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Estimating Origin-Destination matrix, named O-D matrix or ODM, is an important issue in transportation planning. Due to need to survey movements on the network, estimating ODM is usually considered as a high-cost measure in transportation planning. In this research work, a two-stage procedure, including solving routing problem and minimizing the difference between observed and estimated traffic volumes...
This paper presents the first phase of a methodology for making transportation decisions in the Supply Chain (SC), in the first part of this article are the importance of transactional costs in transportation and their decision levels. Then interrelationships and dependencies of the criteria in Transportation Logistics Function (TLF). Finally presents design of the Multicriteria Decision Network (MCDN),...
Location and route planning are implemented independently in most distribution networks. In the majority of cases, low-quality solutions are obtained if sequential methods, e.g. Locate depots first and plan routes second, are used. In location-routing problems (LRPs), location and routing are solved simultaneously. The underlying basic problems are the well known facility location problem and the...
This article presents a planning problem in a distribution network incorporating two levels of inventory management. Perishable products are routed with lot-sizing, multi-sourcing and limited transport capacity using a homogeneous fleet of vehicles. A mixed integer linear programming (MILP) and a greedy heuristic have been developed to solve this real planning problem. There are some instances for...
Conventional agricultural fields are sprayed uniformly to control weeds, insects, and diseases. To reduce cultivation expenses, to produce healthier food and to create more environmentally friendly farms, chemicals should only be applied to the right place at the right time and exactly with the right amount. In this article, a task and motion planning for a team of autonomous vehicles to reduce chemicals...
We present a real-time optimization method for autonomous vehicle motion planning. Trajectory optimization is essential for autonomous vehicle motion planning, due to its non-holonomic motion. Conventional way of optimization is by trajectory smoothing. In this paper, we use differential dynamic programming (DDP) to optimize the trajectory. The key advantage of DDP is that it not only smoothes the...
A motion planning method for intelligent cars following roads based on feasible neighborhood is presented, with which we can break down a dynamic and complex control process into a series of static and simple ones. The method can imitate the eyeshot of a skilled driver driving a car on road, and may be an available approach for the control of automatic driving. According to a car's orientation relative...
This paper presents a new approach for kinodynamic online motion planning for Automated Guided Vehicles (AGVs) in industrial environments. AGVs normally transport large and heavy transport units such as Euro-pallets or mesh pallets. Nowadays just-in-time inventory management and lean production requires the transport of small transportation units. Thus a flexible material flow is needed that can not...
This paper presents a smooth path planning algorithm for a home service robot in presence of a known map and static obstacles. The algorithm proceeds in two steps. Firstly, the MAKLINK Graph based global path planner generates the shortest linear path which consists of several line segments. By introducing the 2D code landmarks into the global path planner, the path passes the landmarks as many as...
Navigation through an intersection is a fundamental task that will enable an autonomous car to operate in a real traffic environment. Previous studies about intersection navigation generally assume vehicle to vehicle communication ability for all of the vehicles. Since this is unattainable in the near future, we focus on the scenario that vehicles on the road cannot communicate with each other. A...
Path planning for autonomous parking control is difficult and complicated because of its non-holonomic constraints. We proposed the parking path planner KPP (Korea University Path Planner) in our prior work. The purpose of this paper is to prove the advantages of KPP through quantitative and qualitative analyses. Numerical simulations have been carried out for comparison. This paper shows that KPP...
In the context of the EC-funded project Instant Mobility, we have defined a comprehensive architecture for transport and mobility applications that aim to innovate by introducing future Internet technologies to this domain. We have defined an Internet-based “multimodal travel platform” that provides information and services able to support new types of connected transport applications. The considered...
In this paper, we present the concept of cooperative autonomous driving using cooperative perception. The cooperative perception can provide upcoming traffic situations ahead, even beyond line-of-sight and field-of-view. From a control perspective, a spatial map for navigation planning is extended up to the boundary of connected vehicles in a see-through manner. By leveraging this augmented perception...
Growing interest in Cooperative Driving within the field of Intelligent Transport Systems (ITS) put forth novel concepts for both enhanced sensing and advanced solution making. Although various approaches deal with advanced solution making, none of the concepts consider the conflict situation as a holistic situation comprising defined end states and trajectories towards them. We propose a novel algorithm...
The V2V communication is a promising technology aiming at the growing demands on safety, comfort and efficiency. A variety of research projects demonstrate the expandability of the V2V communication across the boundaries of current industry standards. The authors divide the expandability into two key aspects: collective scene description and cooperative maneuvers. This article combines the expandability...
This paper is research about unmanned ground vehicle for path planning. based on global path to optimal path generating. The proposed algorithm was used to D* Lite and lateral avoidance algorithm. This algorithm used to global map and search obstacle. Presented safety avoidance path planning thought Velocity of autonomous vehicle. safety obstacle avoidance according to velocity. Current Autonomous...
This paper proposes a novel method on dynamic trajectory planning for intelligent vehicle driving under traffic environment with uncertainties. The statistical characteristics of traffic vehicle motion are first analyzed with a traffic vehicle model, in which the inputs are considered to be random variables with certain probability distribution. Therefore the output of the model can be calculated...
This article addresses a new routing problem encountered in the field of Home Health Care. Researches in this emerging area share the goal of establishing fine coordination to optimize the planning of human and material resources to provide support and quality monitoring while controlling costs. Home Health Care services allow keeping patients who are not entirely dependent at home, or to facilitate...
People are constantly inventing new ways of reducing traffic in big cities and encouraging the use of public transport. The idea of park-and-ride facilities is to increase the usage of public transport. However, it imposes additional problems for a driver to plan her trip and does not state clear benefits of using the approach. We developed a seamless solution to guide a user to public transport transfer...
The deployment of efficient roadside networks is a necessity for ITS deployment. The main challenge for the roadside deployment is to find a satisfying or best distribution of RSUs on the roads network according to the given conditions in order to meet the requested requirements of the roads operator. Additionally, various factors affect this process such as traffic, infrastructure and topological...
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