With the explosive growth of mobile data, demand high-speed railway (HSR) passengers for broadband wireless access services urgently needs support ultra-high-speed scenario communication. Millimeter-wave (mmWave) can achieve high data transmission rates, but it is accompanied by propagation loss and vulnerability to blockage. To address this issue, developments directional antennas unmanned aer...

In heavy traffic nodes of rail networks, as in main stations, conflicts and subsequent train delays greatly propagate during operations. A disturbance which is at origin only a few seconds long can quickly lead to other delays of over five minutes. To limit this phenomenon, newmethods andmodels are necessary to optimise the use of scarce resources like platforms and track sections. The operator...

Real-time train dispatching (i.e., rescheduling and replatforming) in passenger railway stations is a very important challenging task. In most major stations, this task carried out by hand highly trained dispatchers who use their extensive experience to find near-optimal solutions under conditions. With several simultaneous deviations from the timetable, however, traffic situation may become to...

In this paper we present the deadlock avoidance approach used in the design of the scheduling kernel of an Automatic Train Supervision (ATS) system. The ATS that we have designed prevents the occurrence of deadlocks by performing a set of runtime checks just before allowing a train to move further. For each train, the set of checks to be performed at each step of progress is retrieved from stat...

A scheduling strategy considering demand variation during the day and within the network is outlined. The optimal headway is calculated taking into account demand and supply simultaneously achieving equilibrium. The train service structure is complicated due to different headways for each hour of the day and various parts of the network. Short train headways shall be provided for sections with ...

This paper experiences a three-phrase back-propagation neural network approach to forecast short-term railway passenger demand. The first phase involves the selection of variables, the size of training data set, and the modification of stochastic outliers, under a specific origin-destination (O/D) pair of a given train service. In the second phase, in order to verify the robustness of developed...

The most important operating problem for intercity rail lines, which are characterized with the train operations at rapid speed and high frequency, is to design a service-oriented schedule with the minimum cost. This paper proposes a phase-regular scheduling method which divides a day equally into several time blocks and applies a regular train-departing interval and the same train length for e...

A two-phase approach for the train unit scheduling problem is proposed. The first phase assigns and sequences train trips to train units temporarily ignoring some station infrastructure details. Real-world scenarios such as compatibility among traction types and banned/restricted locations and time allowances for coupling/decoupling are considered. Its solutions would be near-operable. The seco...

-This paper presents a multiobjective genetic algorithm (MOGA)to solve the train crew pairing problem in railway companies. The proposed MOGA has several features, such as 1) A permutation-based model is proposed rather than the 0-1 set partition model. 2) Instead of pre-assigning a fixed group number of crewmembers, the proposed method can determine it by performing the evolutionary process. 3...