An Efficient Bio-inspired Algorithms for Selection of Dynamic Route to Avoid Traffic Flow in VANET

2021 ◽  
Author(s):  
Monika M Patil ◽  
Ranjit Sadakale ◽  
NVK Ramesh ◽  
R A Patil
Keyword(s):  
Traffic Flow ◽  
Dynamic Route ◽  
Selection Of

A Congestion Controlled and Load Balanced Selection Strategy for Networks on Chip

2020 ◽  
Vol 11 (1) ◽  
pp. 1-14
Author(s):  
Ashima Arora ◽  
Neeraj Kumar Shukla
Keyword(s):  
Traffic Flow ◽  
Free Path ◽  
Routing Algorithm ◽  
Experimental Results ◽  
Selection Strategy ◽  
Selection Function ◽  
Networks On Chip ◽  
Traffic Conditions ◽  
On Chip ◽  
Selection Of

For an on-chip router, the suitability of a particular routing algorithm relies on its selection of the best possible output paths. For representing congestion, the selection function of a routing algorithm uses an appropriate metric. The preferred selection metric will thus help in deciding the congested free path for any incoming flit. In this article, the fuzzy-based selection function is designed by using a cumulative flit count as a global metric of traffic estimation. The strategy provides an added advantage of effectively utilizing the links and thus regulates the traffic flow by keeping track of buffer usage and flits flow history simultaneously. The experimental results obtained under different traffic conditions, shows the proposed scheme outperforms other traditional, fuzzy based schemes in terms of both performance and power requirements.

scholarly journals Selection of Significant On-Road Sensor Data for Short-Term Traffic Flow Forecasting Using the Taguchi Method

2012 ◽  
Vol 8 (2) ◽  
pp. 255-266 ◽  
Author(s):  
Kit Yan Chan ◽  
Saghar Khadem ◽  
Tharam S. Dillon ◽  
Vasile Palade ◽  
Jaipal Singh ◽  
...  
Keyword(s):  
Taguchi Method ◽  
Traffic Flow ◽  
Sensor Data ◽  
Short Term ◽  
Traffic Flow Forecasting ◽  
Selection Of

Development of Guidelines Based on Life-Cycle Cost To Replace Level-of-Service Concept in Capacity Analysis

1997 ◽  
Vol 1572 (1) ◽  
pp. 10-17
Author(s):  
Karl-L. Bang ◽  
Gunnar Lindberg ◽  
Gandhi Harahap
Keyword(s):  
Life Cycle ◽  
Traffic Flow ◽  
Traffic Engineering ◽  
Life Cycle Cost ◽  
Developed Countries ◽  
Urban Traffic ◽  
Level Of Service ◽  
Service Concept ◽  
The Impact ◽  
Selection Of

Highway capacity manuals (HCMs) from developed countries cannot be successfully applied in Indonesia because of significant differences in driver behavior, traffic composition, and level of roadside activities. The Indonesian HCM project (IHCM) was therefore started in 1991 and has resulted in a manual and software for urban traffic facilities, inter-urban roads, and motorways. The IHCM also includes traffic engineering guidelines for selection of appropriate road and intersection type and design for new construction or improvements based on life-cycle cost (LCC) analysis. The LCC model includes all relevant road-user costs (those for vehicle operations, time, accidents, and emissions) and road-producer costs (those for land acquisition, road construction, and road maintenance and operation). The LCC results identify the design alternative that has the lowest total cost and thus is the most economical for any given traffic flow. The IHCM guidelines also include traffic-performance graphs for standard road types and intersections as a function of traffic flow as well as information about accident rates and the impact of geometric design changes on safety. The guidelines assist the user with preliminary selection of the design before starting the detailed analysis. They can also be used on their own as a shortcut for planning purposes and therefore serve as a replacement for the level-of-service concept applied in the U.S. HCM.

