Travel times in congested urban road networks are highly stochastic. Provision of travel time distribution information, including both mean and variance, can be very useful for travelers to make reliable path choice decisions to ensure higher probability of on-time arrival. To this end, a heterogeneous data fusion method is proposed to estimate travel time distributions by fusing heterogeneous ...

The problem of vehicle guidance in a network with failures is considered. The network may be in one of nitely many states characterized by diierent travel times along the arcs, and transitions between the states occur according to a continuos-time Markov chain. The objective is to guide the vehicles in a manner minimizing the total expected travel time. Dynamic programming models and ow-oriente...

We address a routing and appointment scheduling problem with uncertain service travel times arising from home practice. Specifically, given set of customers within region that an operator needs to serve, we seek find the operator’s route time schedule. The quality decisions is function total operational cost, consisting customers’ waiting time, idle overtime. propose rigorously analyze stochast...

We consider a container routing problem with stochastic time variables in a sea-rail intermodal transportation system. The problem is formulated as a binary integer chance-constrained programming model including stochastic travel times and stochastic transfer time, with the objective of minimising the expected total cost. Two chance constraints are proposed to ensure that the container service ...

In this paper, a transit assignment model has been developed on stochastic networks, with considering vehicle capacity and scheduled timetable. The stochastic network based transit assignment model is appropriate to apply for bus and metro networks altogether since it can distinguish between uncertain and reliable travel times characteristics by imposing stochastic parameters on links or lines....

This paper uses a multiscale statistical framework to estimate groundwater travel times and to derive conditional travel time probability densities. In the applications of interest here travel time uncertainties depend primarily on uncertainties in hydraulic conductivity. These uncertainties can be reduced if the travel times are conditioned on scattered measurements of hydraulic conductivity a...

The emergence of corona virus (COVID-19) has create a great public concern as the outbreak is still ongoing and government are taking actions such as holiday extension, travel restriction, temporary closure of public work place, borders, schools, quarantine/isolation, social distancing and so on. To mitigate the spread, we proposed and analyzed a stochastic model for the continue spread of coro...