Intelligent Transportation Systems (ITS) applications require a thorough understanding of drivers' route choice behavior in a complex network under real-time information. The purpose of this paper is to describe and model driver route choice behavior in a road network based on real time traffic information at the disaggregate individual level and from a psychological decision-making process per...

This paper examines the morning commute route choice behavior of 182 drivers, using disaggregated GPS-based activity data collected during a ten-day period. This paper attempts to describe how these commuters tend to behave in the real world. A binary logit model of morning commuters’ choice between using a single commute route and multiple routes was established, based upon the evidence of dri...

Travel demand emerges from individual decisions. These decisions, depending on individual objectives, preferences, experiences and spatial knowledge about travel, are both heterogeneous and evolutionary. Research emerging from fields such as road pricing and ATIS requires travel demand models that are able to consider travelers with distinct attributes (value of time (VOT), willingness to pay, ...

The decision to participate in infant screening often rests with parents. Medical ethics require that parental decision is elicited from informed choice. Such a decision is influenced by the parental knowledge and attitude towards screening and a careful evaluation of these factors is essential in seeking informed consent for infant hearing screening.

Although many individual route choice models have been proposed to incorporate travel time variability as a decision factor, they are typically still deterministic in the sense that the optimal strategy requires choosing one particular route that maximizes utility. In contrast, this study introduces an individual route choice model where choosing a portfolio of routes instead of a single route ...

Human route choice is undeniably one of the key contributing factors towards traffic dynamics. However, most existing macroscopic models are typically concerned with driving behavior and do not incorporate human in their formulation. In this paper, we propose a socio-technical model that characterizes states using attributes. Essentially, such provides framework for capturing Cyber-Physical-Soc...

In vehicular traffic planning it is a long standing problem how to assign demand such on the available model of a road network that an equilibrium with regard to travel time or generalized costs is realized. For pedestrian traffic this question can be asked as well. However, as the infrastructure of pedestrian dynamics is not a network (a graph), but two-dimensional, there is in principle an in...

This paper presents an agent-based model to address the pedestrian route choice problem in shopping malls. Route choice in shopping malls may be defined by a number of causal factors. Shoppers may follow a pre-defined schedule, they may be influenced by other people walking, or may want to get a glimpse of a familiar shopping. The route choice process assumes that the cost of each route can be ...

Our route choices depend on our own mental map of the city. This assumption, brought from the areas of spatial cognition and cognitive mapping, establishes a distorted graph as the cognitive model that represents our trips. The task of trajectory prediction consists of determining, when a driver is making a trip, which path will be chosen. Our approach consists of transforming the map according...

In a novel experimental task, individuals are asked to navigate from a start word to a goal word through a semantic network. In this forced-choice task, individuals perform with a high success rate (73%) and frequently navigate to the target in the minimal number of required steps (22%). We utilize these experimental results to explore different search and decision strategies. Our descriptive m...