Swarm-Based Multi-agent Simulation: A Case Study of Urban Traffic Flow in the City of Wroclaw

The Internet of Vehicles (IoV) connects vehicles, roadside units (RSUs) and other intelligent objects, enabling data sharing among them, thereby improving the efficiency of urban traffic and safety. Currently, collections of multimedia content, generated by multimedia surveillance equipment, vehicles, and so on, are transmitted to edge servers for implementation, because edge computing is a formidable paradigm for accommodating multimedia services with low-latency resource provisioning. However, the uneven or discrete distribution of the traffic flow covered by edge servers negatively affects the service performance (e.g., overload and underload) of edge servers in multimedia IoV systems. Therefore, how to accurately schedule and dynamically reserve proper numbers of resources for multimedia services in edge servers is still challenging. To address this challenge, a traffic flow prediction driven resource reservation method, called TripRes, is developed in this article. Specifically, the city map is divided into different regions, and the edge servers in a region are treated as a “big edge server” to simplify the complex distribution of edge servers. Then, future traffic flows are predicted using the deep spatiotemporal residual network (ST-ResNet), and future traffic flows are used to estimate the amount of multimedia services each region needs to offload to the edge servers. With the number of services to be offloaded in each region, their offloading destinations are determined through latency-sensitive transmission path selection. Finally, the performance of TripRes is evaluated using real-world big data with over 100M multimedia surveillance records from RSUs in Nanjing China.

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Multi-agent simulation of the time-of-use pricing policy in an urban natural gas pipeline network: A case study of Zhengzhou

Energy ◽

10.1016/j.energy.2013.02.002 ◽

2013 ◽

Vol 52 ◽

pp. 37-43 ◽

Cited By ~ 10

Author(s):

Lanlan Li ◽

Chengzhu Gong ◽

Deyun Wang ◽

Kejun Zhu

Keyword(s):

Natural Gas ◽

Gas Pipeline ◽

Pricing Policy ◽

Pipeline Network ◽

Natural Gas Pipeline ◽

Agent Simulation ◽

Multi Agent ◽

Time Of Use Pricing

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Spectral Analysis of Traffic Functions in Urban Areas

PROMET - Traffic&Transportation ◽

10.7307/ptt.v27i6.1686 ◽

2015 ◽

Vol 27 (6) ◽

pp. 477-484 ◽

Cited By ~ 3

Author(s):

Florin Nemtanu ◽

Ilona Madalina Costea ◽

Catalin Dumitrescu

Keyword(s):

Spectral Analysis ◽

Fourier Transform ◽

Fourier Analysis ◽

Traffic Flow ◽

Traffic Control ◽

Urban Areas ◽

Urban Traffic ◽

The Fourier Transform ◽

The City ◽

Different Time Scales

The paper is focused on the Fourier transform application in urban traffic analysis and the use of said transform in traffic decomposition. The traffic function is defined as traffic flow generated by different categories of traffic participants. A Fourier analysis was elaborated in terms of identifying the main traffic function components, called traffic sub-functions. This paper presents the results of the method being applied in a real case situation, that is, an intersection in the city of Bucharest where the effect of a bus line was analysed. The analysis was done using different time scales, while three different traffic functions were defined to demonstrate the theoretical effect of the proposed method of analysis. An extension of the method is proposed to be applied in urban areas, especially in the areas covered by predictive traffic control.

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Multi-agent Simulation with Mathematical Optimization of Urban Traffic Using Open Geographic Data

2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI) ◽

10.1109/iiai-aai.2016.201 ◽

2016 ◽

Cited By ~ 2

Author(s):

Takuya Matsumoto ◽

Kazutoshi Sakakibara ◽

Makoto Ohara ◽

Hisashi Tamaki

Keyword(s):

Mathematical Optimization ◽

Urban Traffic ◽

Geographic Data ◽

Agent Simulation ◽

Multi Agent

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Potential of Private Autonomous Vehicles for Parcel Delivery

Transportation Research Record Journal of the Transportation Research Board ◽

10.1177/0361198120949878 ◽

2020 ◽

Vol 2674 (11) ◽

pp. 520-531

Author(s):

Tilmann Schlenther ◽

Kai Martins-Turner ◽

Joschka Felix Bischoff ◽

Kai Nagel

Keyword(s):

Service Provider ◽

Autonomous Vehicles ◽

Urban Traffic ◽

Vehicle Miles Traveled ◽

Traffic System ◽

Autonomous Cars ◽

Multi Agent ◽

Wide Scale ◽

Operator Behavior

Using the same vehicles for both passenger and freight transport, to increase vehicle occupancy and decrease their number, is an idea that drives transport planners and is also being addressed by manufacturers. This paper proposes a methodology to simulate the behavior of such vehicles within an urban traffic system and evaluate their performance. The aim is to investigate the impacts of resignation from fleet ownership by a transport service company (TSC) operating on a city-wide scale. In the simulation, the service provider hires private autonomous cars for tour performance. Based on assumptions concerning the operation of such vehicles and TSCs, the software Multi-Agent Transport Simulation (MATSim) is extended to model vehicle and operator behavior. The proposed framework is applied to a case study of a parcel delivery service in Berlin serving a synthetic parcel demand. Results suggest that the vehicle miles traveled for freight purposes increase because of additional access and egress trips. Moreover, the number of vehicles en route is higher throughout the day. The lowering of driver costs can reduce the costs of the operator by approximately 74.5%. If the service provider additionally considers the resignation from fleet ownership, it might lower the operation cost by another 10%, not taking into account the costs of system transfer or risks like vehicle non-availability. From an economic perspective, the reduction of the overall number of vehicles in the system seems to be beneficial.

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Modeling and Simulation of Rainfall Impacts on Urban Traffic Flow: A Case Study in Beijing

Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems - Communications in Computer and Information Science ◽

10.1007/978-981-10-2663-8_49 ◽

2016 ◽

pp. 475-484

Author(s):

Yuhan Jia ◽

Jianping Wu ◽

Yiman Du

Keyword(s):

Modeling And Simulation ◽

Traffic Flow ◽

Urban Traffic

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Multi-Agent Simulation of Emergency Evacuation on the Sidewalk

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.253-255.2005 ◽

2012 ◽

Vol 253-255 ◽

pp. 2005-2008

Author(s):

Peng Chen ◽

Shun Ying Zhu ◽

Liang Jie Xu ◽

Xiao Feng Ma ◽

Zhi Gang Du

Keyword(s):

Emergency Evacuation ◽

Agent Based ◽

Proposed Model ◽

Agent Simulation ◽

Multi Agent ◽

Bus Station ◽

Evacuee Behavior ◽

Walking Time ◽

Statistical Area

Transportation evacuation study has become a research focus in recent years. This paper deals with emergency evacuation on the sidewalk using agent-based simulation. The current study develops a traffic simulator within NetLogo, an agent-based environment. Two sub-models are proposed including facility sub-model to describe global path planning of evacuee and evacuee sub-model to describe the evacuee behavior. We conducted simulations to investigate the effect of generation position of evacuees and the proportion of choosing bus on evacuation through a case study. Simulation results indicate that the proposed model can well address the interaction among evacuees with different evacuation modes, and if evacuees choosing bus evacuate near bus station and evacuees choosing walk evacuate away from bus station, then average walking time of evacuees and maximum density in statistical area are relatively small.

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