Project Number:
00-15
Research Project:
Dynamic Optimization of Cargo Movement by Trucks in Metropolitan Area with Adjacent Ports
P.I. Names & Addresses:
Petros Ioannou
Center for Advanced Transportation Technologies
University of Southern California
EE-Systems
Los Angeles, CA 90089-2562
Tel: (213) 740 4452
Fax: (213) 740 4418
Email: Ioannou@rcf.usc.edu
Anastasios Chassiakos
College of Engineering
California State University, Long Beach
1250 Bellflower Blvd.
Long Beach, CA. 90840-5602
Tel: (562) 985-4278
Fax: (562) 985-8022
Email: achassk@engr.csulb.edu
Project Objective:
The objective of this proposal is to optimize cargo movement by trucks in a metropolitan traffic network and adjacent ports.The specific traffic network area that includes a major portion of Los Angeles Central City East, Long Beach, the Alameda corridor and the Port of Long Beach will be used as a case study.
Project Abstract:
Congestion in and around ports in metropolitan areas is a serious problem for trucking companies and ports.This problem is exaggerated further by the lack of optimal scheduling that often causes most of the containers to be stored at the terminal for longer periods of time waiting to be processed.Delays due to congestion and lack of optimal scheduling lead to inefficiency, loss of revenue and high cost that in turn make the port less competitive and less attractive to shippers.
The purpose of this proposal is to study the cargo movement by trucks through a metropolitan traffic area to/from the port by taking into account congestion at the port, congestion within the traffic network, delays at the port entrance, scheduling of ship arrivals/departures, and other constraints in an effort to optimize cargo movement.The area that includes a portion of Los Angeles (Central City East), Long Beach, the Alameda corridor and the port of Long Beach will be used as a case study.The work will utilize results and software tools developed by the Principal Investigators from a one-year project funded under METRANS on route guidance of trucks in metropolitan areas.
The expected results of this work will be algorithms for routing and scheduling that could be used to optimize cargo movement through a traffic network associated with a port. The routing and scheduling algorithms will be based on multi objective criteria imposed by the port, traffic network, quality of service etc.One of the deliverables will be a report that describes the development, evaluation, and simulation of the routing and scheduling algorithms in general, and for the case study considered.Another deliverable will be software that interfaces with GIS and allows simulation and implementation of the algorithms developed.
Project Poster
Task Descriptions:
1.Identify objectives and constraints
2.Formulate the problem as a dynamic optimization problem with multiple objectives
3.Develop Algorithms
4.Artificial Intelligence Techniques
5.Case Study Evaluation and Simulations
Milestones, Dates:
Final report will be delivered by 7/31/01
Yearly Budget:
$96,944
Total Budget:
$196,944
Student Involvement:
1 Graduate Research Assistant, 12 months @ 25% Effort
1 Graduate Student, 12 Months 50% Effort
Relationship to Other Research Projects:
Project falls in the goods movement and international trade focus area.
Project is a follow-up to 99-7.
Like 00-5 and 99-27, the project addresses truck routing.
Technology Transfer Activities:
Results will be communicated to DOT and truck Indus
Project report will be posted on METRANS website.
Potential Benefits of the Project:
Reduced traffic congestion, reduced travel time, and more reliable travel
TRB Keywords:
Trucking, Dynamic Route Guidance, Traffic Flow, Vehicle Dynamics
Primary Subject:
Fleet Operational Management - Technologies that facilitate efficient movement of cargo and people among modes and provide needed information to shippers and travelers.
Goals:
Economic Growth and Trade
Enabling Research:
Computer, Information and Communication, Tools for Modeling and Design
Modal Orientation:
Highway
