Stoplight Research Articles

1160 Improved Daytime Sleepiness Following Daily Morning Blue Light Therapy Is Associated With Altered Resting-state Network Connectivity

Abstract Introduction Light exposure, particularly blue wavelength light, has consistent positive effects on daytime sleepiness following mild traumatic brain injuries (mTBIs). While self-perceived improvements in daytime sleepiness are well-documented, the neurobiological underpinnings are not well understood. The purpose of this study was to localize changes in functional connectivity after daily morning blue light therapy (BLT) and to associate these changes with improvements in post-mTBI daytime sleepiness. Methods 29 individuals with a history of mTBI were randomized to receive either BLT (n=13) or placebo amber light (ALT; n=16). All participants self-reported daytime sleepiness (Epworth Sleepiness Scale (ESS); lower is better) and underwent resting-state functional magnetic resonance imaging at pre- and post-treatment. Whole-brain functional connectivity (FC) was estimated as the correlations between 400 cortical regions of interest (ROIs) assigned to 7 resting-state networks. A two-sample T-test for post-treatment ROI-to-ROI FC identified target connections (FDR corrected p<0.01). Post-treatment ESS scores and FC for these connections were correlated for treatment-related brain-behavior associations (uncorrected p<0.05). Results Lower FC after BLT in 4 ROI-to-ROI connections linking the default mode and visual networks was associated with lower ESS scores. Higher FC after BLT in 9 ROI-to-ROI connections linking attention, cognitive control, and visual networks was also associated with lower ESS scores. Conclusion BLT resulted in decreased self-reported daytime sleepiness, which was associated with decoupling of the default mode and visual networks as well as increased connectivity between and within attention and cognitive control networks, suggesting potentially improved attention to relevant stimuli and cognitive processes and less internal mentation. These associations may contribute to improved alertness, attention, and cognitive performance following a mTBI. Further work is needed to identify the optimal timing and dosage of BLT to maximize these outcomes. Support This study was funded by an award to Dr. Killgore from the US Army Medical Research and Materiel Command (USAMRMC; award number: W81XWH-14-1-0571).

Development of a stop light tool using the bellarmine norton assessment tool (BNAT) for physical therapy referral.

e19067 Background: Individuals with cancer experience fatigue, pain and decline in function. The Bellarmine Norton Assessment Tool (BNAT) was developed to give an objective measure identifying a person’s overall functional ability through a variety of physical assessments focused on mobility and strength. The purpose of this study was to develop a referral tool to provide health care professionals an easy determinant for physical therapy referrals. The referral tool was designed as a Red, Yellow, Green light for easy interpretation and use. Methods: The BNAT is composed of 1 self-reported physical activity question and 4 objective tests: 2-Minute Step Test (2MST); 30-Second Sit-to-Stand; Timed Arm Curl; and Timed Up and Go. A previously collected data set of BNAT scores was utilized to develop the referral tool with the poorest performance corresponding to Red and the best corresponding to Green. Three variations of normative scaling examined optimal distribution for classification. The first model averaged normative data of 70-74 age group of healthy individuals. No participants in our study achieved 50% of population norms. Therefore, the Green light represented 35% of the normative values, the Yellow light ranged from 15-34% and the Red light identified < 15%. A second model used frequency histograms for each BNAT elements. Groupings were made based on the natural break of the data to depict the Red, Yellow or Green light. A third approach combined normative and frequency distribution for each element as compared to the respective BNAT scores. The outcome assigned BNAT score of 1 and 2 to Red light, 3 to Yellow light and 4 and 5 to Green light. Except for the 2MST, these models were similar for the cutoff between color categories. The third model best fit the study population with respect to the individual’s total BNAT score. Results: Of the 161 subjects, 47 subjects (29%) fell into the Red category, 81 (50%) into Yellow and 33 (21%) into Green. Using this scaling system for the total BNAT score, 13 score combinations result in Red light, 6 scores for Yellow light and 6 scores for Green light. Regardless of the model, most individuals were assigned a Yellow light. Conclusions: The literature is void of functional cut off scores and normative distributive data for the oncology population. We defined a referral tool with scaling based off normative scores and functional assessments that reflect the distribution of oncology patients. The third model may be used as a simple referral tool among multiple health care professionals aiding in a referral for physical therapy.

