Optimal Route Algorithm Considering Traffic Light and Energy Consumption

Hu, Luojia; Zhong, Yuanxin; Hao, Wei; Moghimi, Bahman; Huang, Jing; Zhang, Xin; Du, Ruxu

doi:10.1109/access.2018.2871843

Cited by 40 publications

(17 citation statements)

References 22 publications

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“…With the tremendous advantages of deep learning method in the field of environmental awareness, the combination of perception-communication fusion technology is the mainstream solution of traffic conflicts. For intelligent vehicles, the technical difficulties that need to be solved include the fusion of environmental data, the vehicle trajectory tracking, the active collision avoidance, the improvement of positioning accuracy and communication accuracy, the route planning and driving comfort [106]- [108], etc.…”

Section: Discussionmentioning

confidence: 99%

A Review of Research on Traffic Conflicts Based on Intelligent Vehicles

Huang

et al. 2020

IEEE Access

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The traffic situation at an urban intersection is complicated, due to the numerous internal conflicts and all kinds of traffic accidents. With the objective of improving road safety, the automotive industry is moving toward intelligent vehicles. The major challenges are accurately perceiving the road traffic environment, detecting the potential traffic conflicts, and proposing the alternative driving strategies. This paper summarizes the existing researches on traffic conflicts from the perspective of intelligent vehicles. The intelligent vehicles can perceive the surrounding environment, extract road condition information, and detect obstacles for avoiding collisions or mitigating accidents. It expounds that the perception technology of intelligent vehicles can be divided into three main categories, namely, the perception technology, the communication technology, and the fusion of perception-communication technology. At the same time, the existing technical problems are analyzed. Finally, future development trends in this field are discussed. INDEX TERMS Intelligent vehicles, traffic conflicts, V2X communications, environment perception. I. INTRODUCTION

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Section: Discussionmentioning

confidence: 99%

A Review of Research on Traffic Conflicts Based on Intelligent Vehicles

Huang

et al. 2020

IEEE Access

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“…Obtaining abnormal road information in advance can effectively prevent traffic accidents, but due to road geometry, weather, lighting conditions, etc., the driver may not be able to notice the abnormal road ahead. The information-sharing technology is used to construct an abnormal road sharing system, especially encouraged by the development of the vehicle network and intelligent transportation system [17][18][19][20][21]. The road information sharing system is designed to promptly warn the driver when the driver approaches an abnormal road at a dangerous speed.…”

Section: Road Information Sharing Systemmentioning

confidence: 99%

Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor

Qiu

Gao

et al. 2020

Sensors

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In order to identify the abnormal road surface condition efficiently and at low cost, a road surface condition recognition method is proposed based on the vibration acceleration generated by a smartphone when the vehicle passes through the abnormal road surface. The improved Gaussian background model is used to extract the features of the abnormal pavement, and the k-nearest neighbor (kNN) algorithm is used to distinguish the abnormal pavement types, including pothole and bump. Comparing with the existing works, the influence of vehicles with different suspension characteristics on the detection threshold is studied in this paper, and an adaptive adjustment mechanism based on vehicle speed is proposed. After comparing the field investigation results with the algorithm recognition results, the accuracy of the proposed algorithm is rigorously evaluated. The test results show that the vehicle vibration acceleration contains the road surface condition information, which can be used to identify the abnormal road conditions. The test result shows that the accuracy of the recognition of the road surface pothole is 96.03%, and the accuracy of the road surface bump is 94.12%. The proposed road surface recognition method can be utilized to replace the special patrol vehicle for timely and low-cost road maintenance.

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“…Increasingly severe fuel consumption and environmental pollution have been strongly pushing the academia and automotive sector to actively develop and deploy fuel cell hybrid electric vehicles (FCHEVs) [1]- [4]. FCHEVs diversify energy sources of mobility, enabling a good synergy of transportation and renewables [5].…”

Section: A Motivation and Challengesmentioning

confidence: 99%

Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control

Zou

Tang

et al. 2020

IEEE Trans. Power Electron.

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280

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Energy management is an enabling technology for increasing the economy of fuel cell/battery hybrid electric vehicles. Existing efforts mostly focus on optimization of a certain control objective (e.g., hydrogen consumption), without sufficiently considering the implications for on-board power sources degradation. To address this deficiency, this article proposes a cost-optimal, predictive energy management strategy, with an explicit consciousness of degradation of both fuel cell and battery systems. Specifically, we contribute two main points to the relevant literature, with the purpose of distinguishing our study from existing ones. First, a model predictive control framework, for the first time, is established to minimize the total running cost of a fuel cell/battery hybrid electric bus, inclusive of hydrogen cost and costs caused by fuel cell and battery degradation. The efficacy of this framework is evaluated, accounting for various sizes of prediction horizon and prediction uncertainties. Second, the effects of driving and pricing scenarios on the optimized vehicular economy are explored.

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Optimal Route Algorithm Considering Traffic Light and Energy Consumption

Cited by 40 publications

References 22 publications

A Review of Research on Traffic Conflicts Based on Intelligent Vehicles

A Review of Research on Traffic Conflicts Based on Intelligent Vehicles

Abnormal Road Surface Recognition Based on Smartphone Acceleration Sensor

Cost-Optimal Energy Management of Hybrid Electric Vehicles Using Fuel Cell/Battery Health-Aware Predictive Control

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