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Due to the deficiency of logistics distribution, this paper presents a new approach to deal with VRP problems and utilizes network analysis function of GIS. Firstly, this paper specifies how to establish road network based on GIS. Secondly, this paper focuses on Vehicle Routing Problems with Time Window constraints. Finally, article based on the network analysis function of GIS, routing results on...
The use of truck-and-trailer systems is an attractive solution to boost the load carrying capacity of land transportation vehicles. However, the steering of such system is problematic due to the lack of sufficient degree-of-freedoms in the available control. The difficulty further increases when obstacles are encountered in the working space. Here, the virtual-robot tracking strategy and force field...
In urban traffic network, there is turning delays and turning prohibition etc. So it is more practical to use the algorithm considering delays at intersections than general algorithm to search optimal route. In order to save space, this paper proposes a new modified forward star storage structure, which can store road network with node turning delays. And we improve A* algorithm scientifically, road...
Autonomous steering control is the principal task in the development of an intelligent transportation system. This research paper proposes a novel approach for vision based intelligent control of unmanned vehicles. The paper addresses the problems of accurate and efficient intelligent vehicle control by incorporating a well known evolutionary algorithm cAnt-Miner. The uniqueness of the proposed algorithm...
Under the emergency accidents, implementation of the rescue measures is directly related to the traffic state identification. However, lacking of information collecting caused by road damage would lead to the results of identification by conventional fixed detector had a larger deviation. Although the existing way of probe vehicle with a large coverage area but also from an environmental impact, the...
An autonomous robotic vehicle can drive through and park in a lot more reliably if it is guided by a parking lot map. This specialized map creates structure, including the centerlines of drivable regions and intersection locations in an often unstructured and unmarked environment and enables the vehicle to focus its attention on regions that require detailed analysis. Existing methods of building...
In a vehicle license plate identification system, locating the license plate in the image or video of a vehicle is an important step before final recognition. In the proposed method care has been taken up to extract license plate of motorcycle (size of plate is small and double row plate), car (single as well as double row type), transport vehicle such as bus, truck, dirty plates as well as multiple...
With the announcement of the “Stadtpilot”- Project the Technische Universität Braunschweig has accepted the challenge of guiding a vehicle fully autonomously in the complex environment of Braunschweig's entire ring road. Autonomous driving on this two-lane urban road includes interaction with traffic, behavior at intersections, lane change maneuvers at speeds up to 60 km/h as well as merging into...
In the open vehicle routing problem (OVRP), a vehicle does not return to the depot after servicing the last customer on a route. Today, the OVRP is encountered in practice in the home delivery of packages and newspapers. Contractors who are not employees of the delivery company use their own vehicles and do not return to the depot. An improved tabu search for the open vehicle routing problem is considered...
Map-Matching, integrates the vehicle positioning data with digital road network, is an important positioning technique in the vehicle navigation system. An adaptive-fuzzy-network based on C-measure map-matching algorithm and its advantages were briefly summarized firstly, in which the C-measure was defined to represent the certainty of the car's existence on the corresponding road. But, as this algorithm...
To eliminate inertial navigation systems (INS) error accumulating with time, it is presented that a map-matching algorithm based on curvature analysis, which can provide INS with highly reliable and accurate navigation information. And this information can be used to eliminate accumulative error. This algorithm matches a vehicle trace that changes significantly in curvature to the corresponding section...
It proposes a SIFT-RANSAC algorithm for the object recognition of moving vehicles combining the SIFT image matching theory and RANSAC algorithm. The paper designs a detection system, the Intelligent Traffic Management, which is used to solve the difficulties, such as traffic lanes changes, large body sizes and mutual interference between vehicles and so on, in the previous frame and the update frame...
This paper proposes a monocular vision solution to simultaneous detection of multiple lanes in navigable regions/urban roads using accumulator voting. Unlike other approaches in literature, this paper first examines the extent of lane parameters required for continuous control of any vehicle manually or autonomously. The accumulator-based algorithm is designed using this fundamental control knowledge...
In this paper we describe a novel and simple to implement yet effective lattice design algorithm, which simultaneously produces input and state-space sampled lattice graphs. The presented method is an extension to the ideas suggested by Bicchi et al. on input lattices and is applicable to systems which can be brought into (2,n) chained form, such as kinematic models of unicycles, bicycles, differential-drive...
Map matching arithmetic is the key factor in the Vehicle Location and Navigation System. The paper gives an improved and adaptive algorithm based on C-measure. It uses the current and history information of the positioning points and the topology of the road efficiently. Three rules for distance, angle and connectivity are proposed to calculate match reliability. The real road experiments demonstrate...
Vehicle detection and classification of vehicles play an important role in decision making for the purpose of traffic control and management. In this paper we propose a novel and efficient algorithm based on image processing using aerial cameras for vehicle detection and classification especially in highways. The algorithm is mainly based on a sequence of morphological methods being applied on an...
For the application of ALV (automatic land vehicle) running in a dynamic environment, an improved dynamic RRT (rapidly exploring random trees) path planning algorithm is proposed. The algorithm combines the noholonomic constraints of the vehicle with double extend RRTs, and the three order B-spline basic functions are used to approach and create a new smooth route which suits for the vehicle to follow...
A new and rapid scheme for detecting vehicles based on video by single camera at urban intersection is proposed. Firstly a rapid judgment algorithm of vehicle direction is introduced, with motion object segmentation by means of frame-difference method and morphology. It extracts the unique interested region from multiple objective through the modified region-growth algorithm, gets motion direction...
Improving the efficiency of dynamic vehicle routing problem on large scale road network is a difficult problem. There are numerous works proposed on this problem, they try to solve the problem from different aspects. In this paper, we propose a novel method-ellipse bounding method (EBM) based dynamic vehicle routing algorithm, which maintains dynamic ellipses to prune its searching branches while...
The Vehicle Routing Problem has been a popular research topic in logistics (Physical distribution) which is of much practical value. This thesis puts forward the method of solving vehicle routing problem by the immune algorithm. In the solution procedure, this thesis creates a new encoded model which can increase the operational efficiency of the algorithm presented by decreasing the encoding length...
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