Lateral Dynamics of Commercial Vehicle Combinations A Literature Survey

Vlk, F.

doi:10.1080/00423118208968702

Cited by 32 publications

(21 citation statements)

References 22 publications

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“…On vehicle performance, Vlk [9] simulated the response time and operation method of drivers on unbalanced vehicles. Pflug [10] conducted 3D simulations how different combinations of tractor and trailer change in lateral stability, damping performance and vibration frequency, under extreme driving conditions.…”

Section: Relevant Studies On the D-p Transportmentioning

confidence: 99%

“…In this case, the single-hub H-S D-P network can no longer satisfy the demand, and should be replaced with a multi-hub network. (2) 1.000000 X (5,9) 0.7000000 P (3) 1.000000 X (6,9) 2.230000 P (8) 1.000000 Y (2,4) 0.7090000 P (9) 1.000000 Y (2,5) 0.7120000 X (1,9) 2.000000 Y (3,3…”

Section: Empirical Analysis On the Model Of Traditional Freight Statimentioning

confidence: 99%

“…Then, the following results were obtained through calculation (as shown in Table 9). (2) 1.000000 P (3) 1.000000 P (8) 1.000000 P (9) 1.000000 X (1,9) 2.101500 X (2,8) 2.221000 X (3,3) 1.513500 X(4,2)…”

Section: Empirical Analysis On the Model Of Shared Freight Station Dementioning

confidence: 99%

“…1.706000 X (5,2) 0.099 X (5,9) 0.8850000 X (6,9) 2.569000 Y (2,4) 0.6100000 Y (2,5) 1.195000 Y(8,1) 1.530000 Y (8,2) 0.6910000 Y (3,3) 1.513500 Y (9,2) 0.9385000 Y (9,5) 0.1339000 Y (9,6) 4.483100 Total cost RMB 156.35 million yuan Therefore, alternative freight stations 2, 3, 8 and 9 were selected for transport services.…”

Section: Empirical Analysis On the Model Of Shared Freight Station Dementioning

confidence: 99%

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Optimization of Drop-and-Pull Transport Network Based on Shared Freight Station and Hub-and-Spoke Network

Feng¹,

Cheng²

2019

JESA

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The current drop-and-pull (D-P) transport process has many defects, including but not limited to the insufficient information sharing, the private ownership of vehicles and infrastructure, and the mismatch between vehicles and goods. Moreover, the hardware and software of existing freight stations fall short of the demand for D-P transport. To solve these problems, this paper optimizes the design of the D-P transport network based on shared freight station and the hub-and-spoke (H-S) network. The freight stations were taken as the hubs, and the routes between supply/demand point and freight station are treated as spokes. On this basis, an optimization model was established to minimize the total cost of freight stations and maximize the force from freight stations on supply/demand points in the H-S D-P network. In addition, all the supply/demand points in the region are covered by the selected freight stations. The LINGO software was introduced to solve the established model. Taking a region in southern China for example, the proposed shared freight station design was compared with the traditional freight station design. The results show that the single-hub H-S D-P network obtained by the traditional design could meet the demand when the D-P demand was relatively small; however, only the multi-hub H-S D-P network obtained by the shared freight station design could fulfil a large D-P demand in an efficient manner. The research findings show that the shared freight station is the future of D-P transport.

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Section: Relevant Studies On the D-p Transportmentioning

confidence: 99%

Section: Empirical Analysis On the Model Of Traditional Freight Statimentioning

confidence: 99%

Section: Empirical Analysis On the Model Of Shared Freight Station Dementioning

confidence: 99%

Section: Empirical Analysis On the Model Of Shared Freight Station Dementioning

confidence: 99%

See 2 more Smart Citations

Optimization of Drop-and-Pull Transport Network Based on Shared Freight Station and Hub-and-Spoke Network

Feng¹,

Cheng²

2019

JESA

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“…Since the latter 1930s, research on lateral dynamics of articulated vehicles has focused on tractor-semitrailer combinations (2) . In contrast, there are fewer studies of truck-full-trailer combinations than of tractor-semitrailer combinations because truck-full-trailer combinations have become popular in Europe, but not in the USA (3) .…”

Section: Introductionmentioning

confidence: 99%

Directional Stability of Multi-Articulated Vehicles with Multiple Axles

Aoki

Marumo

Kageyama

2011

JMTL

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This paper presents a theoretical study on the directional stability of multi-articulated vehicles with multiple axles. The vehicle dynamics model is derived in the horizontal plane having degrees of freedom of vehicle side-slipping and yawing. For an equal vertical load of each axle as well as an equal cornering coefficient of each wheel of the multiple axles, the equations of motion can be reduced to ones with a single axle and additional terms that are functions of the number of axles and the distances between them. Two types of tractor and double-trailer combinations with multiple axles are examined with regard to straight running stability as well as steering sensitivity in steady-state turning. Non-oscillatory stability incorporating steering sensitivity is analyzed using the stability factor of multiple-axle vehicle combinations. A parameter study of oscillatory stability and steering sensitivity is conducted, and the following conclusions are drawn. (1) The terms on multiple axles are added in the tractor yawing moment and part of the trailer yawing moment. (2) Multiple-axle vehicles differ from single-axle vehicles in non-oscillatory stability and steering sensitivity. (3) A multiple-axle dolly improves oscillatory stability.

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Commercial Trucks and Buses in Automated Highway Systems

Kanellakopoulos

Tomizuka

1997

Automated Highway Systems

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Lateral Dynamics of Commercial Vehicle Combinations A Literature Survey

Cited by 32 publications

References 22 publications

Optimization of Drop-and-Pull Transport Network Based on Shared Freight Station and Hub-and-Spoke Network

Optimization of Drop-and-Pull Transport Network Based on Shared Freight Station and Hub-and-Spoke Network

Directional Stability of Multi-Articulated Vehicles with Multiple Axles

Commercial Trucks and Buses in Automated Highway Systems

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