Advancement in the fields of electrification, automation, and digitalisation emerging social trends are fuelling transformation road transport resulting introduction various innovative mobility solutions. Yet reaction people to many new solutions is still vastly unknown. This creates an unprecedented quandary for planners who requested design future systems create related investment plans witho...

Time geography had led geographers to analyse and model activity-travel patterns since the 1970s. The notion that activity-travel patterns are highly constrained has been frequently used in analytical studies and models of space-time behaviour. The popularity of this field of research lost most of its momentum in geography in the 1990s, but is now the dominant approach among civil engineers in ...

This paper illustrates an approach to combining the benefits of a multi-agent system architecture with the use of industry-standard modelling techniques using the Unified Modeling Language (UML). Using a UML profile for ontology modelling, an ontology for travel booking services is presented and the automatic derivation of an object-oriented content language for this domain is described. This c...

This paper presents the Transport Disruption ontology, a formal framework for modelling travel and transport related events that have a disruptive impact on traveller’s journeys. We discuss related models, describe how transport events and their impacts are captured, and outline use of the ontology within an interlinked repository of the travel information to support intelligent transport systems.

Modeling travel behavior is a key aspect of demand analysis, where aggregate demand is the accumulation of individuals’ decisions. In this chapter, we focus on “short-term” travel decisions. The most important short-term travel decisions include choice of destination for a non-work trip, choice of travel mode, choice of departure time and choice of route. It is important to note that short-term...

Several activity-based transportation models are now becoming operational and are entering the stage of application for the modelling of travel demand. Some of these models use decision rules to support its decision making instead of principles of utility maximization. Decision rules can be derived from different modelling approaches. In a previous study, it was shown that Bayesian networks out...

OPTIMA is an innovative ITS (Intelligent Transport Systems) platform for traffic monitoring and management, that provides off-line estimates and real-time forecasts concerning the use (vehicle flows) and the performances (travel times) of the road networks. To this end, OPTIMA exploits an advanced methodology for modelling transport demand and vehicle congestion, through which the behaviour of ...

On 28 December 2014, the Beijing subway’s fare policy was changed from “Two Yuan” per trip to the era of Logging Ticket Price, charging users by travel mileage. This paper aims at investigating the effects of Beijing subway’s new fare policy on the riders’ attitude, travel pattern and demand. A survey analysis was conducted to identify the effects of the new fare policy for Beijing subway on ri...