Gather and Analyze Data-Placement of Traffic Lights or Flashing Lights at an Intersection

Gather and Analyze Data-Placement of Traffic Lights or Flashing Lights at an Intersection

The selected problem within the community is whether a traffic light or flashing light should be placed at an intersection that has experienced at least five horrible accidents every year. Traffic lights are an essential part of our daily lives, as they direct the flow of traffic. Vehicle accidents, particularly those at intersections, are less likely to occur when there are traffic lights (Bach et al., 2018). It ensures the safe and smooth movement of traffic on highways and roads. Furthermore, traffic lights guarantee the safety of pedestrians crossing the street. It makes it so pedestrians can use the road without fear of being run over. Those motorists who obey traffic signals likely save millions of lives every year (Bach et al., 2018). Signals allow for the greatest amount of management at busy intersections. They pass on both advice and warnings. When the light changes colors, pedestrians and motorists know it’s time to halt and start moving again. If there is a power outage and the traffic signals are not functioning, drivers must wait until they see that all oncoming cars, bikes, and pedestrians have stopped before proceeding through the intersection.

Participation in better road practices may increase if more people know what, how, and why it is essential to road safety. Consistently, accidents may be reduced if more people know about the traffic lights and the need to follow it always while on the road. Most people are used to the traffic lights and often adhere to them. However, there is still a need to reinforce and restate the need to adhere to them. In preparation for an upcoming Town Hall meeting in my area, I conducted a survey of 10 locals from a variety of demographics, asking each respondent 10 questions about the frequency with which they adhere to traffic lights. This was done to learn more about current practices and whether traffic lights are the most suitable for the intersection at my community.

The responses to the questions posed were summarized using pie charts. The pie charts were selected because of several reasons. In other words, they are straightforward and simple to grasp. They are a visual representation of facts as a proportion of a whole and can be used to convey complex ideas to an audience with little background knowledge. They help viewers swiftly compare and contrast data for in-the-moment analysis and comprehension. This graph spares viewers the trouble of examining or calculating the underlying data on their own. Lastly, a person can rearrange the data in the pie chart to highlight specific points they wish to make.

Besides the pie charts, the mean, median, and mode were calculated for each question. The mean is determined by dividing the total number of affirmative responses by the frequency with which those responses occurred. The median is found by adding one to the number of individuals who responded positively and then dividing the figure by two. Finally, the mode represents the largest group’s frequency of occurrence for a given variable. The following are the questions that were posed and their respective response frequency. The key for the responses is as follows:

0 – never

1 – sometimes

2 – frequently

3 – always

1. Do you always consider traffic lights important?

2. How often do you not adhere to traffic lights?

3. Do you usually run a red light when in a hurry?

4. How often do your family members adhere to traffic lights?

5. How many times do you see people not adhering to traffic lights?

6. Is something usually done when one does not adhere to the traffic lights?

7. How often do you encourage others to adhere to traffic lights?

8. How often are you encouraged by others to adhere to traffic lights?

9. Do you get regular programs to promote traffic lights usage?

10. Do you feel traffic lights are working as a traffic control measure?

Conclusion

Based on the survey responses and analysis above, it is evident that individuals are knowledgeable about traffic lights, and a majority of them consider traffic lights important. The findings reveal that individuals, in most cases, adhere to traffic lights, and most of the respondents have not witnessed other people not adhering to traffic lights. However, majority of the respondents feel that enough is not done to ensure that individuals adhere to traffic lights, and in most cases, nothing is done about the offenders. There are also not enough programs to promote traffic use awareness. Nevertheless, most respondents believe that traffic lights have effectively controlled traffic. Therefore, I suggest that the intersection be fitted with a traffic light, not a flashing light.

References

Bach, M., Stumper, D., & Dietmayer, K. (2018, November 1). Deep Convolutional Traffic Light Recognition for Automated Driving. IEEE Xplore. https://doi.org/10.1109/ITSC.2018.8569522

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Gather and Analyze Data-Placement of Traffic Lights or Flashing Lights at an Intersection

The survey is about an intersection by an elementary school that has at least 5 to 6 horrible accidents a year between (log trucks and cars) and several deaths if a traffic light or a flashing light should be placed at the intersection.
You have been charged with creating a survey for your community! The community wants you to create a survey and present the results at the town meeting.
In the project, students will:
1. Learn to analyze data for measure of central tendency ( mean, median, and mode)
2. Learn to create a compelling presentation with real-world conclusions.
To complete this project, you will:
Think of a problem within your community or workplace. The problem needs to be something others will be interested in solving or want to share.
The survey is about an intersection in my community by an elementary school with at least 5 to 6 horrible accidents a year between (log trucks and cars) and several deaths if a traffic light or a flashing light should be placed at the intersection.
Create a 10-question survey with quantitative variables (number) on a topic you are interested in. Think of questions where 0 is dislike; there is a scale to 4- like. Another way to do this is using 0- never, 1 sometimes, 2 frequently, and 3 always.
2. Administer the survey to a minimum of 10 people.
3. Analyze your data for each question’s mean, median, and mode.
4. Create a visual from this chapter using:
Bar graph, box and whisker plot, histogram, stem and leaf plot.
5. Compile the information into a slide presentation of at least 5 slides to present at the next town hall. The presentation should present the mean, median, and mode of each question, the visual of the data, and conclusions based on the statistics you found in the survey.