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Proceedings ArticleDOI

Automatic traffic control system for single lane tunnels

TL;DR: The objective of the proposed traffic control signal logic is to control the traffic density on either side of a single lane tunnel and avoid the vehicle collision inside the singlelane tunnel.
Abstract: Accidents in single lane tunnels can be avoided significantly by using an efficient automatic traffic control system for all possible traffic conditions. Here the objective of the proposed system is to control the traffic density on either side of a single lane tunnel and avoid the vehicle collision inside the single lane tunnel. It is assumed that the entry and exit of the tunnel is only for light and heavy motor vehicles. The proposed traffic control signal logic is a time efficient and human independent system. The system can be implemented in a remote area irrespective of its topography. The proposed control signal logic is implemented in ARM cortex-M0 microcontroller.
Citations
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Journal ArticleDOI
Li Shuguang1
TL;DR: The simulation results at the JiangBeiLing tunnel of Wenzhou city in China show the optimal control system can meet the demand brightness and total average brightness constraints, and have a notable energy-saving effect.

17 citations

Journal ArticleDOI
09 May 2019
TL;DR: A new microcontroller based intelligent traffic control system is proposed, instead of changing traffic lights automatically for a given interval, this system allows passing the vehicles considering the number of vehicles on the roads.
Abstract: A new microcontroller based intelligent traffic control system is proposed in this paper. Instead of changing traffic lights automatically for a given interval, this system allows passing the vehicles considering the number of vehicles on the roads. An Atmega 32 microcontroller and infrared sensors (IR sensors) are used to implement the traffic system. An algorithm is also developed for this purpose. The system is simulated and implemented also by constructing a test rig. The results from the simulation and experimental test rig confirm its appropriateness of using in the roads of different cities. No further processing scheme is required for this intelligent traffic control system.

5 citations


Cites methods from "Automatic traffic control system fo..."

  • ...Various systems uses RFID and GSM module to transmit data and communicate with specific vehicles [3-4]....

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01 Oct 2017

4 citations


Cites background from "Automatic traffic control system fo..."

  • ...Patnaik et al. (2014) proposed a traffic control system to monitor the traffic density in single lane tunnels....

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  • ...Patnaik et al. (2014) proposed an automatic traffic control and monitoring system for single lane tunnels....

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Proceedings ArticleDOI
01 Aug 2017
TL;DR: The density based automatic traffic control system checks for the density of traffic at the traffic signal and changes the traffic lights accordingly and could make the movement of traffic easier and time saving.
Abstract: Traffic Management at signals has been a major problem in India. Unscientific methods, negligence and overpopulation has led to mismanagement of traffic at traffic signals. It needs introduction of new technology and a better approach to improve the traffic condition. A possible solution to this problem is the density based automatic traffic control system. The proposed model checks for the density of traffic at the traffic signal and changes the traffic lights accordingly. A video camera and traffic lights are interfaced with Raspberry Pi board. The video is processed real time and the Raspberry Pi enables the traffic lights to change when required. This could make the movement of traffic easier and time saving. This is an improvement from the conventional timer based operation of traffic lights.

3 citations


Cites methods from "Automatic traffic control system fo..."

  • ...[1], the system is used to detect and manage traffic inside a single lane tunnel and avoid accidents....

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References
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Proceedings ArticleDOI
01 Oct 2000
TL;DR: This paper presents an active vision system for real-time traffic sign recognition that is designed by intensively using built-in-functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition.
Abstract: This paper presents an active vision system for real-time traffic sign recognition. The system is composed of two cameras, one is equipped with a wide-angle lens and the other with a telephoto-lens, and a PC with an image processing board. The system first detects candidates for traffic signs in the wide-angle image using color; intensity, and shape information. For each candidate, the telephoto-camera is directed to its predicted position to capture the candidate in a larger size in the image. The recognition algorithm is designed by intensively using built-in-functions of an off-the-shelf image processing board to realize both easy implementation and fast recognition. The results of on-road real-time experiments show the feasibility of the system.

