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In this paper we address the problem of decision making for transporters in an online freight exchange platform. Two properties of online freight exchange makes the decision making challenging for a transporter — highly competitive nature of the market and, uncertainty in availability of consignments. Additionally the driver's return to the home location within a predefined duration is yet another...
In this study, optimal parking lots (PLs) for plug-in electric vehicles (PEVs) fleet are allocated on a feeder of a given electrical distribution network to minimize the total cost of the local distribution company (DISCO) considering driving patterns of the PEVs' drivers and their behavioral model in respect to the value of incentive (discount on charging fee) and the distance from the PL. The cost...
In the recreational vehicle rental business, the problem of preparing a schedule for each vehicle in the fleet (by assigning accepted bookings to available vehicles over the planning horizon) is known as the recreational vehicle scheduling problem (RVSP). The problem belongs to the class of minimum cost multicommodity network flow problems which is known to be NP-hard. A formulation of the RVSP from...
Multiple objective navigation is commonly found in practice, where a path for an autonomous vehicle needs to be generated to simultaneously optimize a number of different objectives such as distance, safety, and visibility. Objectives can be weighted to solve a single objective optimization problem but appropriate weights may not be known a priori. In this paper, we formulate a series of missions...
In many routing planning problems of the real world the available information about the problem is imprecise, vague or uncertain. In addition, decision makers work with decisions with some subjectivity. This work formulates the Team Orienteering Problem (TOP) where the scores and travel time constraints are fuzzy. The soft computing methodology proposed to solve the problem integrates fuzzy optimization...
This article develops an intelligent decision support tool for a complex supply chain management problem. In order to solve the bi-objective Location-Arc Routing Problem (LARP) facilities have to be located and routes must be determined simultaneously. The first objective is the minimization of the total costs which are the fixed cost of opening the facility, the fixed cost for the vehicles as well...
A transportation network describes a network structure to allow flow of some commodity. Flow maximization is a classical problem in this domain. In this paper, we address the problem of flow maximization in a transportation network with fix sources and a fixed sink. For simplicity to find an analytical solution, we start with a grid structured road network. The goal is to find a traffic distribution...
This paper proposes a stock pre-positioning model that integrates the decisions of the maximum proportion of relief demand covered in distribution centers and the maximum amount of relief supplies delivered to a single disaster area within a certain period of time. This model considers multi-items, multi-vehicles and multi-periods. First, the service area for each distribution center is assigned....
In cross-docking operations, planners need to coordinate the inbound, docking and outbound logistics operations to ensure a smooth flow of goods across the supply chain. The operation management of cross docking is a crucial task with high complexity for the logistics systems. This paper attempts to address the Vehicle Routing Problems (VRPs) of distribution centers with multiple cross-docks for processing...
The Cumulative Capacitated Vehicle Routing Problem with Time-Dependent Demand(CCVRP-TDD) is a novel problem in humanitarian logistics where the demand is dynamic and the objective is to minimize the sum of arrival times at critical nodes due to the emergency of the situation. Critical nodes are the nodes closest to the source, from which people try to flee to seek first aid, food, etc. This mobilization...
Intermodal transportation has known a great development during last decades as consequence to the development of container transportation services and supply chain stakes. This development had required efforts and researches to optimize the design and the configuration of transportation network infrastructure and their service. The design, configuration and the service network design of a system performing...
This paper proposes a two-stage integer programming model including depots to distribution centers and distribution centers to demand points. Hundreds of thousands of people lost their lives in disaster recently. Since to predict the timing and magnitude of a disaster is difficult, the resource requirement is with randomness. Besides, information asymmetry exists in the two stages, so the demand may...
This paper considers optimal trajectory planning for autonomous nonholonomic vehicles used in investigating environmental phenomena. In particular, we present an algorithm that generates locally optimal trajectories to find the global maximum of the underlying environmental field. Our algorithm uses Gaussian process priors to estimate the unknown field and the notion of expected improvement to develop...
Due to the network load growth and the entrance of distributed energy resources (DERs) and plug-in hybrid electrical vehicles (PHEVs) to the distribution networks, development of enhanced distribution network expansion planning considering these new types of resources is necessitated. Specially, integration of the intelligent PHEV parking in the distribution networks can effectively influence the...
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 reports on an algorithm for planning a practical trajectory for a surface vehicle that provides range measurements to an autonomous underwater vehicle (AUV). We consider server-client cooperative localization in which a server vehicle provides relative range constraints to minimize the uncertainty of a client vehicle. Our approach assumes the nominal client mission plan is available and...
Dependence on personal automobiles is becoming increasingly costly due to accelerating climate change and rising gasoline prices. It is particularly wasteful when one realizes that most car seats are typically empty. With the advancement of mobile social networking technologies, it is necessary to reconsider the principles and desired characteristics of ride-sharing systems. Ride-sharing systems can...
How to allocate the container storage space efficiently has become a key factor of revenue and competitiveness for express industry in recent years. In this work, a time-space network for allocating the container storage space in express depot is developed, which considers the continuity of container storage space allocation, the vehicle capacity and the uncertain demand for containers. The optimization...
In this paper, we present the strategy for trajectory planning that was used on-board the vehicle that completed the 103 km of the Bertha-Benz-Memorial-Route fully autonomously. We suggest a local, continuous method that is derived from a variational formulation. The solution trajectory is the constrained extremum of an objective function that is designed to express dynamic feasibility and comfort...
Recently, Honda Eco Mileage Challenge, which is one of the most important contests in the world to encourage high-efficient car and environmental protection, mainly has been attracted by the communities of mechanism engineering, control system, vehicle engineering and computer science, etc. Generally speaking, the final score of HEMC contest is mainly related to the number of the firing in the whole...
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