scholarly journals StopWatcher: A Mobile Application to Improve Stop Sign Awareness for Driving Safety

2012 ◽  
Vol 2012 ◽  
pp. 1-8 ◽  
Author(s):  
Carl Tucker ◽  
Rachel Tucker ◽  
Jun Zheng
Keyword(s):  
Traffic Control ◽  
Mobile Application ◽  
The United States ◽  
Driving Safety ◽  
Test Results ◽  
Notification System ◽  
Traffic Lights ◽  
The Road ◽  
Stop Sign ◽  
Primary Form

Stop signs are the primary form of traffic control in the United States. However, they have a tendency to be much less effective than other forms of traffic control like traffic lights. This is due to their smaller size, lack of lighting, and the fact that they may become visually obscured from the road. In this paper, we offer a solution to this problem in the form of a mobile application implemented in the Android platform: StopWatcher. It is designed to alert a driver when they are approaching a stop sign using a voice notification system (VNS). A field test was performed in a snowy environment. The test results demonstrate that the application can detect all of the stop signs correctly, even when some of them were obstructed by the snow, which in turn greatly improves the user awareness of stop signs.

scholarly journals Metaheuristic Techniques in Optimizing Traffic Control Lights: A Systematic Review

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Systematic Review ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Traffic Monitoring ◽  
Optimization Techniques ◽  
Traffic Light ◽  
Traffic Lights ◽  
The Road ◽  
Traffic Signal Timing ◽  
Metaheuristic Techniques

Traffic congestion is a serious problem on every roadway and streets in many cities around the world. This systematic review is devoted to analyze research papers that deal with the optimization of traffic signal timing. The main objective of such optimization is maximizing the number of the vehicles leaving the network in a given period of time. This will lead to enhancing the performance of the road system. In this work, we researched the most recent metaheuristic optimized traffic light control techniques. It was shown that integrating optimization techniques in the field of traffic lights control had a great impact on the performance of traffic monitoring. During our research, we found that the most used method was the Genetic Algorithm (GA).

scholarly journals Effects of Driver Age and Dimensions of the Stop Sign on Braking Distance Performance at Stop-Controlled Intersections

2010 ◽  
Author(s):  
Sunanda Dissanayake
Keyword(s):  
Traffic Control ◽  
Age Groups ◽  
The United States ◽  
Older Drivers ◽  
Statistical Testing ◽  
Residential Areas ◽  
Stop Sign ◽  
Braking Distance ◽  
Control Devices ◽  
Traffic Control Devices

Guidelines for the use of traffic control devices at stop-controlled intersections in the United States are provided in the Manual on Uniform Traffic Control Devices (MUTCD). Based on that, different dimensions of stop signs could be employed, even within the same jurisdiction. The study summarized in this paper investigated the effects of driver age and dimensions of stop signs on braking distance performance at stop-controlled intersections, while paying particular attention to older drivers. Data were collected at several stop-controlled intersections in non-residential areas in Hillsborough County, Florida, where three different sizes of stop signs (30", 36", and 48") were in use. Three driver age groups were also considered: older drivers, middle-age drivers, and young drivers. Statistical testing was used to find out whether the braking distances were different among driver age groups and also among different sizes of stop signs. Based on the observational data, it was found that older drivers had significantly longer braking distances for the largest size of the stop sign. Braking distances were also significantly different among the driver groups for the two larger sizes of the stop signs, but not for the smallest. In other words, older drivers see the larger sign and apply the brakes sooner resulting in longer braking distances. As such, the study recommends considering the replacement of smaller sizes of stop signs with the largest size in non-residential areas with a high older-driver population to increase safety at stop-controlled intersections.

Velocity Optimization of Pure Electric Vehicles with Traffic Dynamics and Driving Safety Considerations

2021 ◽  
Vol 2 (1) ◽  
pp. 1-24
Author(s):  
Liuwang Kang ◽  
Ankur Sarker ◽  
Haiying Shen
Keyword(s):  
Energy Consumption ◽  
Electric Vehicles ◽  
Optimization Methods ◽  
Driving Safety ◽  
Traffic Light ◽  
Optimal Velocity ◽  
Traffic Lights ◽  
Optimization System ◽  
The Road ◽  
On The Road

