efficiency

The study collected information through a web-based stated preference survey sent to fleets and carrier companies to gather data about their economics, and their vehicle purchase preferences. The project also developed a multi-criteria decision-making tool using a Spherical Fuzzy Analytical Hierarchy Process based on experts’ knowledge.

This project developed a centrally coordinated load balancing system that considers all user demands and generates individual routes that balance freight loads across the network by minimizing cost.

This project focuses on the problem of error detection and data recovery of partially malfunctioning sensors that could provide valuable information. The results of three network examples with different scales demonstrate the applicability of the proposed method in a large variety of scenarios. This research improves fundamental knowledge on transportation data analytics as well as the effective management of data and information infrastructure in transportation practice.

This report details the development and application of a spreadsheet tool which enables the evaluation and use of electric and hydrogen Zero Emission Vehicles (ZEVs) within the Caltrans fleet.

In this white paper, state-of-the practice intelligent transportation system (ITS) programs that are environmentally beneficial are highlighted spanning the three main areas of ITS, including, Vehicle Systems, Traffic Management Systems, and Traveler Information Systems.