Streetlights Disrupt Night-Time Sleep in Urban Black Swans

Artificial light at night could have widespread and detrimental impacts on sleep. To reduce disruptive effects of artificial light on sleep in humans, most smartphones and computers now have software that reduces blue light emissions at night. Little is known about whether reducing blue light emissions from city lights could also benefit urban wildlife. We investigated the effects of blue-rich (white) and blue-reduced (amber) LED streetlights on accelerometry-defined rest, electrophysiologically-identified sleep, and plasma melatonin in a diurnal bird, the black swan (Cygnus atratus). Urban swans were exposed to 20 full nights of each lighting type in an outdoor, naturalistic environment. Contrary to our predictions, we found that night-time rest was similar during exposure to amber and white lights but decreased under amber lights compared with dark conditions. By recording brain activity in a subset of swans, we also demonstrated that resting birds were almost always asleep, so amber light also reduced sleep at night. We found no effect of light treatment on total (24 h) daily rest or plasma melatonin. Our study provides the first electrophysiologically-verified evidence for effects of streetlights on sleep in an urban animal, and furthermore suggests that reducing blue wavelengths of light might not mitigate these effects.

The Effect of Blue Light Therapy on Functional Brain Responses to Masked Fearful Stimuli in Post-Traumatic Stress Disorder

Post-Traumatic Stress Disorder (PTSD) is often associated with an increased emotional response to aversive stimuli. Blue Light Therapy (BLT) is effective for improving sleep and mood in a number of psychological disorders but has not yet been evaluated as a treatment for PTSD. We hypothesized that 6 weeks of daily morning BLT, in comparison to Amber (placebo) Light Therapy (ALT), would lead to significant improvements in PTSD severity as well as reduced functional brain responses to subliminal presentation of threat.

Automatic Train Protection (ATP) and Signaling with Accident Avoidance System for Indian Railways

Automatic Train Protection (ATP) and signaling with accident avoidance system for Indian Railways is proposed in this paper which aims to develop p a prototype of a safety system for unmanned level crossing areas and to avoid train accidents due to collisions and obstacles. The system consists of two Arduino Uno boards, two IR Sensors, two traffic lights on both sides of the track, servomotor controlled gate and an ultrasonic sensor to stop the train in case of any obstacle in front of running train .According to the INDIAN RAILWAYS ANNUAL REPORT AND ACCOUNTS 2014-15 [1] the main cause of accidents were carelessness on unmanned level crossings and the number of injured and killed were maximum due to this reason mentioned in [1]. The proposed system has automatic traffic light signaling on both sides of the track which indicates the traffic to stop while the train is moving and the gates on both sides of the track will automatically close to stop the transport and open after train crosses the other end. The proposed system will also provide safety for train collisions. This logic was applied in Embedded C and programmed to the Arduino Uno.

Fuzzy Inference Enabled Deep Reinforcement Learning-Based Traffic Light Control for Intelligent Transportation System

Intelligent Transportation System (ITS) has been emerged an important component and widely adopted for the smart city as it overcomes the limitations of the traditional transportation system. Existing fixed traffic light control systems split the traffic light signal into fixed duration and run in an inefficient way, therefore, it suffers from many weaknesses such as long waiting time, waste of fuel and increase in carbon emission. To tackle these issues and increase efficiency of the traffic light control system, in this work, a Dynamic and Intelligent Traffic Light Control System (DITLCS) is proposed which takes real-time traffic information as the input and dynamically adjusts the traffic light duration. Further, the proposed DITLCS runs in three modes namely Fair Mode (FM), Priority Mode (PM) and Emergency Mode (EM) where all the vehicles are considered with equal priority, vehicles of different categories are given different level of priority and emergency vehicles are given at most priority respectively. Furthermore, a deep reinforcement learning model is also proposed to switch the traffic lights in different phases (Red, Green and Yellow), and fuzzy inference system selects one mode among three modes i.e., FM, PM and EM according to the traffic information. We have evaluated DITLCS via realistic simulation on Gwalior city map of India using an open-source simulator i.e., Simulation of Urban MObility (SUMO). The simulation results prove the efficiency of DITLCS in comparison to other state of the art algorithms on various performance parameters.

A comprehensive study on the effect of light quality imparted by light-emitting diodes (LEDs) on the physiological and biochemical properties of the microalgal consortia of Chlorella variabilis and Scenedesmus obliquus cultivated in dairy wastewater.

