Vehicle Trajectory Effects of Adaptive Cruise Control

Tapani, Andreas

doi:10.1080/15472450.2012.639641

Cited by 40 publications

(13 citation statements)

References 19 publications

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“…The approach developed here represents a further development of the combined traffic and vehicle simulation presented by Tapani (2012). The commercial traffic simulation software, Vissim (Fellendorf et al 2010), was combined with a vehicle simulation model from Volvo's proprietary global simulation platform (GSP).…”

Section: Combining Simulation Methodsmentioning

confidence: 99%

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Simulation Based Evaluation of Advanced Driver Assistance Systems

Elyasi-Pour¹

2015

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Road transportation is an essential element of mobility in most countries and we can observe an increasing demand for both goods and passenger traffic. There are however important societal and economical problems related to road transportation in terms of congestions, traffic safety and environmental effects. During the last decades vehicles have increasingly been equipped with different types of Advanced Driver Assistance Systems (ADAS). These systems can to some extent compensate for human behaviour and errors that cause congestions, accidents and air pollution. Most studies conducted to evaluate ADAS have focused on ADAS impacts on the driver or on the vehicle. Since an ADAS might influence not only driving behaviour and vehicle dynamics, but also the interaction between equipped and non-equipped vehicles, it is also important to consider the resulting effect on the traffic system. A reliable and realistic evaluation approach needs to include estimations of drivers' decisions in different traffic situations with respect to the ADAS functionality and how such decisions affect the traffic system as a whole.The overall aim of the thesis is to develop a simulation based evaluation framework for investigations of impacts of different types of cruise controllers on the traffic system. The objective is also to apply the framework to evaluate a fuel minimizing cruise controller for trucks, the Look Ahead Cruise Control (LACC). The framework developed consists of a combination of a microscopic traffic simulation model, and a vehicle and ADAS simulation model. When applied for a specific ADAS, as for example the LACC, the framework needs to be complemented with a driver model that captures the changes in driving behaviour due to the system of interest. In this thesis a driver model for LACC equipped trucks was developed based on results from a driving simulator experiment, a field operational test, and a focus group study. Simulation experiments were carried out to observe the LACC impacts on the traffic system with respect to penetration rate, traffic density, and variation in the desired speed. Environmental effects were estimated using emission calculations.The results show that an increase in traffic flow influences LACC-trucks more than CC-trucks with respect to fuel consumption and emissions. However, the results also show lower fuel consumption and emissions for LACC-trucks despite increased traffic flow. Increased penetration rate of LACC-trucks does not show any negative effect on traffic efficiency. iv v Acknowledgments

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Section: Combining Simulation Methodsmentioning

confidence: 99%

“…Therefore, interaction between the driver and ACC as well as the impacts on the traffic have been extensively investigated, see e.g. Davis (2004), Klunder et al (2009), Pauwelussen et al (2010 and Tapani (2012).…”

Section: Adaptive Cruise Controlmentioning

confidence: 99%

Simulation Based Evaluation of Advanced Driver Assistance Systems

Elyasi-Pour¹

2015

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“…On the other hand, frequent and sharp acceleration and deceleration significantly consume more fuel and thus emit more exhaust [17]. Therefore, to bring more comfortable driving experience and to reduce fuel consumption, we will design a driving strategy that smooth the acceleration and deceleration.…”

Section: A the Design Objectivesmentioning

confidence: 99%

“…To evaluate the overall acceleration and deceleration during the disturbance period, we utilize the metric of acceleration noise [17], which is defined as the standard deviation of acceleration:…”

Section: A the Design Objectivesmentioning

confidence: 99%

“…The second issue is that most existing studies focus on how to maintain the stability of a platoon (e.g., constant intraplatoon spacing), and do not address how to mitigate negative effects of traffic disturbances, such as uncomfortable passenger experience, increased fuel consumption, and increased exhaust emission. In practice, traffic disturbances could cause frequently and sharply accelerating and decelerating, which results in not only the uncomfortable driving patterns, but also significant fuel consumption and exhaust emissions [17]. In this case, it will be desirable to utilize the capability of VANET to mitigate such negative effects.…”

Section: Introductionmentioning

confidence: 99%

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A Disturbance-Adaptive Design for VANET-Enabled Vehicle Platoon

Jia

Wang

2014

IEEE Trans. Veh. Technol.

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Abstract-In highway systems, grouping vehicles into platoons can improve road capacity and energy efficiency. With the advance of technologies, the performance of platoons can be further enhanced by vehicular ad-hoc network (VANET). In the past few years, many studies have been conducted on the dynamics of VANET-enabled platoon under traffic disturbance, which is a common scenario on a highway. However, most of them do not consider the impact of platoon dynamics on the behaviors of VANET. Moreover, most existing studies focus on how to maintain the stability of a platoon, and do not address how to mitigate negative effects of traffic disturbance, such as uncomfortable passenger experience, increased fuel consumption, and increased exhaust emission. In this paper, we will investigate the dynamics of VANET-enabled platoon from an integrated perspective. In particular, we first propose a novel disturbanceadaptive platoon (DA-Platoon) architecture, in which a platoon controller shall adapt to the disturbance scenario and shall consider both VANET and platoon dynamics requirements. Based on a specific realization of the DA-Platoon architecture, we then analyze the traffic dynamics inside a platoon and derive desired parameters, including intra-platoon spacing and platoon size, so as to satisfy VANET constraints under traffic disturbance. To mitigate the adverse effects of traffic disturbance, we also design a novel driving strategy for the leading vehicle of platoon, with which we can determine the desired inter-platoon spacing. Finally, we conduct extensive simulation experiments, which not only validate our analysis but also demonstrate the effectiveness of the proposed driving strategy.Index Terms-Vehicle platoon, traffic disturbance, vehicular ad-hoc networks (VANET), platoon dynamics, platoon parameters, driving strategy, disturbance-adaptive platoon (DA-Platoon), Intelligent Driver Model (IDM).

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