Coordinating the departure times of different line directions' first and last trains contributes to passengers' transferring. In this paper, a coordination optimization model (i.e., M1) referring train's time is constructed firstly minimize total originating waiting transfer for trains. Meanwhile, other M2) trains' built reduce inaccessible passenger volume all origin-destination (OD) improve accessible reliability Secondly, two genetic algorithms, in which fixed-length binary-encoding...

The emergence of large-scale social signal data has provided unprecedented opportunities to develop techniques for improving transportation systems. In this paper, we use two types data, namely, mobile phone and subway card investigate congestion avoidance routing methodologies in the Beijing San Francisco road networks. were used estimate detailed travel demand information target sources congestion, order intelligent models. We study fundamental scenarios, shortest path (SP) scenario...

Reinforcement learning (RL) has been applied to solve ramp-metering problems and attracted increasing attention in recent studies. However, improving traffic efficiency is the main concern of these applications, issue relating user equity not well considered. A new RL-based system developed this paper deal with equity-related problems. With definition three RL elements, including reward, action, state, can capture information balance it efficiency. Simulation experiments using real data...

Abstract Based on the transfer network composed of urban rail line and bus routes, this paper studies an optimal design problem feeder-bus related to under M-to-M passenger demand pattern between stops railway stations, minimize travel cost transit operating cost. More comprehensively considered include waiting accurate riding cost, buses trains, We present a new genetic algorithm which determines frequency strictly constraints condition. The numerical examples patterns are provided. It...

This paper is devoted to designing a mixed-integer linear programming solve the simultaneous line planning and timetabling problem. A directed graph first constructed represent combinational travel network for both candidate trains passengers. Through this graph, it easy simultaneously describe trains' operation choices, passengers' their restrictive relations. Based on it, model with many binary non-negative integer decision variables built optimize plan, timetable, passenger which can be...

Urban rail transit fare strategies include structures and levels. We propose a line decision based on an operating plan that falls under elastic demand. Combined with the train operation plan, considering flat distance-based fare, benefit analysis of both passenger flow enterprises, we construct objective functions build optimization model in terms operators’ interests, system’s efficiency, system regulation goals, costs. The solving algorithm simulated annealing is established. Using as...

This paper studies the multistage pricing and seat allocation problems for multiple train services in a high-speed railway (HSR) with origins destinations (ODs). Taking maximum total revenue of all trains as objective function, joint optimization model is established. The actual operation constraints, including capacity price time constraints each period, space among products, are fully considered. We reformulate bilevel multifollower programming which upper-level solves problem serving ODs...

This paper studied the classic feeder-bus network design problem (FBNDP), which can be described as follows: for passenger travel demand between rail stations and bus stops on a given urban transit network, it designs optimal feeder routes frequencies so to minimize passengers’ expense operator’s cost. We extended pattern of M-to-1 in most existing researches M-to-M. comprehensively considered cost, includes waiting riding cost bus, rail, transfer these two transportation modes, presented...

Not only is the operating plan basis of organizing marshalling station’s operation, but it also used to analyze in detail capacity utilization each facility station. In this paper, a long-term optimized mainly for analysis. Firstly, model developed minimize railcars’ average staying time with constraints minimum intervals, track capacity, and so forth. Secondly, an algorithm designed solve based on genetic (GA) simulation method. It divides whole planning horizon into many subplans,...

Urban rail crew scheduling problem is to allocate train services crews based on a given timetable while satisfying all the operational and contractual requirements. In this paper, we present new mathematical programming model with aim of minimizing both related costs duty variance time spreads. addition iincorporating commonly encountered constraints, it also takes into consideration constraint arranging having meal in specific period one day rather than after minimum continual service time....

In recent years, with the global energy shortage and severe environmental deterioration, railway transport has begun to attract great interest as a green transportation mode. One of vital means realize social sustainable development is improve systems, in which providing demand-oriented train timetable higher service level most viable method. A problem generally deals passengers’ train-choice decisions according queue principle, but it not adapted rail such China’s, where passengers usually...

Differential pricing of trains with different departure times caters to the taste heterogeneity time-dependent (departure time) demand and then improves ticket revenue railway enterprises. This paper studies optimal differential for intercity high-speed services. The distribution features passenger regarding are analyzed, is formulated; a assignment method considering periods capacity constraints constructed evaluate prices by simulating ticket-booking process. Based on these, an...

The Train Operation Plan (TOP) of urban rail transit (URT) is a comprehensive plan for the operation trains, use facilities and equipment, organization other operational tasks. TOP should not only be formulated in terms time-varying passenger flow periods, but it also arranged to consider substitutability trains between multiple routes combined with choice. Based on principle “operating by flow” requirement precise allocation transport capacity routes, this article constructs multiobjective...

This paper addresses the effect of formation length and service frequency on determination train timetables. The case inter-city rail transport is considered since planning through journals allows problem to be significantly simplified. Based analysis passengers’ generalized travel expense, law passenger boarding choice considering schedule delay cost studied extended. Then under condition found. states that distribution expected time passengers every sequential, continuous symmetric...