The Experts below are selected from a list of 654 Experts worldwide ranked by ideXlab platform

Bart De Schutter - One of the best experts on this subject based on the ideXlab platform.

  • Intermodal Freight Transport planning a receding horizon control approach
    Transportation Research Part C-emerging Technologies, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Intermodal Freight Transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated Intermodal Freight Transport operator at the tactical container flow level. An Intermodal Freight Transport network (IFTN) model is first developed to capture the key characteristics of Intermodal Freight Transport such as the modality change phenomena at Intermodal terminals, physical capacity constraints of the network, time-dependent Transport times on freeways, and time schedules for trains and barges. After that, the Intermodal Freight Transport planning problem is formulated as an optimal Intermodal container flow control problem from a system and control perspective with the use of the proposed IFTN model. To deal with the dynamic Transport demands and dynamic traffic conditions in the IFTN, a receding horizon Intermodal container flow control (RIFC) approach is proposed to control and to reassign Intermodal container flows in a receding horizon way. This container flow control approach involves solving linear programming problems and is suited for Transport planning on large-sized networks. Both an all-or-nothing approach and the proposed RIFC approach are evaluated through simulation studies. Simulation results show the potential of the proposed RIFC approach.

  • Intermodal Freight Transport planning – A receding horizon control approach
    Transportation Research Part C-emerging Technologies, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Intermodal Freight Transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated Intermodal Freight Transport operator at the tactical container flow level. An Intermodal Freight Transport network (IFTN) model is first developed to capture the key characteristics of Intermodal Freight Transport such as the modality change phenomena at Intermodal terminals, physical capacity constraints of the network, time-dependent Transport times on freeways, and time schedules for trains and barges. After that, the Intermodal Freight Transport planning problem is formulated as an optimal Intermodal container flow control problem from a system and control perspective with the use of the proposed IFTN model. To deal with the dynamic Transport demands and dynamic traffic conditions in the IFTN, a receding horizon Intermodal container flow control (RIFC) approach is proposed to control and to reassign Intermodal container flows in a receding horizon way. This container flow control approach involves solving linear programming problems and is suited for Transport planning on large-sized networks. Both an all-or-nothing approach and the proposed RIFC approach are evaluated through simulation studies. Simulation results show the potential of the proposed RIFC approach.

  • ICCL - Pricing Intermodal Freight Transport Services: A Cost-Plus-Pricing Strategy
    Lecture Notes in Computer Science, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Transport services pricing problems faced by Intermodal Freight Transport operators with fixed Transport capacities in an Intermodal Freight Transport network. We first present an optimal Intermodal Freight Transport planning model to minimize the total Transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract Transport demands. A cost-plus-pricing strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of Transport operators under different Transport scenarios, i.e., self-Transporting, subcontracting, and a combination of them. For the reference Transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed pricing strategy.

  • pricing Intermodal Freight Transport services a cost plus pricing strategy
    International Conference on Computational Logistics, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Transport services pricing problems faced by Intermodal Freight Transport operators with fixed Transport capacities in an Intermodal Freight Transport network. We first present an optimal Intermodal Freight Transport planning model to minimize the total Transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract Transport demands. A cost-plus-pricing strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of Transport operators under different Transport scenarios, i.e., self-Transporting, subcontracting, and a combination of them. For the reference Transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed pricing strategy.

  • multi agent cooperative Transport planning of Intermodal Freight Transport
    International Conference on Intelligent Transportation Systems, 2014
    Co-Authors: Li Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper proposes a multi-agent cooperative Intermodal Freight Transport planning approach for multiple Intermodal Freight Transport operators (IFTOs) in the control of container flows. The cooperation goal is to minimize the overall Freight delivery cost for serving certain Transport demands. Based on a distributed model predictive control methodology, a cooperative planning approach is proposed by decomposing the augmented Lagrangian formulation of the joint Intermodal Freight Transport planning problem into subproblems that are then cooperatively solved by the IFTOs through iterative exchange of planning information. A simulation study on cooperative Intermodal Freight Transport planning illustrates the potential of the proposed cooperative planning approach.

Rudy R. Negenborn - One of the best experts on this subject based on the ideXlab platform.

  • Intermodal Freight Transport planning a receding horizon control approach
    Transportation Research Part C-emerging Technologies, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Intermodal Freight Transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated Intermodal Freight Transport operator at the tactical container flow level. An Intermodal Freight Transport network (IFTN) model is first developed to capture the key characteristics of Intermodal Freight Transport such as the modality change phenomena at Intermodal terminals, physical capacity constraints of the network, time-dependent Transport times on freeways, and time schedules for trains and barges. After that, the Intermodal Freight Transport planning problem is formulated as an optimal Intermodal container flow control problem from a system and control perspective with the use of the proposed IFTN model. To deal with the dynamic Transport demands and dynamic traffic conditions in the IFTN, a receding horizon Intermodal container flow control (RIFC) approach is proposed to control and to reassign Intermodal container flows in a receding horizon way. This container flow control approach involves solving linear programming problems and is suited for Transport planning on large-sized networks. Both an all-or-nothing approach and the proposed RIFC approach are evaluated through simulation studies. Simulation results show the potential of the proposed RIFC approach.

