Due to limited transit network coverage and infrequent service, suburban commuters often
face the transit first mile/last mile (FMLM) problem. To deal with this, they either drive to a …

In transportation networks with stochastic and dynamic travel times, park-and-ride decisions
are often made adaptively considering the realized state of traffic. That is, users continue …

This paper focuses on the problem of finding optimal trajectory-adaptive routing strategies in
stochastic time-varying networks with generalized spatio-temporal correlations. A …

This paper studies an iterative stochastic algorithm for solving the stochastic shortest path
problem. This algorithm, which uses a distributed learning automata, tries to find the shortest …

针对现实配送过程中配送任务既有可能延后完成也可能提前完成, 从而带来损失的实际情况,
研究了带有提前和拖期风险的4PL 路径优化问题. 建立了以最小化物流配送费用为优化目标 …

In this thesis, we propose a novel algorithm for stochastic routing optimized for autonomous
vehicles. The key idea of stochastic routing is to include information on travel time reliability …

Real-time information about traffic conditions is becoming widely available through various
media and connected-vehicle technology. In such conditions, travelers have better …

Travel time is a key aspect of capturing and evaluating the operational performance and
service quality of transportation systems, and travel time improvement is a common objective …

Abstract in distribution practices, the delivery task may be delayed or completed in advance,
both of which will increase the distribution cost and decrease the revenue, resulting the …