scholarly journals INDUSTRIAL CONNECTED VEHICLE, AN OPPORTUNITY TO REDUCE RISKS IN FACTORIES

10.6036/10071 ◽  
2021 ◽  
Vol DYNA-ACELERADO (0) ◽  
pp. [ 4 pp.]-[ 4 pp.]
Author(s):  
XABIEL PAÑEDA ◽  
ROBERTO GARCIA FERNANDEZ ◽  
LUCIA MENENDEZ ◽  
ENRIQUE JAIMEZ ◽  
PROSPERO MORAN ◽  
...  
Keyword(s):  
Key Words ◽  
Risk Reduction ◽  
Low Cost ◽  
Great Power ◽  
Physical Injury ◽  
Connected Vehicle ◽  
Traffic Lights ◽  
Adjacent Structure ◽  
Driving Assistance

Factories of a certain size are full of industrial vehicles that perform different tasks. The characteristics of these vehicles with articulated arms and great power make them probable generators of accidents. These vehicles perform demanding actions in which the driver must pay the utmost attention not to run over a pedestrian or damage an adjacent structure. This need for attention can lead to driver burnout, stress, and even physical injury. This article presents a study carried out on 9 companies in different productive sectors in which the type of industrial vehicles used in them, the type of task they carry out and the risks derived from their use have been analyzed. To reduce this type of risk, it is proposed to use an IoT system under the connected vehicle paradigm, to alert drivers and pedestrians. The system should be configurable and integrated with other devices such as cameras or traffic lights. To complement the study, a minimum implementation of the system on a SCB computer has been evaluated to demonstrate that its implementation can be done at a very low cost. Key Words: industrial vehicle, connected vehicle, IoT, driving assistance, risk reduction

scholarly journals Real-Time Safety Optimization of Connected Vehicle Trajectories Using Reinforcement Learning

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3864
Author(s):  
Tarek Ghoul ◽  
Tarek Sayed
Keyword(s):  
Reinforcement Learning ◽  
Real Time ◽  
Low Cost ◽  
Safety Evaluation ◽  
Traffic Volume ◽  
Connected Vehicles ◽  
Connected Vehicle ◽  
Real World Data ◽  
Physical Constraints ◽  
Traffic Conflicts

Speed advisories are used on highways to inform vehicles of upcoming changes in traffic conditions and apply a variable speed limit to reduce traffic conflicts and delays. This study applies a similar concept to intersections with respect to connected vehicles to provide dynamic speed advisories in real-time that guide vehicles towards an optimum speed. Real-time safety evaluation models for signalized intersections that depend on dynamic traffic parameters such as traffic volume and shock wave characteristics were used for this purpose. The proposed algorithm incorporates a rule-based approach alongside a Deep Deterministic Policy Gradient reinforcement learning technique (DDPG) to assign ideal speeds for connected vehicles at intersections and improve safety. The system was tested on two intersections using real-world data and yielded an average reduction in traffic conflicts ranging from 9% to 23%. Further analysis was performed to show that the algorithm yields tangible results even at lower market penetration rates (MPR). The algorithm was tested on the same intersection with different traffic volume conditions as well as on another intersection with different physical constraints and characteristics. The proposed algorithm provides a low-cost approach that is not computationally intensive and works towards optimizing for safety by reducing rear-end traffic conflicts.

scholarly journals Trajectory Planning Method for Mixed Vehicles Considering Traffic Stability and Fuel Consumption at the Signalized Intersection

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Shan Fang ◽  
Lan Yang ◽  
Tianqi Wang ◽  
Shoucai Jing
Keyword(s):  
Fuel Consumption ◽  
Trajectory Planning ◽  
Signalized Intersections ◽  
Planning Method ◽  
Signalized Intersection ◽  
Driver Model ◽  
Connected Vehicles ◽  
Connected Vehicle ◽  
Traffic Lights ◽  
Trigonometric Model

Traffic lights force vehicles to stop frequently at signalized intersections, which leads to excessive fuel consumption, higher emissions, and travel delays. To address these issues, this study develops a trajectory planning method for mixed vehicles at signalized intersections. First, we use the intelligent driver car-following model to analyze the string stability of traffic flow upstream of the intersection. Second, we propose a mixed-vehicle trajectory planning method based on a trigonometric model that considers prefixed traffic signals. The proposed method employs the proportional-integral-derivative (PID) model controller to simulate the trajectory when connected vehicles (equipped with internet access) follow the optimal advisory speed. Essentially, only connected vehicle trajectories need to be controlled because normal vehicles simply follow the connected vehicles according to the Intelligent Driver Model (IDM). The IDM model aims to minimize traffic oscillation and ensure that all vehicles pass the signalized intersection without stopping. The results of a MATLAB simulation indicate that the proposed method can reduce fuel consumption and NOx, HC, CO2, and CO concentrations by 17%, 22.8%, 17.8%, 17%, and 16.9% respectively when the connected vehicle market penetration is 50 percent.

