Traffic operational fluidity Evaluation of Freight Intermodal Connectors
Deo Chimba, Tennessee State UniversityShow Abstract
Suleman Swai, Tennessee State University
Efficiency in freight transportation is pivotal; it is defined as a measure of serviceability and predictability which are key qualities sought for in supply chains. This study integrates intersection performance measures that include level of service (LOS), delay and queue length with segment measures of effectiveness including reliability index, travel time and cost per mile in determining the overall operational performance of the freight intermodal connectors (FICs). FICs located in Knox and Shelby counties in Tennessee were used as testbeds. Data collected from these FICs through different methodologies including GPS were used to model segments and thirteen intersections along the FICs with the objective of estimating the aforementioned performance measures. Using regression analysis, the performance measures, geometric and traffic parameters were then used to determine the influence of various parameters on the trucking costs for each of the analyzed FICs. A scoring model was developed which was further used to weigh the investigated parameters and provided an overall relative operational performance for each of the connectors. The results showed that the rail connectors have the highest operational performance followed by intercity bus terminals and airport terminal connectors. The pipeline connectors showed the lowest operational performance. The methodology and findings can be used by state DOTs and MPOs for evaluating the overall performance of freight intermodal connectors and strategically prioritize connectors that need operational mitigations.
A COORDINATED SHIPMENT MATCHING PROBLEM IN GLOBAL INTERMODAL TRANSPORTATION
Wenjing Guo, Technische Universiteit DelftShow Abstract
Bilge Atasoy, Technische Universiteit Delft
Wouter Beelaerts van Blokland, Technische Universiteit Delft
Rudy Negenborn, Technische Universiteit Delft
This paper introduces a coordinated shipment matching problem in global intermodal transportation. We consider a global operator that receives shipment requests from shippers and three local operators that provide local transport services in different geographical areas. Due to the distributed nature of global transport systems, these local operators are not willing to give authority to the global operator. While local operators make local matching decisions, the global operator combines the matched local services into itineraries to provide integrated global transport for shipments. To handle interconnecting constraints between the global operator and local operators, a Lagrangian relaxation approach is developed. Under the proposed approach, the global transport problem is decomposed into four operator-related subproblems. These subproblems are optimized iteratively under local constraints as well as under the incentives imposed to meet interconnecting constraints. Due to the computation complexity of the optimization models, a heuristic algorithm is designed to generate timely solutions at each iteration. The experiment results show that with the proposed Lagrangian relaxation approach, global transport planning that requires coordination among different operators to achieve a common goal can be realized; with the designed heuristic, decision makers can decide on the trade-off between solution quality and computational efficiency.
An Adaptive Polyploid Memetic Algorithm for Effective Scheduling of Trucks at a Cross-Docking Facility
Maxim Dulebenets (email@example.com), Florida A&M University-Florida State University College of EngineeringShow Abstract
Oluwatosin Theophilus, Florida A&M University-Florida State University College of Engineering
Junayed Pasha, Florida A&M University-Florida State University College of Engineering
Many supply chain stakeholders have been using the cross-docking concept, according to which the products, delivered in specific transportation management units to the cross-docking facility (CDF), undergo decomposition, sorting based on the end customer preferences, consolidation, and then are transported to the final destinations. Scheduling of the inbound trucks and outbound trucks for service is considered as one of the convoluted decision problems. This study proposes a new Adaptive Polyploid Memetic Algorithm (APMA) for the CDF truck scheduling problem that can assist with proper CDF operations planning from the truck scheduling perspective. APMA directly relies on the polyploidy concept, where copies of the parent chromosomes (i.e., solutions) are being stored before performing the crossover operations and producing the offspring chromosomes. The number of chromosome copies is controlled through the adaptive polyploid mechanism based on the objective function improvements achieved and the computational time changes. Moreover, a number of problem-specific hybridization techniques are used within the developed algorithm to facilitate the search process. The computational experiments show that the developed APMA algorithm substantially outperforms some of the well-known state-of-the-art metaheuristics in terms of the solution quality and returns the truck schedules that have lower total truck service cost.
The Investigation Of Coastal Port's Collecting And Dispatching System Under The COVID-19 And Research On New "Port Space Hub System"
Haiyuan Yao (firstname.lastname@example.org), Ministry of Transport of the People’s Republic of ChinaShow Abstract
Dachuan Wang, Ministry of Transport of the People’s Republic of China
Lianjie Jin, State Government of Victoria
Yun Feng, Transport Research Foundation
Wentao Ding, Ministry of Transport of the People’s Republic of China
Chen Shen, Ministry of Transport of the People’s Republic of China
During the outbreak of the COVID-19, the phenomenon of hindering the return journey of truck drivers during the Spring Festival transportation was highlighted, and the problem of short boarding of the port's gathering and transportation was again manifested. This paper discussed the basic connotation, scope of application, and important significance of the "port collection and dispatching system", combined with the country's macro-requirements on the adjustment of the transportation structure such as the "transit rail", analyzes the current status of land-based cargo transportation in China's coastal ports and the problems of urban traffic congestion, frequent traffic accidents, serious vehicle exhaust and noise pollution are caused by traditional collecting and dispatching transportation methods, thus analyzing the future development priorities of coastal port collection and dispatching systems, including the continuous promotion of construction of key port collection and dispatching projects, exploring the application of BIM, big data, 5G, cloud computing and other new technologies in port construction and operation. In addition, this paper proposed to establish a new "port space hub system" to realize the special and integrated operation of the collecting and dispatching railway, the pendulum and bus operations, and form the "dumbbell" transportation structure of Port—Collecting and dispatching railway—Inland port at close range Form, building a comprehensive, multi-node, networked and integrated operation of a new type of transportation system, and promote the integration of port collection and transportation passages into the integrated transportation network to reduce operating costs, improve operational efficiency, and strengthen port through capacity.
