We study the problem of computing traffic assignments for public transit networks: Given a public transit network and a demand (i.e. a list of passengers, each with associated origin, destination, and departure time), the objective is to compute the utilization of every vehicle. Efficient assignment algorithms are a core component of many urban traffic planning tools. In this work, we present a...

This report investigates the role that public transit can play in reducing traffic congestion. Investigates the role that public transit can play in reducing traffic congestion. This analysis indicates that high quality public transit tends to reduce congestion by attracting travelers who would otherwise drive. As public transit service improves on a corridor (including improved speed, convenie...

Customer satisfaction analyses are deeply based on customers’ judgments and as consequence, they can be characterized by a certain degree of uncertainty generally ascribed to coexistence of three relevant aspects: vagueness, imprecision and subjectivity. In the present paper, a methodology able to handle such uncertainty, based on the ServQual discrepancy paradigm and that uses in combined mann...

In recent decades, Building Information Modeling (BIM) is well-known and has been widely accepted by AEC industry since it could make less mistakes, conflicts, and bring more profits as well as improve the level of communication and coordination. However, in the Operation and Maintenance phase, most of the owners including the transit agencies, still lack the knowledge about what BIM deliverabl...

This article presents ongoing research on the initial development of a decision support system (DSS) framework for integrated emergency vehicle preemption and transit priority system investment planning. A conceptual intelligent DSS framework provides a holistic framework to perform analytical assessments of integrated emergency vehicle preemption and transit priority systems. Three analytical ...

Mobile technologies are generating new business models for urban transport systems, as is evident from recent startups cropping up from the private sector. Public transport systems can make more use of mobile technologies than just for measuring system performance, improving boarding times, or for analyzing travel patterns. A new transaction model is proposed for public transport systems where ...

Nowadays the public transportation system like the metro are well advanced. Passenger safety, convenience and the need to improve the performance of existing public transportation is driving demand for intelligent transportation system in the market. The paper we introduce, proposes a novel fare estimation technique using Automated Fare Collection (AFC) System and Radio Frequency Identification...