As Electric Vehicles (EVs) become increasingly popular, their battery-related problems (e.g., short driving range and heavy battery weight) must be resolved as soon as possible. Velocity optimization of EVs to minimize energy consumption in driving is an effective alternative to handle these problems. However, previous velocity optimization methods assume that vehicles will pass through traffic lights immediately at green traffic signals. Actually, a vehicle may still experience a delay to pass a green traffic light due to a vehicle waiting queue in front of the traffic light. Also, as velocity optimization is for individual vehicles, previous methods cannot avoid rear-end collisions. That is, a vehicle following its optimal velocity profile may experience rear-end collisions with its frontal vehicle on the road. In this article, for the first time, we propose a velocity optimization system that enables EVs to immediately pass green traffic lights without delay and to avoid rear-end collisions to ensure driving safety when EVs follow optimal velocity profiles on the road. We collected real driving data on road sections of US-25 highway (with two driving lanes in each direction and relatively low traffic volume) to conduct extensive trace-driven simulation studies. Results show that our velocity optimization system reduces energy consumption by up to 17.5% compared with real driving patterns without increasing trip time. Also, it helps EVs to avoid possible collisions compared with existing collision avoidance methods.

scholarly journals Population-scale Longitudinal Mapping of COVID-19 Symptoms, Behavior, and Testing Identifies Contributors to Continued Disease Spread in the United States

2020 ◽  
Author(s):  
William E. Allen ◽  
Han Altae-Tran ◽  
James Briggs ◽  
Xin Jin ◽  
Glen McGee ◽  
...  
Keyword(s):  
United States ◽  
Mobile Application ◽  
Temporal Dynamics ◽  
The United States ◽  
Disease Spread ◽  
Test Results ◽  
Related Data ◽  
Community Exposure ◽  
Reported Data ◽  
Survey Responses

Summary ParagraphDespite social distancing and shelter-in-place policies, COVID-19 continues to spread in the United States. A lack of timely information about factors influencing COVID-19 spread and testing has hampered agile responses to the pandemic. We developed How We Feel, an extensible web and mobile application that aggregates self-reported survey responses, to fill gaps in the collection of COVID-19-related data. How We Feel collects longitudinal and geographically localized information on users’ health, behavior, and demographics. Here we report results from over 500,000 users in the United States from April 2, 2020 to May 12, 2020. We show that self-reported surveys can be used to build predictive models of COVID-19 test results, which may aid in identification of likely COVID-19 positive individuals. We find evidence among our users for asymptomatic or presymptomatic presentation, as well as for household and community exposure, occupation, and demographics being strong risk factors for COVID-19. We further reveal factors for which users have been SARS-CoV-2 PCR tested, as well as the temporal dynamics of self-reported symptoms and self-isolation behavior in positive and negative users. These results highlight the utility of collecting a diverse set of symptomatic, demographic, and behavioral self-reported data to fight the COVID-19 pandemic.

scholarly journals Development Of Automatic Traffic Light Based On Wireless Sensor Networks With Star Topologies

JAICT ◽  
2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Nadia Khotimatul Husna
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Traffic Control ◽  
Wireless Sensor ◽  
Traffic Light ◽  
Light Traffic ◽  
Traffic Lights ◽  
The Road ◽  
The Government ◽  
The Coordinator

Traffic jam at the intersection is caused by many things such as the number of vehicles that exceed the capacity of the highway, road users who do not obey the rules, or lights on a traffic light that is not in accordance with the road conditions. The government has implemented measures to control congestion solutif at a crossroads in Indonesia, especially in big cities by installing the ATCS (Automatic Traffic Control System) that regulate light traffic lights based on real time conditions crossroads. The weakness of this system still needed the operator to settings the traffic light lamp replacement and maintenance costs are expensive. Therefore, we need a system that can regulate light traffic lights adaptively based on the length of the queue of vehicles. In this project, created a system that is able to set the lights on the traffic light by the long queues of vehicles adaptively based wireless sensor networks. Data from XBee sent with a frequency of 2, 4 Ghz towards the coordinator node, the coordinator node data is then processed by a microcontroller arduino mega to compare the length of the queue between the road and determine the traffic light lights adaptively. The test results show a sensor capable of detecting the vehicle up to a distance of 175 cm, the system can detect the length of the queue as far as 56 meters, and can be changed adaptively in a ccordance long queues of vehicle.

A Smart Emergency Notification System for Road Accident, Fire, and Injury Cases

2020 ◽  
Vol 64 (3) ◽  
pp. 30506-1-30506-10
Author(s):  
Emre Rifat Yıldız ◽  
Yıltan Bitirim
Keyword(s):  
Mobile Application ◽  
Web Application ◽  
Input Image ◽  
Road Accident ◽  
Test Results ◽  
Emergency Case ◽  
Notification System ◽  
Emergency Responders ◽  
Internet Users ◽  
Positive Effect

