Campigotto P, Rudloff C, Leodolter M, Bauer D. Personalized and Situation-Aware Multimodal Route Recommendations: The FAVOUR Algorithm. IEEE Transactions on Intelligent Transportation Systems. 2017;18(1):92-102
With the increasing frequency of autonomous driving, more and more attention is paid to personalized...
Existing wayfinding and navigation services are designed primarily for vehicle trip planning. Of the...
The proper vehicle-route selection is a key challenge affecting the quality of urban logistics since...
The use of smartphone applications (apps) to acquire real time and readily available journey plannin...
Global trends like urbanization, digitization, and climate change enforce and accelerate the change ...
Due to changing expectations of characteristics of mobility demands, public transportation users inc...
Recommending satisfactory routes for driving requires data about the road network and an individual&...
At present, most popular route navigation systems only use a few sensed or measured attributes to re...
Traffic information services provide new options to ease the individual’s access to all kinds of tra...
Real-world route navigation data indicate that nontrivial portion of drivers do not prefer the syste...
Recommendation system has recently experienced widespread applications in fields like advertising an...
A new generation of Trip Planners, at moment most of them at prototypical phase, try to overcome som...
Providing personalized advice is an important objective in the development of advanced traveler info...
This paper focuses on an Advanced Traveler Advisory Tool (ATAT) aiming at supporting users travellin...
Existing wayfinding and navigation services are designed primarily for vehicle trip planning. Of the...
With the increasing frequency of autonomous driving, more and more attention is paid to personalized...
Existing wayfinding and navigation services are designed primarily for vehicle trip planning. Of the...
The proper vehicle-route selection is a key challenge affecting the quality of urban logistics since...
The use of smartphone applications (apps) to acquire real time and readily available journey plannin...
Global trends like urbanization, digitization, and climate change enforce and accelerate the change ...
Due to changing expectations of characteristics of mobility demands, public transportation users inc...
Recommending satisfactory routes for driving requires data about the road network and an individual&...
At present, most popular route navigation systems only use a few sensed or measured attributes to re...
Traffic information services provide new options to ease the individual’s access to all kinds of tra...
Real-world route navigation data indicate that nontrivial portion of drivers do not prefer the syste...
Recommendation system has recently experienced widespread applications in fields like advertising an...
A new generation of Trip Planners, at moment most of them at prototypical phase, try to overcome som...
Providing personalized advice is an important objective in the development of advanced traveler info...
This paper focuses on an Advanced Traveler Advisory Tool (ATAT) aiming at supporting users travellin...
Existing wayfinding and navigation services are designed primarily for vehicle trip planning. Of the...
With the increasing frequency of autonomous driving, more and more attention is paid to personalized...
Existing wayfinding and navigation services are designed primarily for vehicle trip planning. Of the...
The proper vehicle-route selection is a key challenge affecting the quality of urban logistics since...
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