  • Intermodal Freight Transport planning – A receding horizon control approach
    Transportation Research Part C-emerging Technologies, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Intermodal Freight Transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated Intermodal Freight Transport operator at the tactical container flow level. An Intermodal Freight Transport network (IFTN) model is first developed to capture the key characteristics of Intermodal Freight Transport such as the modality change phenomena at Intermodal terminals, physical capacity constraints of the network, time-dependent Transport times on freeways, and time schedules for trains and barges. After that, the Intermodal Freight Transport planning problem is formulated as an optimal Intermodal container flow control problem from a system and control perspective with the use of the proposed IFTN model. To deal with the dynamic Transport demands and dynamic traffic conditions in the IFTN, a receding horizon Intermodal container flow control (RIFC) approach is proposed to control and to reassign Intermodal container flows in a receding horizon way. This container flow control approach involves solving linear programming problems and is suited for Transport planning on large-sized networks. Both an all-or-nothing approach and the proposed RIFC approach are evaluated through simulation studies. Simulation results show the potential of the proposed RIFC approach.

  • ICCL - Pricing Intermodal Freight Transport Services: A Cost-Plus-Pricing Strategy
    Lecture Notes in Computer Science, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Transport services pricing problems faced by Intermodal Freight Transport operators with fixed Transport capacities in an Intermodal Freight Transport network. We first present an optimal Intermodal Freight Transport planning model to minimize the total Transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract Transport demands. A cost-plus-pricing strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of Transport operators under different Transport scenarios, i.e., self-Transporting, subcontracting, and a combination of them. For the reference Transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed pricing strategy.

  • pricing Intermodal Freight Transport services a cost plus pricing strategy
    International Conference on Computational Logistics, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Transport services pricing problems faced by Intermodal Freight Transport operators with fixed Transport capacities in an Intermodal Freight Transport network. We first present an optimal Intermodal Freight Transport planning model to minimize the total Transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract Transport demands. A cost-plus-pricing strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of Transport operators under different Transport scenarios, i.e., self-Transporting, subcontracting, and a combination of them. For the reference Transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed pricing strategy.

  • multi agent cooperative Transport planning of Intermodal Freight Transport
    International Conference on Intelligent Transportation Systems, 2014
    Co-Authors: Li Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper proposes a multi-agent cooperative Intermodal Freight Transport planning approach for multiple Intermodal Freight Transport operators (IFTOs) in the control of container flows. The cooperation goal is to minimize the overall Freight delivery cost for serving certain Transport demands. Based on a distributed model predictive control methodology, a cooperative planning approach is proposed by decomposing the augmented Lagrangian formulation of the joint Intermodal Freight Transport planning problem into subproblems that are then cooperatively solved by the IFTOs through iterative exchange of planning information. A simulation study on cooperative Intermodal Freight Transport planning illustrates the potential of the proposed cooperative planning approach.

Jarosław Pempera - One of the best experts on this subject based on the ideXlab platform.

  • CISIM - Robust Tabu Search Algorithm for Planning Rail-Truck Intermodal Freight Transport
    Computer Information Systems and Industrial Management, 2016
    Co-Authors: Wojciech Bożejko, Radoslaw Grymin, Szymon Jagiełło, Jarosław Pempera
    Abstract:

    In this paper a new efficient tabu search algorithm for assigning Freight to the Intermodal Transport connections was developed. There were also formulated properties of the problem that can be used to design robust heuristic algorithms based on the local search methods. The quality of solutions produced by the tabu search algorithm and by often recommended greedy approach were also compared.

  • Robust Tabu Search Algorithm for Planning Rail-Truck Intermodal Freight Transport
    Computer Information Systems and Industrial Management, 2016
    Co-Authors: Wojciech Bożejko, Radoslaw Grymin, Szymon Jagiełło, Jarosław Pempera
    Abstract:

    In this paper a new efficient tabu search algorithm for assigning Freight to the Intermodal Transport connections was developed. There were also formulated properties of the problem that can be used to design robust heuristic algorithms based on the local search methods. The quality of solutions produced by the tabu search algorithm and by often recommended greedy approach were also compared.

Le Li - One of the best experts on this subject based on the ideXlab platform.

