Workforce Development Resources

The method of assessment is as follows: analyze the generation of truck traffic, where different number of trucks are generated by the type of facility located within a freight village. A typical freight village model was created and was applied to six sites. The number of trucks generated by facilities is estimated using the truck trip rates from the ITE Trip Generation manual and relevant figures. To assess the impact of alternative land uses compared to freight village development, various scenarios were used for comparisons which include development of a business park, an amusement park and a regional park. The traffic impact of a freight village will then be compared to that of alternative developments.

A nascent ridesharing industry is being enabled by new communication technologies and motivated by the many possible benefits, such as reduction in travel cost, pollution, and congestion. Understanding the complex relations between ridesharing and traffic congestion is a critical step in the evaluation of a ridesharing enterprise or of the convenience of regulatory policies or incentives to promote ridesharing. In this work, we propose a new traffic assignment model that explicitly represents ridesharing as a mode of transportation. The objective is to analyze how ridesharing impacts traffic congestion, how people can be motivated to participate in ridesharing, and conversely, how congestion influences ridesharing, including ridesharing prices and the number of drivers and passengers. This model is built by combining a ridesharing market model with a classic elastic demand Wardrop traffic equilibrium model. Our computational results show that: (1) the ridesharing base price influences the congestion level, (2) within a certain price range, an increase in price may reduce the traffic congestion, and (3) the utilization of ridesharing increases as the congestion increases.

This paper proposes a trip chain order model for simulating retailer restocking within urban and metropolitan area. It is part of the general modelling system developed by the authors for simulating urban freight demand which considers both demand and logistic sub-systems. The former allows us to obtain the freight Origin-Destination (OD) matrices in quantities and deliveries per transport service type, time slice and vehicle type. The latter allows us to obtain the vehicle OD matrices according to the journey characteristics (i.e. number and sequence of delivery points) in order to restock economic activities located within the study area.

This approach, known in literature as tour-based approach, aims at reproducing the choice structure of the restocking process and the sequence of delivery points (stops) for vehicle journeys, considering dependences existing among subsequent trips of the same journey. It implies that each destination zone to be delivered is chosen depending on the previous and the next destination ones. The logistic subsystem of the proposed modelling system can be divided in two parts: the first which defines the trip chain order (i.e. the number of deliveries made during a tour); the second one which considers the choice of the stop locations.

This paper focuses on the specification and calibration of a trip chain order model using data collected in the city centre of Rome.

Research objective is to recommend effective strategies for recruiting, developing, and retaining high-quality managers for fixed-route and Paratransit systems. Results should serve large, medium, and small urban and rural public, private-for-profit, and private non-profit systems.

Members of Southern California Regional Transit Training Consortium, administered by The APTREX Institute. CSULB is also a partner with community colleges in the developing CA Transportation and Logistics Institute (CATLI). CATLI is designed to ensure that a full range of educational services and opportunities are aligned with a career pathways focus, in order to develop a skilled workforce.

We consider the Multiple Vehicle Pickup and Delivery Problem (MVPDP) with objective of minimizing the total travel cost and the fixed vehicle cost. Most of the optimization based approaches for solving the MVPDP are developed for a restrictive hard time window or tight capacity environment that depend significantly on the reduction of the feasible solution space. We develop an alternative optimization solution approach for the MVPDP that does not require these constraints to be tight. The problem is formulated as a 0-1 integer-programming problem. A branch-and-cut algorithm is developed to optimally solve the problem. Four classes of valid inequalities for the MVPDP are proposed. By using the proposed solution approach, we were able to optimally solve problem instances of up to 5 vehicles and 17 customers on problems without clusters and up to 5 vehicles and 25 customers on problems with clusters within a stopping criterion of three CPU hours on a Sun Fire 4800 Server.

Trains operating in densely populated metropolitan areas typically encounter complex trackage configurations. To make optimal use of the available rail capacity, some portions of the rail network may consist of single-track lines while other locations may consist of double- or triple-track lines. This paper develops a branch-and-bound procedure for determining the optimal dispatching times for trains traveling in complex rail networks. We demonstrate the efficiency of our branch-and-bound algorithm by comparing it to CPLEX, a commercially available integer program solver, on an actual rail network in Los Angeles County.

A multi-factorial model is presented that assesses the performance of authorities in dealing with the issues derived from freight transport within cities. Such an index was inspired by the efforts made by other OECD countries to lessen environmental and social impacts of freight transport within the urban areas. The model produces an Urban Freight Transport Index (UFTI), which quantifies the intention of the authorities to cope with urban freight transport externalities. A mid-size Mexican city is rated with 115 points, from an ideal 807 points.

The purpose of this study is to develop a methodology for examining existing class-based toll structures for "fairness" between different commercial truck classes and for optimizing toll rates within each class to fully recover the total cost of pavement consumed by trucks. A theoretical methodology for setting toll rates to optimize cost recovery within a given class and achieve fairness between classes is defined. Methods for analyzing existing toll rate structures using weigh-in-motion (WIM) data in the absence of full vehicle identification information are also described. A case study of Texas State Highway 130 demonstrates the usefulness of WIM data for analysis of a toll classification system based on number of axles.