Trip distribution forecasting in fuzzy multi-commodity transportation networks

In consequence of the increasing of regional economic activities in Pulau Batam, a reliable transportation system is required. Decreasing road network performance as a result of increasing traffic volume needs a strategic planning to anticipate the worsening condition in the future. One of the solutions is by providing mass transit system which is expected to attract private car users. Therefore, determination of potential corridor of mass transit system need to be identified so that the system provide better accessibility. Trip pattern in Pulau Batam must be known by developing trip distribution model. The trip distribution model is calibrated using origin-destination (O-D) data that is based on home interview survey. The validated model will be used to forecast and simulate travel demand onto transport network. Result of model calibration process shows mean trip length difference between model and survey is equal 0.141 %. From simulation of trip assignment is obtained that potential corridor for mass transit system using LRT is Batu Ampar – Batu Aji via Muka Kuning. Passenger forecast in the year 2030 is 193,990 passenger/day (2 directions).

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Best Neighbor Heuristic Search for Finding Minimum Paths in Transportation Networks

Transportation Research Record Journal of the Transportation Research Board ◽

10.3141/1651-07 ◽

1998 ◽

Vol 1651 (1) ◽

pp. 48-52 ◽

Cited By ~ 1

Author(s):

Jeffrey L. Adler

Keyword(s):

Heuristic Search ◽

Transportation Networks ◽

Transportation Network ◽

Search Problems ◽

A Algorithm ◽

Running Time ◽

Search Effort ◽

Wide Range ◽

Path Search ◽

Sparse Networks

For a wide range of transportation network path search problems, the A* heuristic significantly reduces both search effort and running time when compared to basic label-setting algorithms. The motivation for this research was to determine if additional savings could be attained by further experimenting with refinements to the A* approach. We propose a best neighbor heuristic improvement to the A* algorithm that yields additional benefits by significantly reducing the search effort on sparse networks. The level of reduction in running time improves as the average outdegree of the network decreases and the number of paths sought increases.

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Disruptive Innovation and Sunset Clauses: The Case of Uber and Other on Demand Transportation Networks

SSRN Electronic Journal ◽

10.2139/ssrn.3417083 ◽

2019 ◽

Author(s):

Antonios E. Kouroutakis

Keyword(s):

Transportation Networks ◽

Disruptive Innovation ◽

On Demand

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A Middleware-Based Approach for Multi-Scale Mobility Simulation

Future Internet ◽

10.3390/fi13020022 ◽

2021 ◽

Vol 13 (2) ◽

pp. 22

Author(s):

Xavier Boulet ◽

Mahdi Zargayouna ◽

Gérard Scemama ◽

Fabien Leurent

Keyword(s):

Modeling And Simulation ◽

Transportation Networks ◽

External Control ◽

Independent Mobility ◽

Time Step ◽

Time Representation ◽

Multi Scale ◽

Networks Analysis ◽

Maximal Benefit ◽

Do So

Modeling and simulation play an important role in transportation networks analysis. In the literature, authors have proposed many traffic and mobility simulations, with different features and corresponding to different contexts and objectives. They notably consider different scales of simulations. The scales refer to the represented entities, as well as to the space and the time representation of the transportation environment. However, we often need to represent different scales in the same simulation, for instance to represent a neighborhood interacting with a wider region. In this paper, we advocate for the reuse of existing simulations to build a new multi-scale simulation. To do so, we propose a middleware model to couple independent mobility simulations, working at different scales. We consider all the necessary processing and workflow to allow for a coherent orchestration of these simulations. We also propose a prototype implementation of the middleware. The results show that such a middleware is capable of creating a new multi-scale mobility simulation from existing ones, while minimizing the incoherence between them. They also suggest that, to have a maximal benefit from the middleware, existing mobility simulation platforms should allow for an external control of the simulations, allowing for executing a time step several times if necessary.

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