Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data

Improvement of Network Performance by In-Vehicle Routing Using Floating Car Data

Klunder, G.A.
Taale, H.
Kester, L.
Hoogendoorn, S.

2017

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). © 2017 Gerdien A. Klunder et al.

Travel time
Vehicle routing
Amsterdam
Floating car data
In-vehicle systems
Loop detector data
Penetration rates
Routing decisions
Traffic situations
Value of time
Network routing
Mobility & Logistics
Urbanisation
2016 Urban Mobility & Environment
SUMS - Sustainable Urban Mobility and Safety DSS - Distributed Sensor Systems
ELSS - Earth, Life and Social Sciences Physics & Electronics

http://resolver.tudelft.nl/uuid:64017571-c4cd-422f-bf17-6e3e68eb5d1b

https://doi.org/10.1155/2017/8483750

787721

0197-6729

Journal of Advanced Transportation

article