Abstract In this article, a system Smart Emergency Notification System (SENS) is proposed for both emergency responders and the community. SENS detects single/multiple emergency case(s) (i.e. road accident, fire, and injury) automatically from images sent by a smartphone via the Internet by the proposed promising approach; afterward, it notifies the police, fire brigade, and/or ambulance. The SENS has three modules: the mobile application SENSdroid, the Web application WebSENS, and the software agent NotiSENS, which uses the proposed approach. This approach is as follows. First, a dataset that contains accident, fire, and injury images was constructed; their labels were obtained for training; the trained results, Google Cloud Vision API, and cosine similarity measurement were used to detect the emergency case(s) for an input image. Based on the test results, the approach has 84% sensitivity, 92% specificity, and 88% accuracy. It is possible to say that SENS would have a positive effect on helping the harmed person, supporting the staff on duty, protecting the person who can be harmed, and/or saving Nature. Additionally, this system would have high usability because of its easy-to-use features and high rates of smartphone and Internet users. It is believed that SENS could be an efficient and useful system.

Intelligent Optimization Consider Hour Traffic Flow Traffic Lights Working Condition

2013 ◽  
Vol 655-657 ◽  
pp. 1410-1414
Author(s):  
Ran Wang ◽  
Jian Bo Xiao ◽  
Hao Zhang ◽  
Yu Ying Tan ◽  
Ming An Ni ◽  
...  
Keyword(s):  
Traffic Flow ◽  
Traffic Control ◽  
Working Condition ◽  
Access Time ◽  
Intelligent Optimization ◽  
Traffic Lights ◽  
The Road ◽  
Control Devices ◽  
Signal Response ◽  
On The Road

We design an intelligent optimization system about the response of a traffic signal response, based on a research on traffic at various periods of Wuhan. Fedded traffic flow on the road monitored back to the SCM control system. On the basis of the existing traffic control devices, produce a new intelligent traffic lights according to the traffic flow to change the access time. And optimize the design through modeling and calculation. After simulation, the system significantly reduces the waiting time of the automobile, relieves the burden of traffic at its peak, and eases the pressure on energy and the environment.

Gridlock

2021 ◽  
pp. 31-36
Author(s):  
Rob Kitchin
Keyword(s):  
Control System ◽  
Traffic Flow ◽  
Traffic Control ◽  
Entire System ◽  
Traffic Lights ◽  
The Road ◽  
Competing Demands ◽  
Data Points ◽  
Traffic Control System ◽  
Derived Data

This chapter charts the data journeys and transformations that take place across the network of cameras, sensors, and software that makes up a traffic control system. It details a story when Travista, the traffic control system, encountered some problem which resulted in the Dutch Prime Minister's car being stuck in traffic. Instantaneously and continuously, Travista gathered and processed thousands of data points from inductive loops embedded in the surface of the road, cameras and radar scanners mounted on poles, and transponders fixed on buses, pinging them in packets across a dedicated intranet to a central server. There, the packets were re-joined and fed into a database, more valuable derived data produced, and raw and transitory data deleted. Travista imported the derived data and used them to calculate how best to optimize traffic flow and balance competing demands by synchronizing the timing of signal cycles and phases of the traffic lights at three levels: a single intersection, a subsystem, and across the entire system, where a subsystem was a group of closely related junctions sited around at least one critical intersection. At the same time, it was possible to converse with Travista; to suggest alternatives and tweak how Travista functioned. However, like every sentient being, Travista occasionally got confused or overwhelmed. The result was several subsystems becoming overloaded with traffic causing system-wide congestion.

scholarly journals RANCANG BANGUN SIMULASI PENGENDALI LAMPU LALU LINTAS PADA PERSIMPANGAN DENGAN LIMA JALUR

Jurnal Teknik ◽  
2017 ◽  
Vol 6 (1) ◽  
Author(s):  
Rahma Farah Ningrum ◽  
Rosidah Rosidah ◽  
Puji Puji
Keyword(s):  
Traffic Control ◽  
Time Delays ◽  
Motor Vehicles ◽  
Traffic Light ◽  
Traffic Condition ◽  
Traffic Lights ◽  
The Road ◽  
Traffic Jams ◽  
Traffic Light Control ◽  
The Right

The imbalance between the rapid increase in the number of motor vehicles in urban cities in Indonesia and the available transportation infrastructure, such as the capacity of the road,  has created more congestions or traffic jams . The congestions that  mostly occur at inter-sections or crossroads can cause several problems in terms of time delays, cost, health and environment issues due to air pollution. The traffic jams can be reduced by imposing the right traffic control.. One of the solutions to optimize the traffic condition at intersections is by controlling the traffic lights. Each traffic light at an intersection needs to have different set of green and red periods based on the current traffic condition. The purpose of this paper is to simulate the traffic condition at an intersection with 5  lines. The simulation can be used to display the results of the traffic light control possibilities on each line.  Keywords : traffic light, traffic control, simulation

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