search for origin and destination phase, i.e., the initial phase of the trial until participants gazed at both origin and destination at least once, and (2)

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Section: Discussionsupporting

confidence: 90%

supporting

confidence: 57%

Section: Discussionmentioning

confidence: 89%

See 1 more Smart Citation

Route planning with transportation network maps: an eye-tracking study

Grison

Gyselinck²,

Burkhardt³

et al. 2016

Psychological Research

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“…Research on road safety aspects reveals that such a decision-support system reduces the workload on drivers and reduces chances of such drivers causing incidents (5). It has been suggested that route selection and navigational assistance provided by DRGS reduce the mental effort required by drivers to a level similar to that experienced when driving on familiar routes.…”

Section: Need For Dynamic Route Guidance Systemsmentioning

confidence: 99%

Simulation Modeling of Route Guidance Concept

Vandebona

Upadhyay

1997

Transportation Research Record: Journal of the Transportation R

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The methodology of a simulation model developed at the University of New South Wales, Australia, for the evaluation of performance of Dynamic Route Guidance Systems (DRGS) is described. The microscopic simulation model adopts the event update simulation method and allows assessment of route guidance performance under different scenarios such as varying levels of participation in guidance technologies and different intensities of travel demand. This research is important for marketing, costing, and introducing route guidance and can assist planners in identifying suitable networks and traffic conditions for such systems. The example application investigates selected operating scenarios of intersection delay conditions under different compositions of participation rates in route guidance. Preliminary investigations indicate that the effectiveness of route guidance is related to the level of intersection delays. An interesting outcome of this application is the identification that in networks with intersection delays which vary with time, those motorists without guidance assistance strive to make better forecasts of travel time in order to assist their route selection. At low levels of intersection delays, some motorists appear to make more than one nonoptimal route selection.The development of Dynamic Route Guidance Systems (DRGS) that incorporate advances in information technology to distribute the traffic efficiently over a network is a growing area of research interest. It is anticipated that the concept of DRGS will provide costeffective solutions for congestion management. This research team has been investigating methods to quantify and analyze the benefits from a generic DRGS proposal.The importance of DRGS in urban road networks is examined. The proposed evaluation model designed to appraise projects about route guidance is explained. The evaluation methodology allows quantification of travel time savings delivered to various types of motorists in the traffic stream. The model contains four sub-models and adopts the event update simulation method to investigate the effects of dynamic route guidance. A description of the component models is reported.To analyze the performance of DRGS, benefits of route guidance have been assessed under different scenarios such as different levels of subscription, intensities of travel demand, and sizes as well as configurations of networks. These evaluations are useful in estimating optimum levels of subscription for such systems for successful congestion management. Impacts of DRGS on the route selection behavior of different types of motorists can also be studied using this simulation model.In the model application reported here, the evaluation model has been applied to investigate the effects of turning delays at intersections. Impacts of DRGS have been investigated under three scenarios related to intersection delay conditions. NEED FACTORSDespite efforts to improve urban and interurban traffic conditions, congestion is still pervasive in many of these areas worldwide. ...

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“…Moreover, knowing the answers to these questions could stimulate empirical research on corresponding questions concerning actually used routes, which would provide for the first time an effective basis for route choice model validation. See Bovy and Stern (1990) for an extensive review and analysis of route choice behaviour from many viewpoints.…”

Section: Introductionmentioning

confidence: 99%