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Conflict-free Cooperation Method for Connected and Automated Vehicles at Unsignalized Intersections: Graph-based Modeling and Optimality Analysis [article]

Chaoyi Chen, Qing Xu, Mengchi Cai, Jiawei Wang, Jianqiang Wang, Biao Xu, Keqiang Li
2022 arXiv   pre-print
Extensive numerical simulations are conducted for various numbers of vehicles and traffic volumes, and the simulation results prove the effectiveness of the proposed algorithms.  ...  In this paper, we propose a graph-based cooperation method to formalize the conflict-free scheduling problem at an unsignalized intersection.  ...  Note that since we focus on multi-vehicle scheduling problem rather than vehicle control problem, second-order vehicle model as defined in ( 1 ) is used instead of more complex vehicle dynamic model.  ... 
arXiv:2107.07179v3 fatcat:ulaghowjdfhfffy7e3fg77zhx4

Logistics Distribution Path Optimization Using Support Vector Machine Algorithm under Different Constraints

Li Chen, Xin Ning
2022 Wireless Communications and Mobile Computing  
The optimization problem of logistics vehicle scheduling path with different constraints is studied in this paper using the SVM algorithm, and the improved algorithm is simulated to verify its effectiveness  ...  Traditional algorithms can only solve simple problems, while intelligent algorithms can solve the most complex combinatorial optimization problems.  ...  the model. rough the study of the previous vehicle scheduling problems, it is found that basically the number of cargo delivery points is fixed, and a vehicle only passes through one cargo transportation  ... 
doi:10.1155/2022/7260995 fatcat:2xw3sd4z5fh5doexxzvyaf6dnq

Online Offloading Scheduling and Resource Allocation Algorithms for Vehicular Edge Computing System

Zhen Wang, Sifa Zheng, Qiang Ge, Keqiang Li
2020 IEEE Access  
To accommodate the exponentially increasing computation demands of vehicle-based applications, vehicular edge computing (VEC) system was introduced.  ...  Specifically, this study designs a game-theoretic online algorithm to solve the problem of computation task offloading scheduling, and employs an online bin-packing algorithm to compute the resource allocation  ...  Cao and Chen [14] modeled the computation offloading scheduling as a mixed-integer linear programming problem, and designed a quality of experience (QoE)-based node selection strategy that is based on  ... 
doi:10.1109/access.2020.2981045 fatcat:nip5qfgqlndthmhy5km6u6xt5y

Multimedia Urban Road Path Optimization Based on Genetic Algorithm

Fangfang Ma, Qiangyi Li
2022 Computational Intelligence and Neuroscience  
Firstly, for the current situation of traffic congestion, time constraints are strictly considered based on the traditional hard time window logistics distribution vehicle scheduling problem model.  ...  Using the genetic algorithm based on sequence coding, a hybrid genetic algorithm is constructed to solve the model problem.  ...  of Shandong University of Science and Technology (no.  ... 
doi:10.1155/2022/7898871 pmid:35535187 pmcid:PMC9078773 fatcat:bqtgbks5undp7gkwlbapkj44fm

Downlink Traffic Scheduling in Green Vehicular Roadside Infrastructure

Abdulla A. Hammad, Terence D. Todd, George Karakostas, Dongmei Zhao
2013 IEEE Transactions on Vehicular Technology  
Offline scheduling formulations are derived that provide lower bounds on the energy required to fulfill vehicle requests.  ...  The first uses Generalized Flow (GF) graphs and the second uses time expanded graphs (TEGs) to model the scheduling problem.  ...  The scheduling complexity for both packet and slot based models is investigated.  ... 
doi:10.1109/tvt.2012.2227071 fatcat:p7lfjkow6vhmbnuue2psm6yjou

Trust Factor Based Secure Congestion Control For Vanet

Shanty Bala
2016 International Journal Of Engineering And Computer Science  
The cluster head is elected based on weight factor, so it is called weighted clustering algorithm.  ...  The WCA select the cluster head which has lowest weight among the nodes and some other factor also consider the election for cluster head.  ...  The node degree of a node v i is deduced as the cardinality of the set N(v i ): (4.1) Based on the previous equations, we set our stability factor for each node v i as: (4.2) We propose to calculate the  ... 
doi:10.18535/ijecs/v5i11.16 fatcat:isjgyf2vcnenxdicangtesyvu4

Open-Source Public Transportation Mobility Simulation Engine DTALite-S: A Discretized Space–Time Network-Based Modeling Framework for Bridging Multi-agent Simulation and Optimization

Lu Tong, Yuyan Pan, Pan Shang, Jifu Guo, Kai Xian, Xuesong Zhou
2019 Urban Rail Transit  
Recently, an open-source light-weight dynamic traffic assignment (DTA) package, namely DTALite, has been developed to allow a rapid utilization of advanced dynamic traffic analysis capabilities.  ...  Aiming to bridge the modeling gaps between multi-agent simulation and optimization in a multimodal environment, we further design and develop DTALite-S to simplify the traffic flow & Yuyan Pan  ...  Agent-based dynamic traffic assignment and traffic simulation are integrated and extended to tackle practical applications of vehicle routing problem (VRP), or its variants, e.g., vehicle routing problem  ... 
doi:10.1007/s40864-018-0100-x fatcat:2ox47fqnt5e37nw6iiryrr7dsi

