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Integrated Land-Use and Transportation Models
Type: Book
ISBN: 978-0-080-44669-1

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Book part
Publication date: 8 May 2003

Anthony Chen, Zhaowang Ji and Will Recker

Travel time variability has generally been recognized as one of the most important attributes in travelers' route choice decisions. In fact, many empirical studies have…

Abstract

Travel time variability has generally been recognized as one of the most important attributes in travelers' route choice decisions. In fact, many empirical studies have indicated that both passengers and freight carriers are strongly averse to travel time variability, because it introduces uncertainty to their route choice decisions. In this chapter, we examine the effect of incorporating travel time variability and risk-taking behavior into the route choice models and its impact on the estimation of travel time reliability under demand and supply variations.

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The Network Reliability of Transport
Type: Book
ISBN: 978-0-08-044109-2

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Travel Survey Methods
Type: Book
ISBN: 978-0-08-044662-2

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Book part
Publication date: 31 January 2015

WY Szeto, Yi Wang and Ke Han

This chapter explores a descriptive theory of multidimensional travel behaviour, estimation of quantitative models and demonstration in an agent-based microsimulation.

Abstract

Purpose

This chapter explores a descriptive theory of multidimensional travel behaviour, estimation of quantitative models and demonstration in an agent-based microsimulation.

Theory

A descriptive theory on multidimensional travel behaviour is conceptualised. It theorizes multidimensional knowledge updating, search start/stopping criteria and search/decision heuristics. These components are formulated or empirically modelled and integrated in a unified and coherent approach.

Findings

The theory is supported by empirical observations and the derived quantitative models are tested by an agent-based simulation on a demonstration network.

Originality and value

Based on artificially intelligent agents, learning and search theory and bounded rationality, this chapter makes an effort to embed a sound theoretical foundation for the computational process approach and agent-based micro-simulations. A pertinent new theory is proposed with experimental observations and estimations to demonstrate agents with systematic deviations from the rationality paradigm. Procedural and multidimensional decision-making are modelled. The numerical experiment highlights the capabilities of the proposed theory in estimating rich behavioural dynamics.

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Logistics Systems for Sustainable Cities
Type: Book
ISBN: 978-0-08-044260-0

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Book part
Publication date: 15 January 2010

Emma Frejinger and Michel Bierlaire

This paper deals with choice set generation for the estimation of route choice models. Two different frameworks are presented in the literature: one aims at generating…

Abstract

This paper deals with choice set generation for the estimation of route choice models. Two different frameworks are presented in the literature: one aims at generating consideration sets and one samples alternatives from the set of all paths. Most algorithms are designed to generate consideration sets but fail in general to do so because some observed paths are not generated. In the sampling approach, the observed path as well as all considered paths is in the choice set by design. However, few algorithms can be actually used in the sampling context.

In this paper, we present the two frameworks, with an emphasis on the sampling approach, and discuss the applicability of existing algorithms to each of the frameworks.

Details

Choice Modelling: The State-of-the-art and The State-of-practice
Type: Book
ISBN: 978-1-84950-773-8

Abstract

Details

Transportation and Traffic Theory in the 21st Century
Type: Book
ISBN: 978-0-080-43926-6

Abstract

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Freight Transport Modelling
Type: Book
ISBN: 978-1-78190-286-8

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Article
Publication date: 30 November 2018

Anand Jaiswal, Cherian Samuel and Chirag Chandan Mishra

The purpose of this paper is to provide a traffic route selection strategy based on minimum carbon dioxide (CO2) emission by vehicles over different route choices.

Abstract

Purpose

The purpose of this paper is to provide a traffic route selection strategy based on minimum carbon dioxide (CO2) emission by vehicles over different route choices.

Design/methodology/approach

The study used queuing theory for Markovian M/M/1 model over the road junctions to assess total time spent over each of the junctions for a route with junctions in tandem. With parameters of distance, mean service rate at the junction, the number of junctions and fuel consumption rate, which is a function of variable average speed, the CO2 emission is estimated over each of the junction in tandem and collectively over each of the routes.

Findings

The outcome of the study is a mathematical formulation, using queuing theory to estimate CO2 emissions over different route choices. Research finding estimated total time spent and subsequent CO2 emission for mean arrival rates of vehicles at junctions in tandem. The model is validated with a pilot study, and the result shows the best vehicular route choice with minimum CO2 emissions.

Research limitations/implications

Proposed study is limited to M/M/1 model at each of the junction, with no defection of vehicles. The study is also limited to a constant mean arrival rate at each of the junction.

Practical implications

The work can be used to define strategies to route vehicles on different route choices to reduce minimum vehicular CO2 emissions.

Originality/value

Proposed work gives a solution for minimising carbon emission over routes with unsignalised junctions in the tandem network.

Details

Management of Environmental Quality: An International Journal, vol. 30 no. 3
Type: Research Article
ISSN: 1477-7835

Keywords

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Book part
Publication date: 24 August 2004

William H.K. Lam and Hong K. Lo

Abstract

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Handbook of Transport Geography and Spatial Systems
Type: Book
ISBN: 978-1-615-83253-8

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