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Philippe Nitsche
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Supporting large-scale travel surveys with smartphones–A practical approach
P Nitsche, P Widhalm, S Breuss, N Brändle, P Maurer
Transportation Research Part C: Emerging Technologies 43, 212-221, 2014
2012014
Transport mode detection with realistic smartphone sensor data
P Widhalm, P Nitsche, N Brändie
Proceedings of the 21st international conference on pattern recognition …, 2012
1692012
Pre-crash scenarios at road junctions: A clustering method for car crash data
P Nitsche, P Thomas, R Stuetz, R Welsh
Accident Analysis & Prevention 107, 137-151, 2017
1192017
A strategy on how to utilize smartphones for automatically reconstructing trips in travel surveys
P Nitsche, P Widhalm, S Breuss, P Maurer
Procedia-Social and Behavioral Sciences 48, 1033-1046, 2012
1052012
Comparison of machine learning methods for evaluating pavement roughness based on vehicle response
P Nitsche, R Stütz, M Kammer, P Maurer
Journal of Computing in Civil Engineering 28 (4), 04014015, 2014
622014
Requirements on tomorrow's road infrastructure for highly automated driving
P Nitsche, I Mocanu, M Reinthaler
2014 International Conference on Connected Vehicles and Expo (ICCVE), 939-940, 2014
392014
Using low-cost smartphone sensor data for locating crash risk spots in a road network
C Aichinger, P Nitsche, R Stütz, M Harnisch
Transportation research procedia 14, 2015-2024, 2016
242016
A novel, modular validation framework for collision avoidance of automated vehicles at road junctions
P Nitsche, RH Welsh, A Genser, PD Thomas
2018 21st international conference on intelligent transportation systems …, 2018
212018
Energy efficient tunnel solutions
J Peeling, M Wayman, I Mocanu, P Nitsche, J Rands, J Potter
Transportation Research Procedia 14, 1472-1481, 2016
182016
Anticipating Automated Vehicle Presence and the Effects on Interactions with Conventional Traffic and Infrastructure.
G Richter, L Grohmann, P Nitsche, G Lenz
SUMO, 230-243, 2019
132019
Safety-critical scenarios and virtual testing procedures for automated cars at road intersections
P Nitsche
Loughborough University, 2018
112018
Pro-active management of traffic incidents using novel technologies
P Nitsche, J Olstam, N Taylor, M Reinthaler, W Ponweiser, ...
Transportation research procedia 14, 3360-3369, 2016
112016
Ride comfort assessment for automated vehicles utilizing a road surface model and Monte Carlo simulations
A Genser, R Spielhofer, P Nitsche, A Kouvelas
Computer‐Aided Civil and Infrastructure Engineering 37 (10), 1316-1334, 2022
102022
Monitoring ride quality on roads with existing sensors in passenger cars
P Nitsche, C Van Geem, R Stütz, I Mocanu, L Sjögren
ARRB Conference, 26th, 2014, Sydney, New South Wales, Australia, 2014
92014
State of the art report on existing treatments for the design of forgiving roadsides
P Nitsche, P Saleh, M Helfert
ERA-NET ROAD Projekt" IRDES"-Deliverable No. 1, 2010
72010
Safety of road tunnels
C Nussbaumer, P Nitsche
Traffic safety in highway and expressway tunnels. Austrian Road Safety Board …, 2008
72008
Identification of critical ride comfort sections by use of a validated vehicle model and Monte Carlo simulations
A Genser, P Nitsche, A Kouvelas
2019 IEEE intelligent transportation systems conference (ITSC), 1644-1649, 2019
52019
The impacts of electric cars on road safety: insights from a real-world driving study
P Nitsche, M Aleksa, M Winkelbauer, M Harnisch, M Kammer
Transport research arena 5th conference, 10, 2014
52014
Costs and benefits of cooperative ITS for road authorities: the COBRA decision-support tool
SD Ball, M Van Noort, P Nitsche
9th ITS European Congress, Dublin, 2013
52013
A simulation-based concept for assessing the effectiveness of forgiving roadside treatments.
P Nitsche, R Stütz, M Helfert
Advances in Transportation Studies, 2011
52011
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