Browsing by Author "Kural, K."

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Optimal path planning for rearward docking of articulated vehicles
Pauwelussen, J.P. ; Kural, K.
2021, Article in monograph or in proceedings (16th International symposium on heavy vehicle transportation technology : China 2021)
Scaled Test Environment for Testing ITS Applications
Kusumakar, Rakshith ; Tomar, A.S. ; Pyman, B.J. ; Kural, K. ; Tillema, F.
2021, Article in monograph or in proceedings (26th ITS World Congress Singapore 2019, EU-TP1992)
Intelligent Access Policy ensuring the right vehicle on the right road at the right time
Kural, K. ; van Kempen, E. ; Kraaijenhagen, B. ; Asp, T. ; Aarts, L. ; Wandel, S.
2021, Article in monograph or in proceedings (27th ITS World Congress)
Analysis of high capacity vehicles for Europe: application of performance based standards and improving manoeuvrability
Kural, K.
2019, Dissertation
Path following bi-directional controller for articulated vehicles
Kural, K. ; Kusumakar, Rakshith ; Tomar, A.S. ; Naren, A.
2019, Article in monograph or in proceedings (HVTT15)Docking or parking articulated vehicles is a difficult task which further becomes complex with increasing number of articulations, which can be arduous for even professional drivers. Driver’s limited view and perception coupled with divergent instability of articulated vehicles in reverse motion are the primary reasons of complexity of the maneuver. For such, a driver support system is developed using a path following controller based on a virtual tractor principle. This paper presents the control problem formulation together with brief descriptions of relevant components of the closed-loop. An optimization routine is also presented which can be used to tune the controller gains. A proof of concept is presented for a single articulated vehicle using simulations and a second proof of concept is demonstrated using scaled test setup, which also indicates that the presented controller can be implemented in full scale vehicle. Due to a generic description presented in this paper, the controller is flexible and can be extended for double articulated vehicles.
Dolly Steering Controller for Enhancing Low-and High-Speed Performance of High Capacity Vehicles
Tomar, A.S. ; Kalose, Abhishek ; Kural, K. ; Pauwelussen, J.P.
2019, Article in monograph or in proceedings (Klomp, M.; Bruzelius, F.; Nielsen, J. (ed.), Advances in Dynamics of Vehicles on Roads and Tracks. IAVSD 2019. Lecture Notes in Mechanical Engineering, pp. 1278-1287)The adaptation of high capacity vehicles (HCVs) into existing commercial vehicle fleets have been considered a potential solution for reducing emissions, operational costs and infrastructure damages. However, due to increased length and number of articulations, there are challenges associated with HCVs with regard to their manoeuvrability at low-speeds and stability at high-speeds. This paper presents a Virtual Rigid Axle Command Steering control strategy for dolly steering, due to which both low- and high-speed performance of HCVs may be improved significantly compared to their conventional version with non-steered dolly. To demonstrate this, two HCVs, namely, A-double (tractor-semitrailer-dolly-semitrailer) and LHV-D (truck-dolly-semitrailer) are considered in this work.
Advanced vehicle dynamics of heavy trucks with the perspective of road safety
Stensson Trigell, A. ; Rothhämel, M. ; Pauwelussen, J.P. ; Kural, K.
2017, Article / Letter to editor (Journal Vehicle System Dynamics, (2017))
An Integrated Testing and Model Based Design Approach for Semi-Trailer Weight Reduction : 11th Heavy Vehicle Transport Technology symposium, Melbourne
Visscher, C. ; Merts, M. ; Pauwelussen, J.P. ; Kural, K.
2010, Article in monograph or in proceedings (11th Heavy Vehicle Transport Technology symposium, Melbourne)The paper discusses the derivation of test data for three tractor-semitrailer combinations, to be used for strength and durability analysis of semi-trailers with the ultimate goal to reduce the semitrailer mass. Mathematical relationships have been used to transfer these data to representative loading data for the semi-trailer, in terms of forces and moments in all directions at the axles and king-pin, being used to optimize weight without compromising the vehicle resistance to fatigue. These activities have been the starting point of a follow-up project FORWARD (Fuel Optimised trailer Referring to Well Assessed Realistic Design loads) including now eleven different trailer manufacturers, and the Dutch Chassis and Body work association FOCWA. FORWARD will extend the previous approach with the objective to lower the trailer weight in order to improve the ratio of payload to fuel consumption. FORWARD consists of the following steps (1) a testing program, the larger part of which corresponds to normal use for a representative period, (2) to apply these data to validate a vehicle model allowing the derivation of representative loading data, and exploration of the effect of design changes on these loading data, (3) to apply these loading data for further FEM analysis of the global chassis and of local critical points.

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Browsing by Author "Kural, K."

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