Print Email Facebook Twitter Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data Title Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data Author Klunder, G.A. (TNO) Taale, Henk (TU Delft Transport and Planning) Kester, L (TNO) Hoogendoorn, S.P. (TU Delft Transport and Planning) Date 2017-12-05 Abstract 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). To reference this document use: http://resolver.tudelft.nl/uuid:7cfdb828-e793-4ac8-b068-c8b3151b96a2 DOI https://doi.org/10.1155/2017/8483750 ISSN 0197-6729 Source Journal of Advanced Transportation, 2017 Part of collection Institutional Repository Document type journal article Rights © 2017 G.A. Klunder, Henk Taale, L Kester, S.P. Hoogendoorn Files PDF 8483750.pdf 4.87 MB Close viewer /islandora/object/uuid:7cfdb828-e793-4ac8-b068-c8b3151b96a2/datastream/OBJ/view