Optimizing the Link Directions of Personal Rapid Transit Network

Zhao, Kangjia; Jin, Jian Gang; Wang, Yadong; Lee, Der-Horng

doi:10.1109/tits.2017.2776156

Cited by 8 publications

(4 citation statements)

References 14 publications

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“…Authors of the report also presented their perspective of future developments in this mode of transport" [18]. Part of the scientific literature addressing this body of problems focuses on the matters of vehicle traffic control and management, safety and flow capacity analysis, as considered in papers [19,20], [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Analysis of dynamics of a scaled PRT (personal rapid transit) vehicle

Kozłowski¹

2019

J. vibroeng.

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This publication provides a discussion concerning research aimed to analyse running properties of PRT vehicles. A PRT vehicle is guideway vehicle equipped with rubber-tyred wheels, running on a flat subgrade guideway of special design. The guideway cross-section is similar to that of a C-shaped beam with two outer limiting edges. This specific design characteristic of the running system of PRT vehicles distinguishes them from typical rail vehicles, where the latter can move along the track by the action of a unit referred to as the centring mechanism, operating at the contact of profiled wheels with the running rail head. In a PRT vehicle, the typical railway centring mechanism has been removed and substituted with a system of outer and inner rollers, forming what is referred to as a passive switch system, responsible for carrying the vehicle along the guideway and within the boundaries delimited by its edges by the action of the rollers' contact forces. Compared to railway infrastructure, this system is characterised by different dynamic properties, and it has not been sufficiently researched yet. The goal of this article is to analyse motion stability of a PRT vehicle with a passive switch system and having the following structural features: wheel sets with beams turning against the vehicle body and independently revolving wheels, non-turning rubber-tyred and non-profiled wheels rolling on a flat surface, and a set of outer and inner rollers performing the passive switch system's functions. The paper describes a PRT vehicle simulation model. It has been assumed that the model's design and parameters describe a scaled vehicle/guideway system whose physical model is actually set at a laboratory testing station on premises of the Warsaw University of Technology. The article provides results of simulation studies of motion stability pertaining to the following characteristics: radial positioning, yawing, sticking to the guideway edge, self-excited vibrations of wheel sets as well as free vibrations. It also discusses results of an analysis of sensitivity of the model's parameters against selected control parameters (model's design parameters) and assessment indicators which describe the intensity of the yaw type torsional vibrations of wheel sets. The article closes with a discussion on the potential to use the results of the tests conducted under the study on the scaled vehicles in question for purposes of vehicles of real-life dimensions.

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Section: Introductionmentioning

confidence: 99%

Analysis of dynamics of a scaled PRT (personal rapid transit) vehicle

Kozłowski¹

2019

J. vibroeng.

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“…The use of autonomous vehicles also eliminates the need for human drivers, which reduces the risk of accidents caused by driver error. Route service management 9,10 for industrial transport system involves the planning, coordination, and optimization of the transportation routes for goods, materials, and products within an industrial setting 11 . This process involves determining the most efficient and effective routes for the transport of goods, taking into consideration factors such as the location of the pickup and delivery points, the size and weight of the items being transported, the type of vehicle being used, and the availability of the transport resources 12–14 .…”

Section: Introductionmentioning

confidence: 99%

Cluster‐based context‐aware route service management for smart intelligent autonomous vehicles with industrial transport system

Nagappan,

Maheswari,

Siva

et al. 2023

Int J Communication

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SummaryIndustrial transport system refers to the movement of goods, raw materials, and finished products within and between industrial facilities such as factories, warehouses, and distribution centers. It includes a variety of modes of transport such as trucks, forklifts, conveyor belts, and automated guided vehicles (AGVs). Context‐aware route service management refers to system that can dynamically manage and optimize the routes taken by vehicles in transportation system based on contextual information. Our proposed framework for industrial transport systems and smart intelligent autonomous vehicles utilizes cluster‐based context‐aware routing (CCAR), which includes several significant contributions. Firstly, modified elephant herding optimization (MEHO) algorithm is used to efficiently group autonomous vehicles for routing. Secondly, an improved gravitational search (IGS) algorithm is used for cluster head (CH) selection responsible for transferring context information between vehicles (V2V). Thirdly, a deep hybrid multi‐graph neural network (DHMG‐NN) is designed for optimal neighboring roadside unit (RSU) node selection through different design constraints to ensure data dissemination between vehicles and infrastructure (V2I). Finally, we validate the effectiveness of our CCAR framework using various simulation scenarios. Our framework achieves a reduction of up to 78% in computation time and an improvement of up to 25% in customer satisfaction ratio and 15% higher than the overall performance ratio compared to the existing frameworks.

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“…Personal rapid transit (PRT) is an unmanned intelligent transportation system controlled by computer and with proprietary track. It can directly transport passengers from the starting point to the destination according to people's needs 24 hours a day [3]. PRT system integrates many advantages of private cars, taxis, buses and rail transit system, and can realize privacy, good accessibility, non-stop travel, etc.…”

Section: Introductionmentioning

confidence: 99%

“…It is suggested that the impact of local geology, hydrology and the implementation of PRT system on the surrounding areas should be considered in the future planning and implementation [10]. Zhao et al (2018) proposed a nonlinear programming model method to improve the operation performance of PRT system by optimizing the line direction of PRT network [3]. Zheng et al (2015) introduced Steiner point and developed a solution algorithm based on Lagrange relaxation to seek PRT to minimize guideway construction cost and shortest user travel time [11].…”

Section: Introductionmentioning

confidence: 99%

Network planning of personal rapid transit in Fuzhou University Town

Gao

2022

Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022)

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Optimizing the Link Directions of Personal Rapid Transit Network

Cited by 8 publications

References 14 publications

Analysis of dynamics of a scaled PRT (personal rapid transit) vehicle

Analysis of dynamics of a scaled PRT (personal rapid transit) vehicle

Cluster‐based context‐aware route service management for smart intelligent autonomous vehicles with industrial transport system

Network planning of personal rapid transit in Fuzhou University Town

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