Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data
This paper describes a study which gives insight into the size of improvement that is possible with individual in-car routing advice based on the actual traffic situation derived from floating car data (FCD). It also gives an idea about the required penetration rate of floating car data needed to ac...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2017-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2017/8483750 |
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| author | Gerdien A. Klunder Henk Taale Leon Kester Serge Hoogendoorn |
| author_facet | Gerdien A. Klunder Henk Taale Leon Kester Serge Hoogendoorn |
| author_sort | Gerdien A. Klunder |
| collection | DOAJ |
| description | This paper describes a study which gives insight into the size of improvement that is possible with individual in-car routing advice based on the actual traffic situation derived from floating car data (FCD). It also gives an idea about the required penetration rate of floating car data needed to achieve a certain degree of improvement. The study uses real loop detector data from the region of Amsterdam collected for over a year, a route generating algorithm for in-car routing advice, and emulated floating car data to generate the routing advice. The case with in-car routing advice has been compared to the base case, where drivers base their routing decisions on average knowledge of travel times in the network. The improvement in total delay using the in-vehicle system is dependent on penetration rate and accuracy of the floating car data and varies from 2.0% to 3.4% for 10% penetration rate. This leads to yearly savings of about 15 million euros if delay is monetarised using standard prices for value of time (VOT). |
| format | Article |
| id | doaj-art-155f8de73b244e9fa7de0b435d4aabdf |
| institution | OA Journals |
| issn | 0197-6729 2042-3195 |
| language | English |
| publishDate | 2017-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-155f8de73b244e9fa7de0b435d4aabdf2025-08-20T02:02:40ZengWileyJournal of Advanced Transportation0197-67292042-31952017-01-01201710.1155/2017/84837508483750Improvement of Network Performance by In-Vehicle Routing Using Floating Car DataGerdien A. Klunder0Henk Taale1Leon Kester2Serge Hoogendoorn3TNO, Sustainable Urban Mobility and Safety, The Hague, NetherlandsDepartment of Transport & Planning, Delft University of Technology, Delft, NetherlandsTNO, The Hague, NetherlandsDepartment of Transport & Planning, Delft University of Technology, Delft, NetherlandsThis paper describes a study which gives insight into the size of improvement that is possible with individual in-car routing advice based on the actual traffic situation derived from floating car data (FCD). It also gives an idea about the required penetration rate of floating car data needed to achieve a certain degree of improvement. The study uses real loop detector data from the region of Amsterdam collected for over a year, a route generating algorithm for in-car routing advice, and emulated floating car data to generate the routing advice. The case with in-car routing advice has been compared to the base case, where drivers base their routing decisions on average knowledge of travel times in the network. The improvement in total delay using the in-vehicle system is dependent on penetration rate and accuracy of the floating car data and varies from 2.0% to 3.4% for 10% penetration rate. This leads to yearly savings of about 15 million euros if delay is monetarised using standard prices for value of time (VOT).http://dx.doi.org/10.1155/2017/8483750 |
| spellingShingle | Gerdien A. Klunder Henk Taale Leon Kester Serge Hoogendoorn Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data Journal of Advanced Transportation |
| title | Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data |
| title_full | Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data |
| title_fullStr | Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data |
| title_full_unstemmed | Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data |
| title_short | Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data |
| title_sort | improvement of network performance by in vehicle routing using floating car data |
| url | http://dx.doi.org/10.1155/2017/8483750 |
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