A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport

Ouadi, Jihane El; Errousso, Hanae; Malhéné, Nicolas; Benhadou, Siham; Medromi, Hicham

doi:10.1007/s11135-021-01263-y

Cited by 2 publications

(1 citation statement)

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“…Belonging to the strategic layer, transshipment platforms allow transfers from one mode to another with easy loading and unloading onto and off vehicles. These facilities organize the splitting or composition of orders as far as a consolidation system is concerned (Ouadi et al 2021b). Efficient coordination of freight with regularly shared PTs is strongly linked to the aggregation of discreetly arriving flows across the residual capacity, which varies with time slots and the level of urban congestion.…”

Section: Transshipment Processmentioning

confidence: 99%

On understanding the impacts of shared public transportation on urban traffic and road safety using an agent-based simulation with heterogeneous fleets: a case study of Casablanca city

et al. 2022

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Simulation and computer modeling have a key role in understanding transportation systems. Focusing on the main system, real-time retrieval of outputs based on mutual interactions of the whole autonomous entities makes the agent-based simulation very promising. This paper deals with an agent-based simulation to investigate and evaluate the potential impacts of implementing Shared Public Transports (SPT) in urban areas. Such a system is intended to integrate the two flows of passengers and containerized freights in Public Transportation (PT) patterns towards more sustainable, efficient, and socially suitable mobility. The proposed model is coupled with a stochastic process in order to provide a range of real-world data of Casablanca city (Morocco) based on institutional surveys. In this respect, two urban transportation systems of freight are tested: (1) the conventional transportation system, (2) the SPT system with heterogeneous fleets. In an effort to sustain efficient and safe movements, this paper examines SPT performances according to a set of key evaluation metrics. Results show that PT stopping remains the most relevant factor when evaluating metrics of the number of waiting containers and waiting time of demand by rates of 82.440% and 62.580%, respectively. Such a waiting containers metric is significantly affected by the volume of demand to transport per time slot by a rate of 78.140%. Under SPT, traffic congestion is the main factor to consider in managing PT with a rate of 65.690% in order to reduce potential accidents. However, demand volume could increase the on-street illegal parking metric by 90.070%. More details are provided below.

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Section: Transshipment Processmentioning

confidence: 99%

On understanding the impacts of shared public transportation on urban traffic and road safety using an agent-based simulation with heterogeneous fleets: a case study of Casablanca city

et al. 2022

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Transport infrastructure of Russia: International corridors and transport hubs

Maksimov,

Pyataev

2023

E3S Web Conf.

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The article provides an analysis of the state of transport infrastructure in terms of international traffic. It analyses the condition and development projects of transport corridors that run through the territory of Russia, as well as transport hubs that connect commodity flows with other countries. The article uses the methods of comparative analysis, correlation and observation. The article presents Russia's connection to pan-European transport corridors, the problems of the Northern Sea Route, the North-South transport corridor linking Russia with Iran, and possible options for bypassing the Caspian Sea by rail. The problems of the Trans-Siberian and Baikal-Amur Mainlines are presented. The state and prospects of transport hubs: St Petersburg, Vladivostok and Rostov-on-Don. Features of these hubs, as well as projects for their development. The analysis shows that for the Russian Federation, whose economy is based on the export of raw materials, the most important mode of transport is rail, which provides transportation of different types of goods, and has a certain degree of mobility, compared to pipeline transport. Eliminating bottlenecks in transport infrastructure will contribute to lowering the cost of cargo on world markets by covering the supply base.

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A machine-learning based hybrid algorithm for strategic location of urban bundling hubs to support shared public transport

Cited by 2 publications

References 76 publications

On understanding the impacts of shared public transportation on urban traffic and road safety using an agent-based simulation with heterogeneous fleets: a case study of Casablanca city

On understanding the impacts of shared public transportation on urban traffic and road safety using an agent-based simulation with heterogeneous fleets: a case study of Casablanca city

Transport infrastructure of Russia: International corridors and transport hubs

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