  • Intermodal Freight Transport planning a receding horizon control approach
    Transportation Research Part C-emerging Technologies, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Intermodal Freight Transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated Intermodal Freight Transport operator at the tactical container flow level. An Intermodal Freight Transport network (IFTN) model is first developed to capture the key characteristics of Intermodal Freight Transport such as the modality change phenomena at Intermodal terminals, physical capacity constraints of the network, time-dependent Transport times on freeways, and time schedules for trains and barges. After that, the Intermodal Freight Transport planning problem is formulated as an optimal Intermodal container flow control problem from a system and control perspective with the use of the proposed IFTN model. To deal with the dynamic Transport demands and dynamic traffic conditions in the IFTN, a receding horizon Intermodal container flow control (RIFC) approach is proposed to control and to reassign Intermodal container flows in a receding horizon way. This container flow control approach involves solving linear programming problems and is suited for Transport planning on large-sized networks. Both an all-or-nothing approach and the proposed RIFC approach are evaluated through simulation studies. Simulation results show the potential of the proposed RIFC approach.

  • Intermodal Freight Transport planning – A receding horizon control approach
    Transportation Research Part C-emerging Technologies, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Intermodal Freight Transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated Intermodal Freight Transport operator at the tactical container flow level. An Intermodal Freight Transport network (IFTN) model is first developed to capture the key characteristics of Intermodal Freight Transport such as the modality change phenomena at Intermodal terminals, physical capacity constraints of the network, time-dependent Transport times on freeways, and time schedules for trains and barges. After that, the Intermodal Freight Transport planning problem is formulated as an optimal Intermodal container flow control problem from a system and control perspective with the use of the proposed IFTN model. To deal with the dynamic Transport demands and dynamic traffic conditions in the IFTN, a receding horizon Intermodal container flow control (RIFC) approach is proposed to control and to reassign Intermodal container flows in a receding horizon way. This container flow control approach involves solving linear programming problems and is suited for Transport planning on large-sized networks. Both an all-or-nothing approach and the proposed RIFC approach are evaluated through simulation studies. Simulation results show the potential of the proposed RIFC approach.

  • ICCL - Pricing Intermodal Freight Transport Services: A Cost-Plus-Pricing Strategy
    Lecture Notes in Computer Science, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Transport services pricing problems faced by Intermodal Freight Transport operators with fixed Transport capacities in an Intermodal Freight Transport network. We first present an optimal Intermodal Freight Transport planning model to minimize the total Transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract Transport demands. A cost-plus-pricing strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of Transport operators under different Transport scenarios, i.e., self-Transporting, subcontracting, and a combination of them. For the reference Transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed pricing strategy.

  • pricing Intermodal Freight Transport services a cost plus pricing strategy
    International Conference on Computational Logistics, 2015
    Co-Authors: Le Li, Rudy R. Negenborn, Bart De Schutter
    Abstract:

    This paper investigates Transport services pricing problems faced by Intermodal Freight Transport operators with fixed Transport capacities in an Intermodal Freight Transport network. We first present an optimal Intermodal Freight Transport planning model to minimize the total Transport cost. This model captures modality change phenomena, due time requirements, and the possibility to subcontract Transport demands. A cost-plus-pricing strategy is proposed to determine the service price as the sum of the operational cost and the targeted profit margins of Transport operators under different Transport scenarios, i.e., self-Transporting, subcontracting, and a combination of them. For the reference Transport demand specified by a customer, a list of service packages with different due times, demand sizes, and the determined service prices will be offered to the customer. Based on the urgency of delivering containers and the prices of different service packages, the customer will make the final selection decisions. A case study is given to illustrate the planning model and our proposed pricing strategy.

Eckard Helmers - One of the best experts on this subject based on the ideXlab platform.

  • road rail Intermodal Freight Transport as a strategy for climate change mitigation
    Environmental development, 2017
    Co-Authors: Julian Torres De Miranda Pinto, Oscar Mistage, Patricia Bilotta, Eckard Helmers
    Abstract:

    Abstract When attempting to reduce atmospheric emissions, a strategy commonly suggested by experts is the replacement of road Transport with rail Transport. However, in many countries and for many companies worldwide a complete transition to rail Transport of Freight is not feasible due to either a lack of available railway infrastructure or high investment costs. With that in mind, this paper aims to assess the potential of road-rail Intermodal operations as a strategy to reduce atmospheric emissions, and thereby help mitigate climate change worldwide. This was achieved by quantifying and comparing emissions of CO 2 , CO, CH 4 , NO x , hydrocarbons and particulate matter in a case-study that considered road-only and Intermodal road-rail routes from 17 production facilities to their nearest port, according to International Panel on Climate Change (IPCC) and the United Nations Framework Convention on Climate Change (UNFCCC) policies, as well as Euro V and EPA (United State Environmental Protection Agency) emission standards. The results showed that an Intermodal road-rail operations would reduce emissions by up to 77.4%, be up to 43.48% more fuel-efficient and up to 80% cheaper than operating solely with road Transport, posing as a viable strategy to enable more companies and countries to mitigate climate change.