CASA: An Alternative Smartphone-Based ADAS

2021 ◽  
pp. 1-41
Author(s):  
Manolo Dulva Hina ◽  
Hongyu Guan ◽  
Assia Soukane ◽  
Amar Ramdane-Cherif
Keyword(s):  
Low Cost ◽  
Electronic System ◽  
Time Data ◽  
Case Scenario ◽  
Safe Driving ◽  
The Road ◽  
Driving Assistance ◽  
Alternative Means ◽  
On The Road ◽  
Driving Assistance System

Advanced driving assistance system (ADAS) is an electronic system that helps the driver navigate roads safely. A typical ADAS, however, is suited to specific brands of vehicle and, due to proprietary restrictions, has non-extendable features. Project CASA is an alternative, low-cost generic ADAS. It is an app deployable on smartphone or tablet. The real-time data needed by the app to make sense of its environment are stored in the vehicle or on the cloud, and are accessible as web services. They are used to determine the current driving context, and, if needed, decide actions to prevent an accident or keep road navigation safe. Project CASA is an undertaking of a consortium of industrial and academic partners. A use case scenario is tested in the laboratory (virtual) and on the road (actual) to validate the appropriateness of CASA. It is a contribution to safe driving. CASA’s contribution also lies in its approach in the semantic modeling of the context of the environment, the vehicle and the driver, and on the modeling of rules for fusion of data and fission process yielding an action to be implemented. In addition, CASA proposes a secured means of transmitting data using light, via light fidelity (LiFi), itself an alternative means of wireless vehicle–smartphone communication.

Establishing derailment profiles by position for corridor shipments of dangerous goods

1991 ◽  
Vol 18 (1) ◽  
pp. 67-75 ◽  
Author(s):  
F. F. Saccomanno ◽  
S. M. El-Hage
Keyword(s):  
Key Words ◽  
Low Cost ◽  
Operating Costs ◽  
Dangerous Goods

The position of railcars carrying dangerous goods in a train can affect their involvement in a derailment. A model is presented, which minimizes the number of cars carrying dangerous goods derailing for different marshalling strategies and rail corridor conditions. An application of the model to the Sarnia–Toronto rail corridor is presented. The results of this analysis suggest that marshalling strategies for cars carrying dangerous goods need to be sensitive to corridor conditions that affect the causes of train derailments. Current Canadian Transport Commission directives governing the placement of cars carrying dangerous goods along a train were found to be ineffective in reducing their derailment probability when compared to a low-cost unregulated option. Effective marshalling strategies can substitute for speed controls on the shipment of dangerous goods, resulting in a similar or improved derailment profiles and lower operating costs. Key words: dangerous goods, derailment, rail, marshalling, railcars.

scholarly journals Impact Assessing of Traffic Lights via GPS Vehicle Trajectories

2021 ◽  
Vol 10 (11) ◽  
pp. 769
Author(s):  
Zhuhua Liao ◽  
Hao Xiao ◽  
Silin Liu ◽  
Yizhi Liu ◽  
Aiping Yi
Keyword(s):  
Urban Areas ◽  
Low Cost ◽  
Traffic Data ◽  
Traffic Lights ◽  
Vehicle Trajectories ◽  
Gps Trajectories ◽  
Standard Classification ◽  
Auc Value ◽  
Travel Efficiency ◽  
The Impact

The adaptability of traffic lights in the control of vehicle traffic heavily affects the trafficability of vehicles and the travel efficiency of traffic participants in busy urban areas. Existing studies mainly have focused on the presence of traffic lights, but rarely evaluate the impact of traffic lights by analyzing traffic data, thus there is no solution for practicably and precisely self-regulating traffic lights. To address these issues, we propose a low-cost and fast traffic signal detection and impact assessment framework, which detects traffic lights from GPS trajectories and intersection features in a supervised way, and analyzes the impact range and time of traffic lights from intersection track data segments. The experimental results show that our approach gains the best AUC value of 0.95 under the ROC standard classification and indicates that the impact pattern of traffic lights at intersections is high related to the travel rule of traffic participants.

scholarly journals Should preoperative showering or cleansing with chlorhexidine gluconate (CHG) be part of the surgical care bundle to prevent surgical site infection?

