Tamás Tettamanti
Biographic Data
| ID | 4418446 |
|---|---|
| NAME | Tamás Tettamanti |
| GIVEN NAMES | Tamás |
| FAMILY NAME | Tettamanti |
| SIGNATURE | TETTAMANTI T |
| AFFILIATIONS | Budapest University of Technology and Economics, Budapest, Hungary |
| ORCID | 0000-0002-8934-3653 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Strategic trip planning for commuting considering user preferences of employees in organizations
Promoting sustainable mode choice for commuting supported by persuasive strategies
A personalized route planner is elaborated to support commuting, where soft measures are applied to influence the intentions of individual travel behavior. In order to do that a utility function is created, which consists of four attributes (travel time, travel cost, environmental effect, and health effect) to reflect on user preferences and considers four transport modes (walking, cycling, public transport, and car) as alternatives. The outcome …
Extensions of the Activity Chain Optimization Method
For the optimization of daily activity chains a novel method has been elaborated, where flexible demand points were introduced. Some activities are not necessarily fixed temporally and spatially, therefore they can be realized in different times or locations. By using flexible demand points, the method is capable of finding new combinations of activity chains and choosing the optimal set of activities. The optimization algorithm solves the TSP-TW…
No prominent works on this page.
Extensions of the Activity Chain Optimization Method
For the optimization of daily activity chains a novel method has been elaborated, where flexible demand points were introduced. Some activities are not necessarily fixed temporally and spatially, therefore they can be realized in different times or locations. By using flexible demand points, the method is capable of finding new combinations of activity chains and choosing the optimal set of activities. The optimization algorithm solves the TSP-TW…
Promoting sustainable mode choice for commuting supported by persuasive strategies
A personalized route planner is elaborated to support commuting, where soft measures are applied to influence the intentions of individual travel behavior. In order to do that a utility function is created, which consists of four attributes (travel time, travel cost, environmental effect, and health effect) to reflect on user preferences and considers four transport modes (walking, cycling, public transport, and car) as alternatives. The outcome …
Strategic trip planning for commuting considering user preferences of employees in organizations
Business (2 works) · Computer Science (2 works) · Engineering (2 works) · Marketing (2 works) · Public transport (2 works) · Transport engineering (2 works) · Transportation and Mobility Innovations (2 works) · Transportation Planning and Optimization (2 works) · Urban Transport and Accessibility (2 works) · Algorithm (1 works)