Review of the State of Development of Advanced Vehicle Control Systems (AVCS)

Schladover, Steven E

doi:10.1080/00423119508969108

Cited by 236 publications

(73 citation statements)

References 82 publications

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“…Although vehicle automation has been on the horizon for just as long [1], it is only since the turn of the century that it has started to find its way into production vehicles. Current low-level automated vehicles have technologies such as (adaptive) cruise control and lane-keeping assistance.…”

Section: Introductionmentioning

confidence: 99%

Will Automated Vehicles Negatively Impact Traffic Flow?

Calvert

Schakel

Lint

2017

Journal of Advanced Transportation

151

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With low-level vehicle automation already available, there is a necessity to estimate its effects on traffic flow, especially if these could be negative. A long gradual transition will occur from manual driving to automated driving, in which many yet unknown traffic flow dynamics will be present. These effects have the potential to increasingly aid or cripple current road networks. In this contribution, we investigate these effects using an empirically calibrated and validated simulation experiment, backed up with findings from literature. We found that low-level automated vehicles in mixed traffic will initially have a small negative effect on traffic flow and road capacities. The experiment further showed that any improvement in traffic flow will only be seen at penetration rates above 70%. Also, the capacity drop appeared to be slightly higher with the presence of low-level automated vehicles. The experiment further investigated the effect of bottleneck severity and truck shares on traffic flow. Improvements to current traffic models are recommended and should include a greater detail and understanding of driver-vehicle interaction, both in conventional and in mixed traffic flow. Further research into behavioural shifts in driving is also recommended due to limited data and knowledge of these dynamics.

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Section: Introductionmentioning

confidence: 99%

Will Automated Vehicles Negatively Impact Traffic Flow?

Calvert

Schakel

Lint

2017

Journal of Advanced Transportation

151

View full text Add to dashboard Cite

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“…A broad review on advanced vehicle control system has been provided in [2]. To reduce driver's mistake an autonomous cruise control system has been developed in [3].…”

Section: Introductionmentioning

confidence: 99%

Design of Autonomous Cruise Controller with Linear Time Varying Model

Chang¹,

Yoon²,

Lee³

et al. 2015

Journal of Electrical Engineering and Technology

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-Cruise control is a technology for automatically maintaining a steady speed of vehicle as set by the driver via controlling throttle valve and brake of vehicle. In this paper we investigate cruise controller design method with consideration for distance to vehicle ahead. We employ linear time varying (LTV) model to describe longitudinal vehicle dynamic motion. With this LTV system we approximately model the nonlinear dynamics of vehicle speed by frequent update of the system parameters. In addition we reformulate the LTV system by transforming distance to leading vehicle into variation of system parameters of the model. Note that in conventional control problem formulation this distance is considered as disturbance which should be rejected. Consequently a controller can be designed by pole placement at each instance of parameter update, based on the linear model with the present system parameters. The validity of this design method is examined by simulation study.

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“…Since an ADAS can even autonomously intervene, an ADAS-equipped vehicle is popularly referred to as an 'intelligent vehicle'. As explained in more detail in several surveys [4][5][6][7], the following types of intelligent vehicle systems can be distinguished:…”

Section: Introductionmentioning

confidence: 99%