Passenger route guidance system for multi-modal transit networks

Abstract

In many public transport oriented cities in the world, especially Asian cities, the public transport system has been developed extensively, to the extent that it has become increasingly difficult to navigate. Although inter-modal transfers are common and often necessary, a complete set of the routes across transport modes is generally not presented in a form that is accessible to travelers, as each operator would only publish its own routes. Moreover, the common nonlinear fare tables together with inter-modal fare discounts pose challenges to travelers in deciding their best routes. This study develops a multi-modal passenger route guidance system, called eFinder, to aid travelers with their combined mode-route choices. We discuss the architecture and features of this system in this study. This system forms a platform for disseminating public transit information and should complement further development and use of the public transport network by enabling travelers to make informed choices.

Optimizing Bus Line Based on Metro-Bus Integration

“…Schmöcker et al [13,14] introduced the "boarding failure" probability processing line capacity limitation problem and proposed a bus scheduling model based on dynamic frequency. In a multi-to-multi-demand urban traffic corridor, Chien et al [15,16] developed an optimization model for regional transportation systems between the joint metro transit and feeder bus system. In the perspective of technical and economic characteristics.…”

Algorithms for Itinerary Planning in Multimodal Transportation Networks

“…Constraint (5) implies that the arrival time at the intermediate node v q should lie within the time window [a e v q , a l v q ]. Constraint (6) implies that the mandatory visit at stop v q should last for at least t v q time units, whereas constraint (7) …”

“…During the past decade, many advanced public transport information systems have been developed, providing journey planning services with the objective of determining the shortest itineraries in terms of the travel time or the cost [3], [4]. Nowadays, these types of services are directly accessible by the travelers through online web-based applications [2], [5]- [7]. The existing journey planning services aim to determine the itinerary between an origin-destination pair that optimizes either the travel times, number of transfers, or walking time, given the preferable departure or arrival time stated by the user and considering constant (average) travel times.…”

Dynamic System Optimal Routing in Multimodal Transit Network

“…Step 2 (Dynamic network loading): Loading the time-dependent travel demand on the multimodal transit network and run the transit system simulation. When passengers arrive at his/her respective destination, compute his/her generalized travel cost by (2). Compute the time-dependent path marginal cost with respect to passenger's departure time interval by (14) and (15).…”

“…Existing multimodal itinerary guidance systems can be found in (1,2,3). These For this issue, previous studies (4) on road route guidance systems suggest that the shortest path based route guidance is effective in reducing user's travel time for few equipped vehicles but not for a large proportion of equipped vehicles.…”