Hardware-in-the-loop testbed for evaluating connected vehicle applications

Zulkefli, Mohd Azrin Mohd; Mukherjee, Pratik; Sun, Zongxuan; Zheng, Jianfeng; Liu, Henry; Huang, Peter

doi:10.1016/j.trc.2017.02.019

Cited by 48 publications

(23 citation statements)

References 38 publications

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“…A large number of studies have shown (or, at least, discussed the prospect of) the connectivity capability of vehicles and its role in providing significant improvements to the transportation system in terms of safety, mobility, and efficiency (Goodall et al, 2013;Lu et al, 2014;Uhlemann, 2015;Talebpour and Mahmassani, 2016;Mohd Zulkefli et al, 2017;Zheng and Liu, 2017;Chen, 2019;USDOT, 2019;Dong et al, 2020a;Du et al, 2020;Li et al, 2020a). While cetain specific benefits pertain to individual connected vehicles, much of the systemic and systemwide benefits to the transportation system are expected be manifest when CV market adoption is high (Ma et al, 2012;Lu et al, 2014Lu et al, , 2015Khondaker and Kattan, 2015;Auld et al, 2017;Zheng and Liu, 2017).…”

Section: A Synopsis Of the Concepts Vehicle Connectivitymentioning

confidence: 99%

Vehicle Connectivity and Automation: A Sibling Relationship

Chen

et al. 2020

Front. Built Environ.

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The evolution of scientific advances has often been characterized by the amalgamation of two or more technologies. With respect to vehicle connectivity and automation, recent literature suggests that these two emerging transportation technologies can and will jointly and profoundly shape the future of transportation. However, it is not certain how the individual and synergistic benefits to be earned from these technologies is related to their prevailing levels of development. As such, it may be considered useful to revisit the primary concepts of automation and connectivity, and to identify any current and expected future synergies between them. Doing this can help generate knowledge that could be used to justify investments related to transportation systems connectivity and automation. In this discussion paper, we attempt to address some of these issues. The paper first reviews the technological concepts of systems automation and systems connectivity, and how they prospectively, from an individual and collective perspective, impact road transportation efficiency and safety. The paper also discusses the separate and common benefits of connectivity and automation, and their possible holistic effects in terms of these benefits where they overlap. The paper suggests that at the current time, the sibling relationship seems to be lopsided: vehicle connectivity has immense potential to enhance vehicle automation. Automation, on the other hand, may not significantly promote vehicle connectivity directly, at least not in the short term but possibly in the long term. The paper argues that future trends regarding market adoption of these two technologies and their relative pace of advancement or regulation, will shape the future synergies between them.

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Section: A Synopsis Of the Concepts Vehicle Connectivitymentioning

confidence: 99%

Vehicle Connectivity and Automation: A Sibling Relationship

Chen

et al. 2020

Front. Built Environ.

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“…shows the structured programming of socket on both sides where the ambulance is considered as a server computer while the other cars in the road are a client. [15,16].…”

Section: Socket Programming and Interfacementioning

confidence: 99%

Smart Ambulance: Speed Clearance in the Internet of Things paradigm using Voice Chat

Hussein¹,

Shujaa²

2019

Adv. sci. technol. eng. syst. j.

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In recent years, researchers have focused on the development of many applications of information and communication which could lead to enhance human life. The congestion and road traffic are one of the most problems facing the ambulance transportation to provide fast healthcare services for patients. In this work, a tracking and data transfer system has been introduced such that a central monitoring and tracking unit can observe ambulance using MQTT protocol where each vehicle is occupied with the embedded system unit. When an ambulance being on the road it will communicate with other cars by means of socket communication whenever the ambulance enters a new region of the city. Chat between drivers has been designed using speech recognition library-based Google API. The proposed system has been designed and implemented using a python source network programming.

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“…HiL is widely used in aircraft and aerospace industries, vehicle systems, power systems, robotics, and marine systems [23]. Research on HiL approaches to automobile systems has mainly focused on the development of electronic control units for power systems [24], adaptive cruise control [25], hybrid vehicle EMS validation [26,27], and vehicle communication validation [28]. In recent years, it has become increasingly important to develop a new method of HiL, as improvements in electrification technology have made the power systems more complex, but also more efficient [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Design and Validation of Energy Management Strategy for Extended-Range Fuel Cell Electric Vehicle Using Bond Graph Method

Song

Wang

An³

et al. 2021

Energies

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In view of the aggravation of global pollution and greenhouse effects, fuel cell electric vehicles (FCEVs) have attracted increasing attention, owing to their ability to release zero emissions. Extended-range fuel cell vehicles (E-RFCEVs) are the most widely used type of fuel cell vehicles. The powertrain system of E-RFCEV is relatively complex. Bond graph theory was used to model the important parts of the E-RFCEV powertrain system: Battery, motor, fuel cell, DC/DC, vehicle, and driver. In order to verify the control effect of energy management strategy (EMS) in a real-time state, bond graph theory was applied to hardware-in-the-loop (HiL) development. An HiL simulation test-bed based on the bond graph model was built, and the HiL simulation verification of the energy management strategy was completed. Based on the comparison to a power-following EMS, it was found that fuzzy logic EMS is more adaptive to vehicle driving conditions. This study aimed to apply bond graph theory to HiL simulations to verify that bond graph modeling is applicable to complex systems.

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Hardware-in-the-loop testbed for evaluating connected vehicle applications

Cited by 48 publications

References 38 publications

Vehicle Connectivity and Automation: A Sibling Relationship

Vehicle Connectivity and Automation: A Sibling Relationship

Smart Ambulance: Speed Clearance in the Internet of Things paradigm using Voice Chat

Design and Validation of Energy Management Strategy for Extended-Range Fuel Cell Electric Vehicle Using Bond Graph Method

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