253 citations

Proceedings ArticleDOI
29 Nov 2010
TL;DR: The aim of this research is to provide an integrated intelligent system for management and controlling traffic lights based on distributed long range Photoelectric Sensors in distances prior to and after the traffic lights that will guarantee the fluency of traffic for such emergency cases or for the main vital streets and paths that require the fluent traffic all the time.
Abstract: The aim of this research is to provide a design of an integrated intelligent system for management and controlling traffic lights based on distributed long range Photoelectric Sensors in distances prior to and after the traffic lights The appropriate distances for sensors are chosen by the traffic management department so that they can monitor cars that are moving towards a specific traffic and then transfer this data to the intelligent software that are installed in the traffic control cabinet, which can control the traffic lights according to the measures that the sensors have read, and applying a proposed algorithm based on the total calculated relative weight of each road Accordingly, the system will open the traffic that are overcrowded and give it a longer time larger than the given time for other traffics that their measures proved that their traffic density is less This system can be programmed with very important criteria that enable it to take decisions for intelligent automatic control of traffic lights Also the proposed system is designed to accept information about any emergency case through an active RFID based technology Emergency cases such as the passing of presidents, ministries and ambulances vehicles that require immediate opening for the traffic automatically The system has the ability to open a complete path for such emergency cases from the next traffic until reaching the target destination (end of the path) As a result the system will guarantee the fluency of traffic for such emergency cases or for the main vital streets and paths that require the fluent traffic all the time, without affecting the fluency of traffic generally at normal streets according to the time of the day and the traffic density Also the proposed system can be tuned to run automatically without any human intervention or can be tuned to allow human intervention at certain circumstances

76 citations

Proceedings ArticleDOI
16 Dec 2009
TL;DR: The proposed Intelligent Traffic Light Controller is more efficient than the conventional controller in respect of less waiting time, more distance traveled by average vehicles and efficient operation during emergency mode and GSM interface and scope for further expansion.
Abstract: Present Traffic Light Controllers (TLC) are based on microcontroller and microprocessor. These TLC have limitations because it uses the pre-defined hardware, which is functioning according to the program that does not have the flexibility of modification on real time basis. Due to the fixed time intervals of green, orange and red signals the waiting time is more and car uses more fuel. To make traffic light controlling more efficient, we exploit the emergence of new technique called as "Intelligent traffic light controller". This makes the use of Sensor Networks along with Embedded Technology. The timings of Red, Green lights at each crossing of road will be intelligently decided based on the total traffic on all adjacent roads. Thus, optimization of traffic light switching increases road capacity and traffic flow, and can prevent traffic congestions. GSM cell phone interface is also provided for users those who wish to obtain the latest position of traffic on congested roads. This is a unique feature of this project which is very useful to car drivers to take an alternate route in case of congestion. The various performance evaluation criteria are average waiting time, average distance traveled by vehicles, switching frequency of green light at a junction, efficient emergency mode operation and satisfactory operation of SMS using GSM Mobile. The performance of the Intelligent Traffic Light Controller is compared with the Fixed Mode Traffic Light Controller. It is observed that the proposed Intelligent Traffic Light Controller is more efficient than the conventional controller in respect of less waiting time, more distance traveled by average vehicles and efficient operation during emergency mode and GSM interface. Moreover, the designed system has simple architecture, fast response time, user friendliness and scope for further expansion.

62 citations

Proceedings ArticleDOI
12 Jun 2010
TL;DR: The article puts forward a design of intelligent traffic control system based on traffic flow, and proposes the intersection video image processing and traffic flow detection algorithm, improving the intersection vehicle capacity of passage.
Abstract: The article puts forward a design of intelligent traffic control system based on traffic flow, and proposes the intersection video image processing and traffic flow detection algorithm. Application of DSP technology, design the system hardware, write the corresponding software, and realize the intelligent control of traffic light at the intersection according to traffic flow, improving the intersection vehicle capacity of passage.

29 citations

Proceedings ArticleDOI
30 Dec 2008
TL;DR: The final prototype implements the vehicle detection system as the main functionality, but offers additional features like remote detection area configuration, video delivery, remote software updating, etc.
Abstract: Current Intelligent Transportation Systems tends to be integrated in smart environments where sensors are provided with processing and communication capabilities. This is the case of the vehicle detection system proposed in this paper. The ARM-based video processor not only deals with the video processing algorithms, but also takes advantage of the networking capabilities using an embedded operating system. Consequently, the final prototype implements the vehicle detection system as the main functionality, but offers additional features like remote detection area configuration, video delivery, remote software updating, etc. Results will show all the system capabilities as well as satisfactory vehicle detection rates.

17 citations


"Automatic traffic control system fo..." refers background in this paper

  • ...al [3] which again has the disadvantage of cost effectiveness for the video cameras....

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