<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The results of route planning researches are monitored by logistic and automotive industries. The economic aspects of the cost saving are in the focus of the attention. An optimal route could cause time or fuel savings. An effective driving or an optimal route is a good basis to achieve an economical aim. Moreover the spread of new automotive solutions especially in case of electric cars the optimisation has particular significance regarding the limited battery storage. Additionally the autonomous car development could not be neglected. As a result the society could expect safer roads, better space usage and effective resource management. Nevertheless the requirements of users are extremely diverse, which is not negligible. Supporting these aims, in this paper the connection between the multimodal route planning and the user requirements are investigated. The examination is focused to a sensitivity analysis and a survey to evaluate the data and support the settings of a user habit effect to the final route.</p></abstract>

The results of route planning researches are monitored by logistic and automotive industries. The economic aspects of the cost saving are in the focus of the attention. An optimal route could cause time or fuel savings. An effective driving or an optimal route is a good basis to achieve an economical aim. Moreover the spread of new automotive solutions especially in case of electric cars the optimisation has particular significance regarding the limited battery storage. Additionally the autonomous car development could not be neglected. As a result the society could expect safer roads, better space usage and effective resource management. Nevertheless the requirements of users are extremely diverse, which is not negligible. Supporting these aims, in this paper the connection between the multimodal route planning and the user requirements are investigated. The examination is focused to a sensitivity analysis and a survey to evaluate the data and support the settings of a user habit effect to the final route.

User habits and multimodal route planning

Department of Automotive Technologies, Faculty of Transport Engineering and Vehicle Engineering (KJK)

Budapest University of Technology and Economics

Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering (KJK)

Production Engineering Archives

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"User habits and multimodal route planning"}

The results of route planning researches are monitored by logistic and automotive industries. The economic aspects of the cost saving are in the focus of the...

User habits and multimodal route planning

Online veröffentlicht: 28. Jan. 2020

Seitenbereich: 22 - 27

Eingereicht: 09. Mai 2017

Akzeptiert: 12. Sept. 2017

DOI: https://doi.org/10.30657/pea.2017.16.05

Schlüsselwörter
user habits, multimodal route planning, Ant Colony algorithm

© 2017 Géza Katona et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

User habits and multimodal route planning

Online veröffentlicht: 28. Jan. 2020

Seitenbereich: 22 - 27

Eingereicht: 09. Mai 2017

Akzeptiert: 12. Sept. 2017

DOI: https://doi.org/10.30657/pea.2017.16.05

Schlüsselwörteruser habits, multimodal route planning, Ant Colony algorithm

© 2017 Géza Katona et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
user habits, multimodal route planning, Ant Colony algorithm