In this paper, we present PARKAGENT, an agent-based, spatially explicit model for parking
in the city. Unlike traditional parking models, PARKAGENT simulates the behavior of each …

This article proposes two models to analyse parking search: an analytical model called
PARKANALYST and a geosimulation model, termed PARKAGENT, which explicitly accounts …

Parking choice is an essential part of individual transportation; however, many travel
demand and traffic simulations do not include parking. This paper reports on a proposal for a …

Parking is a major constraint for car users and therefore an important factor in mode choice
decisions. In this paper we introduce a model to simulate parking search behavior for cars …

Cruising-for-parking is a common phenomenon in many urban areas worldwide. Properly
understanding and mitigating cruising can reduce travel times, alleviate traffic congestion …

Car parking policies often aim to relieve or better distribute parking demand in central urban
areas. Evaluating their effectiveness requires the investigation of traveller behaviour and …

Urban traffic is becoming more and more intensive, but the amount of space available for
parking along city streets is not increasing at a rate commensurate with the rising number of …

This paper extends a trip-based aggregate dynamic traffic model to account for on-street
parking search. The trip-based approach for a road network defined as a reservoir …

In this paper, we propose a new macro-micro approach to modeling parking. We first
develop a microscopic parking simulation model considering both on-and off-street parking …

Parking availability information (or occupancy of parking facility) is highly valued by
travelers, and is one of the most important inputs to many parking models. This paper …