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Main Title: Using real-world traffic incident data in transport modeling
Author(s): Kaddoura, Ihab
Nagel, Kai
Type: Article
Language Code: en
Abstract: This study incorporates real-world traffic incident data into a transport simulation and analyzes the impact of roadworks, accidents and other incident types on the transport system. Traffic incidents are modeled as a reduction in road capacity to which transport users can react by adjusting their transport routes. Depending on the type of traffic incident, i.e. long-term vs. short-term effect, a different behavioral reaction is implemented which reflects a different assumption regarding the transport users level of knowledge. Simulation experiments for the Greater Berlin area indicate that traffic incidents cause an increase in average travel time per car trip of 5-7 minutes. Also, over a long period of time, traffic incidents have a significant effect on the transport system: On an average working day, for almost half of all car trips, transport users either travel on a road (segment) which is affected by a traffic incident or bypass such a road (segment). Overall, this study highlights the importance to account for traffic incidents in transport modeling. Accounting for traffic incidents allows to quantify the effects from roadworks, accidents and other incident types. Furthermore, the simulation of traffic incidents makes the model more realistic and allows for an improved policy evaluation and decision-making.
Issue Date: 2018
Date Available: 26-Nov-2018
DDC Class: 380 Handel, Kommunikation, Verkehr
004 Datenverarbeitung; Informatik
Subject(s): traffic incidents
traffic message channel (TMC)
non-recurrent congestion
Journal Title: Procedia Computer Science
Publisher: Elsevier
Publisher Place: Amsterdam [u.a.]
Volume: 130
Publisher DOI: 10.1016/j.procs.2018.04.084
Page Start: 880
Page End: 885
ISSN: 1877-0509
Appears in Collections:FG Verkehrssystemplanung und Verkehrstelematik » Publications

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