Publication date
January 2016
DOIAbstract
This chapter attempts to reconcile MATSim’s mechanisms of plan “mutation”, “selection” and “execution”, borrowed from evolutionary computation, with a discrete choice modeling perspective
This chapter attempts to reconcile MATSim’s mechanisms of plan “mutation”, “selection” and “execution”, borrowed from evolutionary computation, with a discrete choice modeling perspective
AbstractWe show how to combine statistically efficient ways to design discrete choice experiments ba...
This paper discusses the problem of specifying probabilistic models for choices (strategies) with un...
Our goal in this chapter is to explain concretely how to implement simulation methods in a very gene...
Agent-based transport simulations rely on realistic representation of agents’ movements in the trans...
International audienceAgent-based transport simulations rely on realistic representation of agents' ...
This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The n...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
Individuals behave with choice probabilities defined by a multinomial logit (MNL) probability distri...
In this paper, we compare two methods to model the formation of choice sets in the context of discre...
As travellers are faced with an increasing portfolio of transportation options, researchers are simi...
We show how to combine statistically efficient ways to design discrete choice experiments based on r...
In this paper, we compare two methods to model the formation of choice sets in the context of discre...
We detail the basic theory for models of discrete choice. This encompasses methods of estimation...
In this paper, we compare two methods to model the formation of choice sets in the context of discre...
AbstractWe show how to combine statistically efficient ways to design discrete choice experiments ba...
This paper discusses the problem of specifying probabilistic models for choices (strategies) with un...
Our goal in this chapter is to explain concretely how to implement simulation methods in a very gene...
Agent-based transport simulations rely on realistic representation of agents’ movements in the trans...
International audienceAgent-based transport simulations rely on realistic representation of agents' ...
This paper introduces new forms, sampling and estimation approaches fordiscrete choice models. The n...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
Until recently, computational constraints forced researchers in the discrete choice area to limit th...
Individuals behave with choice probabilities defined by a multinomial logit (MNL) probability distri...
In this paper, we compare two methods to model the formation of choice sets in the context of discre...
As travellers are faced with an increasing portfolio of transportation options, researchers are simi...
We show how to combine statistically efficient ways to design discrete choice experiments based on r...
In this paper, we compare two methods to model the formation of choice sets in the context of discre...
We detail the basic theory for models of discrete choice. This encompasses methods of estimation...
In this paper, we compare two methods to model the formation of choice sets in the context of discre...
AbstractWe show how to combine statistically efficient ways to design discrete choice experiments ba...
This paper discusses the problem of specifying probabilistic models for choices (strategies) with un...
Our goal in this chapter is to explain concretely how to implement simulation methods in a very gene...
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