Freight Autonomous Vehicle Deployment Scenarios and Preliminary Implications for Public Agency Autonomous Vehicle Planning
Fatemeh Ranaiefar, Fehr & PeersShow Abstract
Heather Monteiro, Hickory Ridge Group, LLC
Daniel Smith, Tioga Group
Jolene Hayes, Fehr & Peers
Seth Contreras, Fehr & Peers
While automation has existed within the supply chain for many years, it has typically occurred within private facilities such as warehouses and manufacturing facilities. In recent years, use of automation on the public right-of-way has become a concept of increasing reality, as well as of increasing concern for public agencies. This manuscript describes multiple deployment scenarios on the public right-of way of over-the-road (OTR) vehicles, sidewalk automated delivery robots (SADR), and unmanned aerial vehicles (UAV), generally called drones. Each deployment scenario is accompanied by feasibility, operating scenarios, net private benefits, cost structures, challenges, and preliminary state and local implications. Special attention is focused on the challenges in terms of deployment, infrastructure, and policy development. The research presented here is based on the initial results from NCHRP 20-102(22) State and Local Impacts of Automated Freight Transportation Systems.
Methods and Tools for Freight Flow Disaggregation
Karlis Pujats, University of MemphisShow Abstract
Mihalis Golias, University of Memphis
Sabya Mishra, University of Memphis
In this research, we present models and tools that can be applied (as is) to estimate disaggregate freight flow data and support freight planning and policy. Two methods were implemented to disaggregate HIS Global Insight’s TRANSEARCH commodity freight database using inputs from Infogroup InfoUSA business and consumer contact database and Bureau of Economic Analysis (BEA) Input-Output Accounts. The first method relies on the industry proportional weighting and economic indicator regression, where the industry proportional weighting utilizes the relationship between commodity-producing and using industries. The economic indicator regression utilizes the relationship between the aggregate zone economic indicators and freight flow productions and attractions. The second method is based on industry and economic indicator proportional weighting. Similar to the first method, the industry proportional weighting utilizes the relationship between commodity-producing and using industries. Economic indicator proportional weighting is used to allocate the aggregate-level zone value to disaggregate-level zones proportionally to the shares of industry economic indicators. The additional development of GIS-based tools, implementing the methodologies, further supports the application of this research outcome in transportation planning and policy decision making.
Design of a Truck Appointment System Considering Drayage Scheduling and Stochastic Turn Time
Mohammad Torkjazi, University of South CarolinaShow Abstract
Nathan Huynh (email@example.com), University of South Carolina
This paper develops a truck appointment system (TAS) considering variability in turn time at the container terminals. The consideration of this operational characteristic is crucial for optimal drayage scheduling. The TAS is formulated as a stochastic model and solved using the Sample Average Approximation (SAA) algorithm. Using turn time distributions obtained from actual data from a U.S. port, a series of experiments is designed to evaluate the effectiveness of the proposed stochastic TAS model compared to the deterministic version where an average turn time is used instead of a distribution. Numerical experiment results demonstrate the benefit of the stochastic TAS model given its lower drayage cost error by 3.9% compared to the deterministic TAS model. This result implies that the schedules produced by the stochastic TAS model are more robust and are able to accommodate a wider range of turn time scenarios. Another key takeaway from the experiment results is that the stochastic TAS model is more beneficial to utilize when the ratio of quotas to requested appointments is lower. Thus, in practice, when this ratio is more likely to be on the lower end, drayage companies would benefit more if the appointment schedule adopts the stochastic approach described in this paper.
Preference-based Multi-objective Optimization for Synchromodal Transport
Yimeng Zhang, Technische Universiteit DelftShow Abstract
Bilge Atasoy, Technische Universiteit Delft
Rudy Negenborn, Technische Universiteit Delft
Decision-makers in synchromodal transport have different preferences towards different objectives. To solve the conflicts among objectives and obtain preferred solutions, we develop a preference-based multi-objective optimization model. The optimization problem is formulated as a pickup and delivery problem with transshipment and weight intervals are assigned to objectives to represent decision-maker's vague preferences. An Adaptive Large Neighborhood Search is developed and used to obtain non-dominated solutions to construct the Pareto frontier. Moreover, synchronization is an important feature of synchromodal transport and it makes available resources fully utilized. Therefore, four synchronization cases are identified and studied to make vehicles cooperate with changes. Case studies in the Rhine-Alpine corridor are designed and the results show that the proposed approach provides non-dominated solutions which are in line with preferences. Moreover, the mode share under different preferences is analyzed, which signals that different policies in transportation will influence the mode share.
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