Longitudinal Control of Heavy Trucks in Mixed Traffic: Environmental and Fuel Economy Considerations

Zhang, J.; Ioannou, Pétros

doi:10.1109/tits.2006.869597

Cited by 88 publications

(49 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Alam (2011) showed that it is possible to save up to 7.7 % fuel for the follower HDV when driving at 70 km/h on a highway with 1 s time gap between two identical vehicles. Similar results were shown by Zhang and Ioannou (2004). Robinson et al (2010) indicate a possible fuel reduction of up to 20 % when platooning.…”

Section: Introductionsupporting

confidence: 85%

When is it Fuel Efficient for a Heavy Duty Vehicle to Catch Up With a Platoon?

Liang

Mårtensson

Johansson

2013

IFAC Proceedings Volumes

View full text Add to dashboard Cite

Vehicle platooning has in recent years become an important research field for the vehicle industry. By establishing a platoon of heavy duty vehicles, the fuel consumption can be reduced for the follower vehicles due to the slipstream effect. However, as vehicles are scattered on the road driving by themselves, coordination amongst the vehicles is required. In this paper we study the problem of when it is beneficial for a heavy duty vehicle to drive faster in order to catch up and join a platoon. We derive a formula, based on flat road and with no vehicle accelerations, to calculate if it is more fuel-efficient for a vehicle to drive faster and platoon or keep driving alone. Depending on the distance between the vehicles and the distance to the destination, the fuel savings vary. For a trip of 350 km, with a distance of 10 km to the vehicle ahead, the fuel saving could be up to 7 % if the follower vehicle decides to increase the speed from 80 km/h to 90 km/h in order to catch up and form a platoon, assuming an air drag reduction of 32 % when platooning. Sensitivity analysis has shown that the speeds need to be relatively accurate in order to not give any false positive catch up decisions.

show abstract

Section: Introductionsupporting

confidence: 85%

When is it Fuel Efficient for a Heavy Duty Vehicle to Catch Up With a Platoon?

Liang

Mårtensson

Johansson

2013

IFAC Proceedings Volumes

View full text Add to dashboard Cite

show abstract

“…Robust H ∞ control method [12] was introduced to design platoon velocity profile, taking into consideration fuel consumption, road inclinations, emissions and traveling time. Zhang et al [13] discussed longitudinal control of heavy trucks for the purpose of reducing fuel consumption.…”

Section: ) Traffic Flow Optimizationmentioning

confidence: 99%

A Survey on Platoon-Based Vehicular Cyber-Physical Systems

Jia

Wang

et al. 2016

IEEE Commun. Surv. Tutorials

636

273

View full text Add to dashboard Cite

Abstract-Vehicles on the road with some common interests can cooperatively form a platoon-based driving pattern, in which a vehicle follows another one and maintains a small and nearly constant distance to the preceding vehicle. It has been proved that, compared to driving individually, such a platoon-based driving pattern can significantly improve the road capacity and energy efficiency. Moreover, with the emerging vehicular adhoc network (VANET), the performance of platoon in terms of road capacity, safety and energy efficiency, etc., can be further improved. On the other hand, the physical dynamics of vehicles inside the platoon can also affect the performance of VANET. Such a complex system can be considered as a platoon-based vehicular cyber-physical system (VCPS), which has attracted significant attention recently. In this paper, we present a comprehensive survey on platoon-based VCPS. We first review the related work of platoon-based VCPS. We then introduce two elementary techniques involved in platoon-based VCPS: the vehicular networking architecture and standards, and traffic dynamics, respectively. We further discuss the fundamental issues in platoon-based VCPS, including vehicle platooning/clustering, cooperative adaptive cruise control (CACC), platoon-based vehicular communications, etc., and all of which are characterized by the tight coupled relationship between traffic dynamics and VANET behaviors. Since system verification is critical to VCPS development, we also give an overview of VCPS simulation tools. Finally, we share our view on some open issues that may lead to new research directions.Index Terms-Platoon, Cyber-physical system (CPS), Vehicular ad-hoc network (VANET), Platoon-based vehicular communications, Cooperative adaptive cruise control (CACC), Simulator.

show abstract

“…In order to capture differences in dynamics of passenger cars, heavy trucks and ACC-equipped trucks, different car-following models are used by Zhang et al (2006). Trucks respond slowly to how the lead passenger cars change speed or location and therefore, vehicles following trucks are presented with a smoother car-following model.…”

Section: Traffic Simulation Of Adasmentioning

confidence: 99%

Simulation Based Evaluation of Advanced Driver Assistance Systems

Elyasi-Pour¹

2015

View full text Add to dashboard Cite

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

show abstract

Longitudinal Control of Heavy Trucks in Mixed Traffic: Environmental and Fuel Economy Considerations

Cited by 88 publications

References 11 publications

When is it Fuel Efficient for a Heavy Duty Vehicle to Catch Up With a Platoon?

When is it Fuel Efficient for a Heavy Duty Vehicle to Catch Up With a Platoon?

A Survey on Platoon-Based Vehicular Cyber-Physical Systems

Simulation Based Evaluation of Advanced Driver Assistance Systems

Contact Info

Product

Resources

About