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There is no absolute shortest path by using a bi-objective model to solve the optimal path problem. Based on the flight and train schedules, we establish the transfer time reliability model in the transfer station according to the reliability theory, as well as combine this model with the bi-objective optimal path optimization model. The improved PRDFS D algorithm is used to calculate the path set...
Starting from influential factors of fixed traffic bottleneck and choosing appropriate identifying indices for fixed transportation bottleneck, we get MapReduce parallelized processing method of K-means clustering algorithm after full investigations on parallel programming pattern and clustering algorithm; Finally, the recognition approach for fixed traffic bottleneck is proposed based on K-clustering...
MELISSA is a new Ground Based (GB) MIMO SAR system developed by JRC. Despite the successes of MELISSA, GB MIMO SAR sensors could be particularly suitable for many other applications such as MIMO MTI, 3-D ISAR systems and Automatic Target Recognition (ATR) which are still under investigation. This document is addressed for investigating the ability of MELISSA as ATR sensor. The results have proved...
This paper proposes a new approach for the analysis of physical processes. Based on several assumptions regarding the information available regarding the physical processes, we constrain the generation of the transition system. The method is based on the theory of regions that allows for the building compact representations as Petri Nets of transition systems and a set of explicit descriptions for...
Roads in the affected areas are usually damaged during big natural disasters, and it results in blocked road, reduced road capacity, lower vehicle speed and severe restrictions for travelling. Besides, vehicles are donated temporarily by numerous groups and various in their performance. This paper takes the above problems caused by road damage into consideration, and the vehicle route decision are...
Solid waste management is a prime concern in any country. Among all the steps of its management, collecting it efficiently is the biggest challenge. Waste collection can be treated as a Vehicle routing problem (VRP) as it involves waste collection vehicles to collect waste from different waste bins. This paper deals with the solid waste collection efficiency improvement by solving optimized route...
Various methods have been utilized for the cooperative tasking of unmanned aerial vehicles (UAVs), with the genetic algorithm (GA) being a technique that has proven to be versatile and effective for this use. The design and implementation of a GA is both an art and a science that brings together creativity, theoretical foundations and engineering. The focus of this paper is to show how the fitness...
The ability to perform vehicle tracking is very useful in daily life — today, such as security on personal vehicles, public transportation systems, fleet management and other mass transit. In this study, we designed an application of Geographic Information Systems (GIS) that will be applied to public transport services. This system provides real-time position tracking of each vehicle (taxi) and capable...
Coverage path planning determines a path that guides an autonomous vehicle to pass every part of a workspace completely and efficiently. Since turns are often costly for autonomous vehicles, minimizing the number of turns usually produces more working efficiency. This paper presents an optimization approach to minimize the number of turns of autonomous vehicles in coverage path planning. For complex...
This paper presents an approach of DC level 1 charging of an electric vehicle (EV) or plug-in hybrid electric vehicle (PHEV) making use of standalone solar photovoltaic (PV) system. In this approach it is proposed to use the DC power generated by solar panels to directly charge EV traction battery pack using solar MPPT controller algorithm and CHAdeMO DC fast charging protocol. A supervisory control...
In this paper we present a template matching based vehicle tracking algorithm designed for traffic analysis purposes. The proposed approach could be integrated in a system able to understand lane changes, gate passages and other behaviours useful for traffic analysis. After reviewing some state-of-the-art object tracking techniques, the proposed approach is presented as a customization of the template...
The aim of this paper is to present a practical method to land a Quadrotor MAV (Micro Arial Vehicle) on a landing pad or charger dock station. Nowadays Quadrotor MAVs are very popular but due to nonlinear dynamics and ground effects problems landing of a Quadrotor MAV is a control challenge specially in outdoor environments. For this purpose a high level fuzzy controler and a low level PID stablizer...
In this paper an optimal operation mode control for a tramway with a hybrid energy storage system (battery+supercapacitor) is presented. The optimization process to obtain the setpoints for the control strategy is done by mean of multi-objective genetic algorithm (GA). The objective fitness functions are based on a cost model considering: the energy absorbed from the catenary, the battery+supercapacitor...
Aiming at the problem that the consistency between load capacity and the actual traffic volume, the road grade analysis in urban traffic network. Propose the improved GROCC algorithm based on the traditional Dijkstra algorithm. It is a global path planning method based on real-time traffic information. In this algorithm, the parameter, the number of recommended times are used as an important factor...
Over the past several years, Micro Aerial Vehicles (MAVs) have received considerable attentions due to many useful applications in military and civil missions. Applications such as search and rescue, mapping, and surveillance require the MAVs to autonomously follow a predefined three dimensional path. Because of unavailability of the pilot during a mission, it is necessary to use autopilot systems...
The capacitated vehicle routing problem (CVRP) is one of the combinatorial optimization problems with the most widespread applications in practice. Because of the intrinsic computational complexity, the approximate algorithms are commonly employed to solve the CVRP rather than the exact algorithms. In this research, the artificial bee colony algorithm (ABC), derived from the swarm intelligence, is...
Vehicular Ad-hoc Networks (VANETs) which nowadays showed distinct researches around the globe. Advancements in wireless networks globally, which gave a new dimension to researchers. This paper reviewed the basic concepts of VANET and clustering. It presented various types of clustering which could be implemented for the efficient running of VANET. Using static clustering dividing geographical city...
This paper reports an ongoing development of an algorithm for severity assessment of road anomalies using only driving behaviour signals. This algorithm is to be used in an active safety system where severity assessment operates in a distributed manner, i.e. at the leading vehicle that encounters an anomaly. Based on real-world 1,300 braking signals collected from 52,000 participants, it is shown...
In a vehicle routing problem (VRP), there are one or more vehicles that travel around a network, which depart from and return to a start node. However, in an ad-hoc VRP, new nodes can be included at runtime, and their routes can be changed or defined online. This study aims to minimize the total route length by considering the dynamic addition and deletion of nodes. In addition, ant colony optimization...
This paper presents an approach method to detect vehicle color and to classify multi vehicle from video data. The multi vehicle is classified by blob analysis and feature-based. The proposed method uses a video file recorded by traffic surveillance camera as input. This technique applied RGB (Red, Green and Blue) to detect color of vehicle image. The vehicle is separated from background by using optical...
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