Related Terms
An acyclic subgraph is a network without cycles (a cycle is a complete circuit). When following the network from node to node, a node is never visited twice.
A the shortest path computation that starts at the destination node. This is used when there is a preferred arrival time.
A dynamic passenger assignment model that is designed for scheduled transit service.
A shortest path computation that starts at the origin node. This is used when there is a preferred departure time.
A hyperlink consists of a set of transit links from a single origin to multiple possible destination nodes [ for forward-shortest-path finding ] or a set of links from a single destination to multiple possible origin nodes [ for backward-shortest-path finding ]. There may be multiple transit departures within a hyperlink.
An acyclic subnetwork with at least one link connecting the origin to the destination, and where at each node, there are probabilities for choosing the alternative links. In most hyperpath-based frameworks, this can be equivalent to the path choice set.
An alternative formulation to the path-size logit model which considers the relative size of the total utilities of the path. For example, deltas of short paths are perceived differently than deltas on long paths. For paths that are generally the same size, the results will be similar to a logit model formulation.
The parameter in the path-size logit model that scales the impact of the path size term.
Probabilistic assignment of passengers to paths in their pathset based on costs. Update of pathset feasibility.
A mathematical model for selecting a path from a set of feasible choices. Examples include the recursive logit model, path-size logit model, Kirchhoff model.
Path cost or generalized cost is a measure of impedance on a network object. It is typically composed of different variables, each with a fixed weight. Terms may include cost, in-vehicle time, number of transfers, wait time etc.
An additive measure of similarity between paths. In road-based path-choice models, this is often the distance of the shared links. In passenger-based path-choice models, this could include considerations for shared-routes, similar-routes, on/off stations, traversed stations, traverse distance and more. If the overlap variable is an indicator variable (šæ), then it can be 1 or 0; if it distance or cost, then it is a continuous variable.
In a set of possible paths through a transportation network, some portion of each of the paths may share a facility meaning that each choice in a choice set is not mutually exclusive. This is important in the context of choice modeling, since it violates the āIndependenceā in the IIA property of a Multinomial Logit. Formulations that compensate for this violation by discounting the āindependenceā of each path based on a measurement of commonality (the path overlap variable) include the path-size logit model.
A modified logit choice model where the utility equation for a path adds a path size variable to the utility of a path alternative in order to account for overlap between different path options.
In the context of a shortest path algorithm, stops are labeled with the overall generalized cost of travelling from that stop to the destination (in a forward shortest-path) or from that stop to the origin (in a backwards shortest-path). Stops can be iteratively updated throughout the algorithm.