Abstract
The purpose of this study is to assess the potential impact of future personalised public transport (PT) services allowing a traveller to communicate with an information provider using specific personal preferences when undertaking a trip.
Our methodology is based on finding the K-shortest path for travellers where the value of each link comprises the cost of the various weighted factors based on users’ preferences, and assigning travellers to a path set according to service frequency and path cost. Case studies were conducted using the Copenhagen Central Network. It was found that, for instance, future personalised PT, could reduce user travel cost by 5.91%
Our methodology is based on finding the K-shortest path for travellers where the value of each link comprises the cost of the various weighted factors based on users’ preferences, and assigning travellers to a path set according to service frequency and path cost. Case studies were conducted using the Copenhagen Central Network. It was found that, for instance, future personalised PT, could reduce user travel cost by 5.91%
| Original language | English |
|---|---|
| Publication date | 2018 |
| Number of pages | 7 |
| Publication status | Published - 2018 |
| Event | Conference on Advanced Systems in Public Transport - Brisbane Convention Center, Brisbane, Australia Duration: 23 Jul 2018 → 25 Jul 2018 |
Conference
| Conference | Conference on Advanced Systems in Public Transport |
|---|---|
| Location | Brisbane Convention Center |
| Country/Territory | Australia |
| City | Brisbane |
| Period | 23/07/2018 → 25/07/2018 |
Keywords
- Personalised Public Transport
- Smartphone Guidance
- K-shortest Path
- Transit Assignment