Improving the efficiency of weigh in motion systems through optimized allocating truck checking oriented procedure

Mahmoudabadi, Abbas; Seyedhosseini, Seyed Mohammad

doi:10.1016/j.iatssr.2012.08.002

Cited by 13 publications

(8 citation statements)

References 17 publications

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“…A portable cost-effective WIM system is introduced for periodic collection of vehicle load data and traffic volume in USA [5]. The best optimized location for installing WIM systems is suggested in [6].…”

Section: Fig 1 -Accidents Due To Overloaded Vehiclementioning

confidence: 99%

A Web-Interface based Smart Tracking of Overloaded Vehicle

Raj*,

Let G,

Sajini M L

et al. 2019

IJITEE

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Due to the development of road infrastructure and business trade, transportation of goods is increasing day-by-day. Each vehicle has its own configuration, size, power and capacity. However, heavy vehicles are often used to carry loads beyond their capacity. Therefore overloading is one of the major problems which affect truckers as well as other motorists and pedestrians going near-by. In order to provide a convenient solution to this problem, a web-based tracking system is proposed. A heavy duty vehicle which is overloaded and moving at high speed may cause the vehicle to loose balance while making turns along the roads. This problem may also cause the tire to burst, which in turn makes it difficult to control the vehicle. Communication module is interfaced with a microcontroller which takes data from global positioning system receiver to locate the current position of the overloaded vehicle. This unit is majorly controlled by an electronic control unit. A sensing element is placed at the axle point of the vehicle to concentrate on the total weight of the vehicle. A software study is done to extract the global positioning system data from GPRMC format. The proposed system is simulated and tested for semi-real data. The received data is transmitted to the control room user for further improvement in traffic regulation and road safety.

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Section: Fig 1 -Accidents Due To Overloaded Vehiclementioning

confidence: 99%

A Web-Interface based Smart Tracking of Overloaded Vehicle

Raj*,

Let G,

Sajini M L

et al. 2019

IJITEE

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“…3. It consists of fifty nine nodes and eighty two-way edges used without considering the affected area in another research work [38]. Some of the nodes are borders, which connect the research area to the neighboring provinces.…”

Section: Case Study and Experimental Datamentioning

confidence: 99%

Developing a chaotic pattern of dynamic Hazmat routing problem

Mahmoudabadi¹,

Seyedhosseini²

2014

IATSS Research

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The present paper proposes an iterative procedure based on chaos theory on dynamic risk definition to determine the best route for transporting hazardous materials (Hazmat). In the case of possible natural disasters, the safety of roads may be seriously affected. So the main objective of this paper is to simultaneously improve the travel time and risk to satisfy the local and national authorities in the transportation network. Based on the proposed procedure, four important risk components including accident information, population, environment, and infrastructure aspects have been presented under linguistic variables. Furthermore, the extent analysis method was utilized to convert them to crisp values. To apply the proposed procedure, a road network that consists of fifty nine nodes and eighty two-way edges with a pre-specified affected area has been considered. The results indicate that applying the dynamic risk is more appropriate than having a constant risk. The application of the proposed model indicates that, while chaotic variables depend on the initial conditions, the most frequent path will remain independent. The points that would help authorities to come to the better decision when they are dealing with Hazmat transportation route selection.

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“…Fars, the second largest province in the Asian country of Iran, is selected as case study whose map is available on [27]. It consists of fifty-nine nodes and eighty two-way edges.…”

Section: Case Studymentioning

confidence: 99%

Developing a Chaotic-Simulation Based Model for Ranking High Selected Network Links in Hazardous Material Transportation

Mahmoudabadi

2014

Modelling and Simulation in Engineering

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Hazardous material transportation is one of the main concerns due to the nature of hazardous materials and their incident impacts. In general, transport risk is a main attribute to develop mathematical models for hazardous material routing problem as well as network designing or improving road safety. This paper presents a chaotic-simulation based model to determine the high selected links to improve road network quality for hazardous material transportation, in which risk is considered as a chaotic variable over the network whereas a simulation technique has been applied to cover a wide range of selecting paths. A real road network, consists of fifty-nine nodes and eighty two-way edges, is used for running the mathematical model and checking validation. Due to the large amounts of hazardous material transported by trucks, the proposed methodology is focused on fuel transportation, and high selected list of edges (links) has been obtained to improve road safety. Sensitivity analysis revealed that using different seeds for generating transport risk has no significant effects on finding the most frequent paths and high selected edges.

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Improving the efficiency of weigh in motion systems through optimized allocating truck checking oriented procedure

Cited by 13 publications

References 17 publications

A Web-Interface based Smart Tracking of Overloaded Vehicle

A Web-Interface based Smart Tracking of Overloaded Vehicle

Developing a chaotic pattern of dynamic Hazmat routing problem

Developing a Chaotic-Simulation Based Model for Ranking High Selected Network Links in Hazardous Material Transportation

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