2017 ◽  
Vol 18 (6) ◽  
pp. 311-314 ◽  
Author(s):  
Charles E Edmiston ◽  
David Leaper
Keyword(s):  
Surgical Site Infection ◽  
Risk Reduction ◽  
Low Cost ◽  
Surgical Care ◽  
Infection Risk ◽  
Chlorhexidine Gluconate ◽  
Low Risk ◽  
Care Bundle ◽  
Site Infection ◽  
Methodological Issues

Showering preoperatively with chlorhexidine gluconate is an issue that continues to promote debate; however, many studies demonstrate evidence of surgical site infection risk reduction. Methodological issues have been present in many of the studies used to compile guidelines and there has been a lack of standardisation of processes for application of the active agents in papers pre-2009. This review and commentary paper highlights the potential for enhancing compliance with this low-risk and low-cost intervention and provides some guidance for enhancing implementation of preoperative showering with both chlorhexidine in solution and impregnated wipes.

scholarly journals Performance Analysis of V2V and V2I LiFi Communication Systems in Traffic Lights

2019 ◽  
Vol 2019 ◽  
pp. 1-12 ◽  
Author(s):  
Gerardo Hernandez-Oregon ◽  
Mario E. Rivero-Angeles ◽  
Juan C. Chimal-Eguía ◽  
Arturo Campos-Fentanes ◽  
Jorge G. Jimenez-Gallardo ◽  
...  
Keyword(s):  
Mobile Communications ◽  
Communication Systems ◽  
Vehicular Networks ◽  
Low Cost ◽  
Red Light ◽  
Green Light ◽  
Mathematical Expression ◽  
Traffic Light ◽  
Safe Driving ◽  
Traffic Lights

Vehicular networks is a key technology for efficiently communicating both user’s devices and cars for timely information regarding safe driving conditions and entertaining applications like social media, video streaming, and gaming services, among others. In view of this, mobile communications making use of cellular resources may not be an efficient and cost-effective alternative. In this context, the implementation of light-fidelity (LiFi) in vehicular communications could be a low-cost, high-data-rate, and efficient-bandwidth usage solution. In this work, we propose a mathematical analysis to study the average throughput in a road intersection equipped with a traffic light that operates as a server, which is assumed to have LiFi communication links with the front lights of the vehicles waiting for the green light. We further assume that the front vehicle (the car next to the traffic light) is able to communicate to the car immediately behind it by using its own tail lights and the front lights of such vehicle, and so on and so forth. The behavior of the road junction is modeled by a Markov chain, applying the Queueing theory with an M/M/1 system in order to obtain the average queue length. Then, Little’s theorem is applied to calculate the average waiting delay when the red light is present in the traffic light. Finally, the mathematical expression of the data throughput is derived.

scholarly journals KAJIAN MITIGASI BENCANA TANAH LONGSOR DI KABUPATEN BANJARNEGARA

GEMA PUBLICA ◽  
2015 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Amni Zarkasyi Rahman
Keyword(s):  
Public Education ◽  
Key Words ◽  
Disaster Management ◽  
Early Warning ◽  
Disaster Response ◽  
Early Warning System ◽  
Low Cost ◽  
Warning System ◽  
Hazard Maps ◽  
Evacuation Route

All disasters experienced by Indonesia in the last years has developed anawareness of the fragility and vulnerability. At this time, the disastermanagement is currently insufficient anymore. The disaster management gain anew dimension with UU 24/ 2007 and followed some related regulations.Mitigation program implemented by BPBD Banjarnegara includes Structuraland Non Structural Mitigation has been completed well. For example, disasterdatabase, installation of Early Warning System (EWS), information andsocialization, training and disaster simulation.In the future, mitigation will be focused on public education. Thegovernment should implement the hazard maps, environmental improvement,evacuation route, installation of low-cost EWS at all location, and relocation. inadditon, whole villages must become village disaster response (desa tanggapbencana).Key words : landslides; structural mitigation; non structural mitigation.

scholarly journals Low-cost, risk-reduction testing of class D spacecraft photovoltaic systems

2014 ◽  
Author(s):  
Joshua B Forgione ◽  
Gilbert Kojima ◽  
Robert Hanel ◽  
Mark Mallinson
Keyword(s):  
Risk Reduction ◽  
Low Cost ◽  
Photovoltaic Systems ◽  
Class D ◽  
Cost Risk
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