Short-Term Traffic Flow Forecasting Based on SVR with Improved Artificial Fish Swarm Algorithm

2015 ◽  
Vol 734 ◽  
pp. 508-514
Author(s):  
Ren Xiao Fang ◽  
Wei Hong Yao ◽  
Xu Dong Zhang
Keyword(s):  
Traffic Flow ◽  
Intelligent Transportation System ◽  
Intelligent Transportation ◽  
Support Vector ◽  
Short Term ◽  
Artificial Fish Swarm Algorithm ◽  
Traffic Flow Forecasting ◽  
Search Mechanism ◽  
Artificial Fish Swarm ◽  
Selection Of

Real-time and accurate traffic flow forecasting is one of the key contents of Intelligent Transportation System. For the disadvantage of parameter selection of Support Vector Regression (SVR), an improved artificial fish swarm (IAFS) algorithm using the adaptive search mechanism was applied to optimize SVR. This method aimed at improving the prediction accuracy and extensibility of short-term traffic flow forecasting. Then a short-term traffic flow forecasting model based on IAFS-SVR was proposed. The results show that the proposed method has better prediction performance, and is suitable for short-term traffic flow forecasting.

scholarly journals Discovering the Graph-Based Flow Patterns of Car Tourists Using License Plate Data: A Case Study in Shenzhen, China

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
He Bing ◽  
Kong Bo ◽  
Yin Ling ◽  
Wu Qin ◽  
Hu Jinxing ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Flow Patterns ◽  
License Plate ◽  
Frequent Subgraph Mining ◽  
Tourist Attractions ◽  
Flow Maps ◽  
Scale Modeling ◽  
Macro Scale ◽  
Selection Of

Identifying flow patterns from massive trajectories of car tourists is considered a promising way to improve the management of tourism traffic. Previous researches have mainly focused on tourist movements at the macro-scale, such as inbound, domestic, and urban tourism using flow maps. Compared with modeling the flow patterns of tourists at the macro-scale, modeling tourist flow at the microscale is more complicated. This paper takes Dapeng Island located in Shenzhen as the study area and uses the car recognition devices to collect traffic flow. Firstly, car tourists are separated from the mixed traffic flow after analyzing the spatial-temporal characteristics of tourists and residents. Next, daily graphs of tourist movements between road segments and tourist attractions are constructed. Finally, a frequent subgraph mining algorithm is used to extract the flow patterns of car tourists. The experimental results show that (1) car tourists have obvious preferences in the selection of trip time and tourist attractions; (2) the intercity tourists tend to take multidestination trips rather than a single destination trip in the same type of attractions; (3) car tourists are inclined to park their cars in an easy-to-access place, even if the attractions visited are changed. The main contribution of this paper is to present a new method for discovering the flow patterns of car tourists hidden in massive amounts of license plate data.

Research on Traffic Flow Redistribution Algorithm under the Traffic Accident

2012 ◽  
Vol 253-255 ◽  
pp. 1747-1750
Author(s):  
Yong Cun Zhu ◽  
Wen Yong Li ◽  
Yang Zhang ◽  
Tao Wang
Keyword(s):  
Traffic Flow ◽  
Road Traffic ◽  
Traffic Load ◽  
Route Guidance ◽  
The Road ◽  
Allocation Method ◽  
The Right ◽  
Capacity Constrained ◽  
Dynamic Route ◽  
The Impact

To reduce traffic incident, it is imperative to take effective measures. This paper presents a dynamic route guidance method based on capacity constrained allocation method. Firstly, it analyzes the character of capacity constrained allocation method which takes into account the right of way and traffic load characteristics and used ant algorithms to optimize algorithm. Secondly, it integrates with multi-period continuous dynamic route guidance to realize the redistribution of road traffic flow . Finally, an example is took to prove that this manner can be a perfect solution to the road traffic evens on the impact of the road traffic flow.

Origin-Destination Matrix as a Way to Create a Basic Algorithm for Simulation a Load of Transport Network

2015 ◽  
Vol 725-726 ◽  
pp. 1218-1223
Author(s):  
Anastasiya Shevtsova ◽  
Marina Yablonovskaya ◽  
Alexey Borovskoy
Keyword(s):  
Mathematical Model ◽  
Mathematical Models ◽  
Traffic Flow ◽  
Transport Network ◽  
Traffic Flows ◽  
Basic Algorithm ◽  
Path Cost ◽  
Selection Of

Article is devoted to studying of traffic flows using the origin-destination matrix. The first paragraph of this article deals with the possibility of applying the origin-destination matrix when modeling load of transport network. The types of transportations, the factors that affect the loading of the transport network are described. The concept of a generalized path cost, interdistrict transportations and some others are considered. There are proposed several steps to create a origin-destination matrix. In the second paragraph of the paper is proposed the classification of mathematical models that can be applied in the simulation of traffic flow, as well as their features are marked. This will help in the processing of data for selection of a mathematical model that satisfies the requirements and objectives that have set themselves researchers. The conclusions on the application of mathematical models in the study of traffic flow are made.

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