scholarly journals Dynamic Fuzzy Logic-Ant Colony System-Based Route Selection System

2010 ◽  
Vol 2010 ◽  
pp. 1-13 ◽  
Author(s):  
Hojjat Salehinejad ◽  
Siamak Talebi
Keyword(s):  
Fuzzy Logic ◽  
Traffic Control ◽  
Ant Colony ◽  
Ant Colony System ◽  
Route Selection ◽  
Navigation Systems ◽  
Traffic Data ◽  
Selection System ◽  
Control Center ◽  
Online Traffic

Route selection in metropolises based on specific desires is a major problem for city travelers as well as a challenging demand of car navigation systems. This paper introduces a multiparameter route selection system which employs fuzzy logic (FL) for local pheromone updating of an ant colony system (ACS) in detection of optimum multiparameter direction between two desired points, origin and destination (O/D). The importance rates of parameters such as path length and traffic are adjustable by the user. In this system, online traffic data are supplied directly by a traffic control center (TCC) and further minutes traffic data are predicted by employing artificial neural networks (ANNs). The proposed system is simulated on a region of London, United Kingdom, and the results are evaluated.

Vehicle Detection and Classification Using Model-Based and Fuzzy Logic Approaches

2005 ◽  
Vol 1935 (1) ◽  
pp. 154-162
Author(s):  
Heng-Da Cheng ◽  
Haining Du ◽  
Liming Hu ◽  
Chris Glazier
Keyword(s):  
Fuzzy Logic ◽  
Traffic Control ◽  
Vehicle Detection ◽  
Classification Systems ◽  
Vehicle Classification ◽  
Highway Traffic ◽  
Control Center ◽  
Model Based ◽  
Fixed Orientation ◽  
Classification Information

Vehicle detection and classification information is invaluable in many transportation issues. Vehicle feature extraction and detection are the preprocesses required for vehicle classification. Current automatic vehicle classification systems have deficiencies: low accuracy, special requirements, fixed orientation of the camera, or additional hardware and devices. This paper discusses a vehicle detection and classification system using model-based and fuzzy logic approaches. The system was tested with the use of a variety of images captured by the highway traffic control center of the Utah Department of Transportation. In comparison with existing systems, major advantages of the proposed system are ( a) no special orientation of the camera is required, ( b) no additional devices are needed, and ( c) high classification accuracy is provided. Experimental results show that the performance of the proposed system exceeds that of the existing video-based vehicle classification systems.

Research of In-Car Navigation Based on Improved Ant Colony Algorithm

2014 ◽  
Vol 536-537 ◽  
pp. 461-465
Author(s):  
Fang Ding ◽  
Su Zhuo Wu
Keyword(s):  
Ant Colony Algorithm ◽  
Optimal Path ◽  
Optimal Solution ◽  
Convergence Speed ◽  
Ant Colony ◽  
Ant Colony System ◽  
Navigation Systems ◽  
Local Optimal Solution ◽  
Improved Ant Colony Algorithm ◽  
Car Navigation

Determining how to select path efficiently in complex transportation networks was one of the main problems in-car navigation systems. For the drawbacks of slow convergence and easy to fall into local optimal solution of basic ant colony algorithm in solving the optimal path problem, a method of improving the expect-heuristic function is proposed in this paper, which enhances search direction and improves the convergence rate. Meanwhile, with the introduction of a new strategy to update the pheromone on ant colony system, the contradiction that convergence speed brings stagnation is balanced. The results show that the improved ant colony algorithm is easier to get the optimal solution compared with basic ant colony algorithm, and the convergence speed is faster, having a good navigation effect.

scholarly journals The behaviour of ACS-TSP algorithm when adapting both pheromone parameters using fuzzy logic controller

2020 ◽  
Vol 10 (5) ◽  
pp. 5436
Author(s):  
Safae Bouzbita ◽  
Abdellatif El Afia ◽  
Rdouan Faizi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Ant Colony ◽  
Dynamic Adaptation ◽  
Ant Colony System ◽  
Computational Results ◽  
Travelling Salesman ◽  
Solution Quality ◽  
Pheromone Trails ◽  
Acs Algorithm

In this paper, an evolved ant colony system (ACS) is proposed by dynamically adapting the responsible parameters for the decay of the pheromone trails 𝜉 and 𝜌 using fuzzy logic controller (FLC) applied in the travelling salesman problems (TSP). The purpose of the proposed method is to understand the effect of both parameters 𝜉 and 𝜌 on the performance of the ACS at the level of solution quality and convergence speed towards the best solutions through studying the behavior of the ACS algorithm during this adaptation. The adaptive ACS is compared with the standard one. Computational results show that the adaptive ACS with dynamic adaptation of local pheromone parameter 𝜉 is more effective compared to the standard ACS.

scholarly journals Privacy-Preserving Smart Road-Pricing System with Trustworthiness Evaluation in VANETs

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3658
Author(s):  
Qingfeng Zhu ◽  
Sai Ji ◽  
Jian Shen ◽  
Yongjun Ren
Keyword(s):  
Traffic Control ◽  
Traffic Management ◽  
Location Privacy ◽  
Vehicular Ad Hoc Networks ◽  
Intelligent Transportation System ◽  
Smart Cities ◽  
Security Analysis ◽  
Geographical Location ◽  
Experimental Simulation ◽  
Control Center

With the advanced development of the intelligent transportation system, vehicular ad hoc networks have been observed as an excellent technology for the development of intelligent traffic management in smart cities. Recently, researchers and industries have paid great attention to the smart road-tolling system. However, it is still a challenging task to ensure geographical location privacy of vehicles and prevent improper behavior of drivers at the same time. In this paper, a reliable road-tolling system with trustworthiness evaluation is proposed, which guarantees that vehicle location privacy is secure and prevents malicious vehicles from tolling violations at the same time. Vehicle route privacy information is encrypted and uploaded to nearby roadside units, which then forward it to the traffic control center for tolling. The traffic control center can compare data collected by roadside units and video surveillance cameras to analyze whether malicious vehicles have behaved incorrectly. Moreover, a trustworthiness evaluation is applied to comprehensively evaluate the multiple attributes of the vehicle to prevent improper behavior. Finally, security analysis and experimental simulation results show that the proposed scheme has better robustness compared with existing approaches.

Sign in / Sign up

Export Citation Format

Share Document