Dynamic Decision Making System for Public Transport Routes

Spichkova, Maria; Hamilton, Margaret

doi:10.4018/ijsda.2016070103

Cited by 7 publications

(2 citation statements)

References 28 publications

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“…Road roughness is a main source of vibration in vehicles and a well-known cause of wear and damage to sensitive payloads, to the vehicle itself, as well as to bridges and pavements. Research on vehicles are always the primary interest of scientific society (Elkady, Elmarakbi, MacIntyre, & Alhariri, 2016;Kizito, & Semwanga, 2020;Spichkova, & Hamilton, 2016;Joshi, & Talange, 2016). However, suspension is the significant member of the vehicle structure which impact the whole vehicle dynamics.…”

Section: Introductionmentioning

confidence: 99%

Computational Framework of Various Semi-Active Control Strategies for Road Vehicles Thorough Bondgraphs

Gupta¹,

Bharadwaj

Rastogi

2021

International Journal of System Dynamics Applications

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Vehicle suspension system plays a vital role in diminishing the vibration caused by the road roughness and prevent it from transmitting to the driver and the passenger. The semi-active suspensions contain spring and damping elements with variable properties, which can be changed by an external control. The work presented here is concerned with semi-active damper control for vibration isolation of base disturbances. Numerous control algorithms for semi active system had been suggested in the past, performed experimentally and validated with various computational models.In this work, the 2-DOF quarter car model with semi-active suspension, controlled by skyhook and balance logic with on-off and continuous control algorithms is being studied.The computational models are subjected to various road profiles like single half sine bump, random road disturbanceas typical Indian road scenario. So that the performance can be done as real time inputs. The simulation is being carried out on Matlab or Simulink.

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Section: Introductionmentioning

confidence: 99%

Computational Framework of Various Semi-Active Control Strategies for Road Vehicles Thorough Bondgraphs

Gupta¹,

Bharadwaj

Rastogi

2021

International Journal of System Dynamics Applications

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“…vehiclebodycrashparametersandthesecondmodelaimedtopredicttheeffectofvehicledynamics controlsystem(VDCS)whichshowedthattheVDCScanpositivelyaffectthecrashcharacteristics andimproveoccupantbehavior. Spichkova(2016)inastudytounderstandthedynamicdecisionmakingsystemforpublictransportrouteswhichfocusedonenvironmental,societal,spatialplanning andoptimizationforsmartercitiesandusersatisfactionforpassengersanddrivers. Cruz-Cantillo (2014)builtasystemdynamicsmodelfortheforecasting,prioritization,anddistributionofcritical suppliesduringreliefoperationsincaseofahurricaneevent,whileintegratingGISinformation.…”

Section: Introductionmentioning

confidence: 99%

Modeling the Complexity of Road Accidents Prevention

Kizito

Semwanga

2020

International Journal of System Dynamics Applications

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Simplistic representations of traffic safety disregard the dynamic interactions between the components of the road transport system (RTS). The resultant road accident (RA) preventive measures are consequently focused almost solely on individual/team failures at the sharp end of the RTS (mainly the road users). The RTS is complex and therefore cannot be easily understood by studying the system parts in isolation. The study modeled the occurrence of road accidents in Uganda using the dynamic synthesis methodology (DSM). This article presents the work done in the first three stages of the DSM. Data was collected from various stakeholders including road users, traffic police officers, road users, and road constructors. The study focused on RA prevention by considering the linear and non-linear interactions of the variables during the pre-crash phase. Qualitative models were developed and from these, key leverage points that could possibly lower the road accident incidences demonstrating the need for a shared system wide responsibility for road safety at all levels are suggested.

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A Study on the Transportation Mode Choice Behaviour of Individuals With Different Socio-Economic Status

Bajracharya¹

2018

Advances in System Dynamics and Control

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This chapter presents a study on the transportation mode choice behaviour of individuals with different socio-economic status. A previously developed system dynamics model has been adopted by differentiating the population mass into upper, middle, and lower classes. The simulation experiments with the model revealed that generally the upper class individuals would be more inclined to use a private car (PC) instead of public transportation (PT) when their tendency is compared to middle and lower class individuals. It was also observed that lower class individuals would be more willing to use PT instead of PC when their tendency is compared to middle and upper class individuals. As such, it would be difficult to encourage the upper class individuals to use PT instead of PC, and it would be successively easier to do so in the case of middle and lower class individuals. However, the results also indicated that under certain different circumstances, the upper class individuals would also prefer to go for PT, and the lower class ones could prefer to own and use PC instead of PT.

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Dynamic Decision Making System for Public Transport Routes

Cited by 7 publications

References 28 publications

Computational Framework of Various Semi-Active Control Strategies for Road Vehicles Thorough Bondgraphs

Computational Framework of Various Semi-Active Control Strategies for Road Vehicles Thorough Bondgraphs

Modeling the Complexity of Road Accidents Prevention

A Study on the Transportation Mode Choice Behaviour of Individuals With Different Socio-Economic Status

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