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

Autor: Serge P. Hoogendoorn, Henk Taale, Leon Kester, G. Klunder
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Economics and Econometrics
Travel time
Article Subject
Computer science
2016 Urban Mobility & Environment
Strategy and Management
In-vehicle systems
Routing decisions
Real-time computing
Penetration rates
Urbanisation
0502 economics and business
Vehicle routing problem
Traffic
Network performance
Real-time data
Amsterdam
Traffic situations
050210 logistics & transportation
Value of time
Data collection
Mechanical Engineering
Loop detector data
05 social sciences
lcsh:TA1001-1280
Floating car data
Mobility & Logistics
lcsh:HE1-9990
Vehicle routing
Computer Science Applications
Automotive Engineering
SUMS - Sustainable Urban Mobility and Safety
Network routing
ELSS - Earth
Life and Social Sciences
lcsh:Transportation engineering
lcsh:Transportation and communications
Routing (electronic design automation)
Advice (complexity)
050203 business & management
Zdroj: Journal of Advanced Transportation, 2017
Journal of Advanced Transportation, Vol 2017 (2017)
Journal of Advanced Transportation
ISSN: 0197-6729
Popis: 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.
Databáze: OpenAIRE
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