AVPark: Reservation and Cost Optimization-Based Cyber-Physical System for Long-Range Autonomous Valet Parking (L-AVP)

Khalid, Muhammad; Cao, Yue; Aslam, Nauman; Raza, Mohsin; Moon, Alun; Zhou, Huan

doi:10.1109/access.2019.2930564

Cited by 16 publications

(10 citation statements)

References 26 publications

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“…In this work we consider equivalent parking fees for all CPs, since the customer queueing at CPs and travel cost for AVs are the major concern for effective CP-selection. While parking cost has been taken into account in some research works [12], how and in what scale it should have an impact on CP-selection decision-making worth further analysis. If price plays an important role, a CP distant from customer D/P point but with lower parking pricing can quickly become a hotspot, while the one in proximity with higher parking pricing but more parking space is less favored.…”

Section: Cp-selection Logicmentioning

confidence: 99%

Reservation Enhanced Autonomous Valet Parking Concerning Practicality Issues

Zhang¹,

Yuan

Cao

et al. 2022

IEEE Systems Journal

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Advances in automotive industry as well as computing technology are making autonomous vehicle (AV) an appealing means of transportation. Vehicles are beyond the traditional source of commute, and leveled up to smart devices with computing capability. As one of the compelling feature of AVs, the autonomous valet parking (AVP) allows for navigating and parking the car automatically without human interventions. Within this realm, Long-range AVP (LAVP) extends auto-parking to a much larger scale compared to its short-range counterparts. It is worth noting that AV mobility is a pivotal concern with LAVP, involving dynamic patterns related to spatial-temporal features, such as varied parking and drop-off (or pick-up) demands with diverse customer journey planning. We herein target such critical decision-makings on where to park and where to drop/pick-up upon customer requirements during their journeys. Concerning in practice that car parks are equipped with limited parking space, we thus introduce parking reservations and enable accurate estimations on future parking states. An efficient LAVP service framework enhanced with parking reservations is then proposed. Benefited from the intelligent predictions, parking load can be accurately predicted and greatly alleviated at individual car parks, thereby avoiding overcrowding effectively. Results show that significant performance gains can be achieved under the proposed scheme by comparing to other benchmarks, with respect to greatly reduced waiting duration for available parking space, as well as enhanced customer experiences in terms of reduced travelling period, etc. In particular, the number of parked vehicles across the network can be effectively balanced.

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Section: Cp-selection Logicmentioning

confidence: 99%

Reservation Enhanced Autonomous Valet Parking Concerning Practicality Issues

Zhang¹,

Yuan

Cao

et al. 2022

IEEE Systems Journal

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“…• Quality of Experience: The LAVP has the potential to provide users with the best parking experience, as it can drop off the user at their required place and then moves towards the car park in full autonomous mode. This can make the users get rid of some hurdles, e.g., searching for car parks, parking vehicles in narrow slots, and working from car parks to their desired place [17].…”

Section: B Long-range Autonomous Valet Parking (Lavp)mentioning

confidence: 99%

“…Additionally, the vehicle guidance system can avoid the unnecessary roaming of vehicles in search of car parks. These solutions help to alleviate environmental pollution and traffic congestion [15]- [17].…”

Section: Introductionmentioning

confidence: 99%

From smart parking towards autonomous valet parking: A survey, challenges and future Works

Khalid

Wang

Aslam

et al. 2021

Journal of Network and Computer Applications

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“…Tran and Pompili [33] studied an optimization problem that is a joint task offloading and resource allocation in a multi-cell MEC network that assists mobile users in executing computation intensive tasks via task offloading. The underlying optimization problem was formulated as a Mixed-Integer Non-linear Program (MINLP), instead of getting the optimal solution, and reduced to suboptimal solution [34], [35]. Hou and Gupta [36] studied the problem of achieving weighted proportional fairness for resource allocation in selforganized wireless systems.…”

Section: Related Workmentioning

confidence: 99%

A New Resource Allocation Mechanism for Security of Mobile Edge Computing System

Hui

Zhou

et al. 2019

IEEE Access

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Mobile-Edge Computing (MEC) is a new computing paradigm that provides a capillary distribution of cloud computing capabilities to the network edge. In this paper, we studied the security defense problem in MEC network environment. One big challenge is how to efficiently allocate resources to deploy Mobile-Edge Computing-Intrusion Detection Systems (MEC-IDS) in this system, since all the MEC hosts are composed of resource-constrained network devices. To tackle this challenge, a new resource allocation mechanism based on deterministic differential equation model is proposed and investigated. Existence, uniqueness and stability of the positive solution of this model are obtained by using Lyapuonv stability theory. Furthermore, we extended our study to MEC network environment with stochastic perturbation and established a new stochastic differential equation model. We proved the existence, uniqueness, persistence and oscillatory of the positive solution of this model and quantitatively analyzed the relationship between oscillation and intensity of stochastic perturbation. Numerical simulations are carried out to illustrate the effectiveness of the main results.

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AVPark: Reservation and Cost Optimization-Based Cyber-Physical System for Long-Range Autonomous Valet Parking (L-AVP)

Cited by 16 publications

References 26 publications

Reservation Enhanced Autonomous Valet Parking Concerning Practicality Issues

Reservation Enhanced Autonomous Valet Parking Concerning Practicality Issues

From smart parking towards autonomous valet parking: A survey, challenges and future Works

A New Resource Allocation Mechanism for Security of Mobile Edge Computing System

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