Jan 24, 2018 · We partition time into intervals and represent the cost of a path during an interval as a random variable, resulting in an uncertain time series ...

We partition time into intervals and represent the cost of a path during an interval as a random variable, resulting in an uncertain time series for each path.

We partition time into intervals and represent the cost of a path during an interval as a random variable, resulting in an uncertain time series for each path.

We partition time into intervals and represent the cost of a path during an interval as a random variable, resulting in an uncertain time series for each path.

We address the problem of choosing the best paths among a set of candidate paths between the same origin–destination pair. This functionality is used ...

Abstract: We address the problem of choosing the best paths among a set of candidate paths between the same origin-destination pair.

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. Jilin Hu, B. Yang, Chenjuan Guo, Christian S. Jensen. 2018, The ...

Jan 24, 2018 · Abstract. We address the problem of choosing the best paths among a set of candidate paths between the same origin–destination.

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach. Jilin Hu, Bin Yang*, Chenjuan Guo, Christian Søndergaard Jensen.

Risk-aware path selection with time-varying, uncertain travel costs: a time series approach-article.