Anticipatory Vehicle Routing using Delegate Multi-Agent Systems

Danny Weyns, Tom Holvoet, Alexander Helleboogh
2007 2007 IEEE Intelligent Transportation Systems Conference  
Based on the evaluation of the alternatives, the vehicles then issue light-weight agents for allocating road segments, spreading the vehicles' intentions and coordinating their behavior.  ...  In this approach, individual vehicles are represented by agents, which themselves issue lightweight agents that explore alternative routes in the environment on behalf of the vehicles.  ...  The research described in this paper is funded by the Foundation for Scientific Research in Flanders (FWO) and the IWT Strategic Basic Research Project SBO-60823.  ... 
doi:10.1109/itsc.2007.4357809 dblp:conf/itsc/WeynsHH07 fatcat:etunnrff3fcrpmlvpknf4taysy

The Optimization of Emergency Evacuation from Nuclear Accidents in China

Yang Zou, Shuliang Zou, Changming Niu
2018 Sustainability  
Road traffic capacity and other external factors that may affect emergency evacuation are considered in the time weight factor for each road.  ...  The evacuation route of the nuclear power plant is abstracted into a network diagram and a mathematical model of evacuation optimization route based on the graph theory and the parity of spot diagram method  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/su10082737 fatcat:65qkxqdn2rdv3eikbitalejgwq

A Survey on MAC Protocols for Vehicular Ad-Hoc Networks

B. Cynthia Sherin, E. A. Mary Anita
2018 Zenodo  
Each vehicle can exchange their information to inform the other vehicles about the current status of the traffic flow or a dangerous situation such as an accident.  ...  This paper gives an overview of the several proposed MAC protocols for VANETs along with their benefits and limitations and presents an overall classification based on their characteristics.  ...  The scheduling mechanism is based on the VeMAC protocol which considers the traffic flow and the relative speeds of each vehicle.  ... 
doi:10.5281/zenodo.2021764 fatcat:e6sg6heatbbxfovunvtiklz44e

A Context-aware Task Offloading Scheme in Collaborative Vehicular Edge Computing Systems

2021 KSII Transactions on Internet and Information Systems  
To solve this problem with effect, we propose a context-aware offloading strategy based on differential evolution algorithm (DE) by considering vehicle mobility, roadside units (RSUs) coverage, vehicle  ...  On this basis, an autoregressive integrated moving average (ARIMA) model is employed to predict idle computing resources according to the base station traffic in different periods.  ...  [23] creatively proposed a PVEC algorithm that utilized parked vehicles as idle edge computing nodes and formulated a resource scheduling optimization problem.  ... 
doi:10.3837/tiis.2021.02.001 fatcat:qw4y3a2t5ndwnmrfxs36dmwzjy

Machine Learning-Based Offloading Strategy for Lightweight User Mobile Edge Computing Tasks

Shuchen Zhou, Waqas Jadoon, Junaid Shuja, Zhihan Lv
2021 Complexity  
Then, based on the analysis of the concave-convex properties of this optimization model, this paper uses variable relaxation and nonconvex optimization theory to transform the problem into a convex optimization  ...  Subsequently, two optimization algorithms are designed: for the relaxation optimization problem, an iterative optimization algorithm based on the Lagrange dual method is designed; based on the branch-and-bound  ...  Combining the characteristics of IoT dark network traffic with the advantages of machine learning and IoT dark network attack node classification model based on dark network traffic and machine learning  ... 
doi:10.1155/2021/6455617 fatcat:gs3fdutosjfrvj63k7hlpkajzm

Intelligent Vehicle Scheduling and Routing for a Chain of Retail Stores: A Case Study of Dhaka, Bangladesh

M. Azizur Rahman, Al-Amin Hossain, Binoy Debnath, Zinnat Mahmud Zefat, Mohammad Sarwar Morshed, Ziaul Haq Adnan
2021 Logistics  
Orders from various stores are combined, grouped, and scheduled for Region-1 and Region-2 of Dhaka City. The 'vehicle routing add-on' feature of Google Sheets is used for scheduling and navigation.  ...  However, inefficient scheduling and vehicle routing from the distribution center may cause delivery delays and, thus, stock-outs on the store shelves.  ...  Authors are delightedly thankful to Elias Parvez, head of operations, for providing the delivery data and Sumon Islam for assisting the programming during the application development.  ... 
doi:10.3390/logistics5030063 fatcat:34h4v6bi3vhmhdk7d2wmnu7xa4

Scanning the Issue

Azim Eskandarian
2020 IEEE transactions on intelligent transportation systems (Print)  
Choi and J.-H. Kim A GPS is usually installed at the center of a vehicle, because with this configuration its data become the position of the vehicle without complex calibration and transformation.  ...  Jenelius The article formulates the car-specific metro train crowding prediction problem based on real-time load data and evaluates the performance of several data-driven prediction methods.  ...  We formulate the routing and scheduling problem on DLR as an integer linear program.  ... 
doi:10.1109/tits.2020.2994973 fatcat:t2vtrc5gmnba3eo3ohpdmqqjyq

An Energy-efficient Dynamic Route Optimization Algorithm for Connected and Automated Vehicles Using Velocity-Space-Time Networks

Chenglin Liu, Jianqiang Wang, Wenjuan Cai, Yuzhao Zhang
2019 IEEE Access  
This paper introduces three types of status information based on the current environmental perception and the information computing power of connected and automated vehicles (CAVs) and proposes an energy-efficient  ...  The information types include real-time road traffic flow, traffic light and vehicle driving status (driving velocity and direction).  ...  [5] , [6] proposed a dynamic route guidance strategy based on traffic conditions rather than traditional real-time travel time and further proposed a route guidance strategy based on traffic conditions  ... 
doi:10.1109/access.2019.2933531 fatcat:3cjgoienkvdihdnirgkwrl2bhq
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