The effect of light wavelengths on the physiological, biochemical and lutein content of the microalgal consortia Chlorella variabilis and Scenedesmus obliquus was evaluated using different light sources. Among different light treatments, cool-white fluorescent light produced the highest biomass of 673 mg L-1 with a specific growth rate of 0.75 day-1 followed by blue (500 mg L-1; 0.73 day-1). The chlorophyll content was enhanced under blue light (10.7 mg L-1) followed by cool fluorescent light (9.3 mg L-1), whereas the lutein productivity was enhanced under cool fluorescent light (7.22 mg g-1). Protein content of the microalgal consortia was enhanced under all light treatments with the highest protein accumulation under cool-white fluorescent light (~56% of dry mass) closely followed by amber light (52% of dry mass), whereas the carbohydrate content was higher under amber light (~35% of dry mass). The results revealed that the consortia could grow well on diluted dairy wastewater thereby reducing the cost of algal production when compared with the use of inorganic media and a two-phase culture process utilizing cool fluorescent and amber light could be employed for maximizing algal biomass and nutrient composition with enhanced lutein production. The study also emphasizes on the economic efficiency of LED lights in terms of biomass produced based on the modest electricity consumed and the importance of using amber light for cultivating microalgae for its nutrient content which has seldom been studied.

Agent modeling of vehicle traffic at a regulated intersection

The article contains information about the rules of agent-based modeling of the movement of a vehicle in a stream. The vehicle is considered as a homogeneous agent with reactive behavior. The reactive behavior of the agent allows you to control the distance with respect to the vehicle in front and react to the traffic light signal at an adjustable intersection. Testing the reactive behavior of the agents was performed in the NetLogo multi-agent programming environment. The article provides NetLogo code for a fragment of the agent model responsible for the movement of vehicles at the intersection. Obtained using the model, the graph of traffic intensity corresponds to the theoretical graph.

Adaptation of the PKP PLK S.A. Train Light Signaling to Higher Number of Signal Aspects

The article discusses the train signaling system developed in OSŻD. The traffic light signaling currently used on the network managed by PKP Polskie Linie Kolejowe S.A. (Polish Railway Lines) is also described. A proposal of traffic light signals is presented, enabling the transmission of information on travel speeds on the turning tracks of turnouts operated on the PKP PLK S.A. network. The proposed signaling has been developed based on OSŻD (in Rus. Организация со-трудничества железных дорог – ОСЖД) signaling. The number of signals needed was obtained by introducing a second yellow light strip and optionally two different flashing frequencies. Keywords: railway signaling, signaling for trains, lineside signals, railway traffic control devices

Enabling performance and security simulation studies of intelligent traffic signal light control with VENTOS-HIL

Vehicular Ad-hoc Network (VANET) simulators have gained widespread adoption in the research community given the fact that they can simulate near real life scenarios to evaluate driver-safety applications without endangering human lives. In this paper, we present the VEhicular NeTwork Open Simulator (VENTOS), a closed-loop VANET simulator that combines the capabilities of both communication network (OMNET++) and vehicular traffic simulators (SUMO). As an alternative to current proprietary VANET simulators, VENTOS is a free, open-source simulator that is designed for vehicular traffic flow analysis and can incorporate new control logic, such as intelligent traffic controller, collaborative driving, dynamic routing, and self-driving capability. VENTOS supports V2X (Vehicle-to-Vehicle or Vehicle-to-Infrastructure) communication through dedicated short-range communication (DSRC) integration. This paper will give an overview of the VENTOS architecture and its extension, VENTOS-HIL, which supports hardware-in-the-loop emulation using physical devices such as On-Board Units (OBUs) or Roadside Units (RSUs). We then demonstrate how VENTOS can be utilized to simulate and evaluate the performance of multi-modal, adaptive traffic signal control (TSC) as well as to illustrate the security vulnerability of intelligent TSC in the presence of falsified data attacks.

Research on Target Deviation Measurement of Projectile Based on Shadow Imaging Method in Laser Screen Velocity Measuring System.

In the laser screen velocity measuring (LSVM) system, there is a deviation in the consistency of the optoelectronic response between the start light screen and the stop light screen. When the projectile passes through the light screen, the projectile’s over-target position, at which the timing pulse of the LSVM system is triggered, deviates from the actual position of the light screen (i.e., the target deviation). Therefore, it brings errors to the measurement of the projectile’s velocity, which has become a bottleneck, affecting the construction of a higher precision optoelectronic velocity measuring system. To solve this problem, this paper proposes a method based on high-speed shadow imaging to measure the projectile’s target deviation, ΔS, when the LSVM system triggers the timing pulse. The infrared pulse laser is collimated by the combination of the aspherical lens to form a parallel laser source that is used as the light source of the system. When the projectile passes through the light screen, the projectile’s over-target signal is processed by the specially designed trigger circuit. It uses the rising and falling edges of this signal to trigger the camera and pulsed laser source, respectively, to ensure that the projectile’s over-target image is adequately exposed. By capturing the images of the light screen of the LSVM system and the over-target projectile separately, this method of image edge detection was used to calculate the target deviation, and this value was used to correct the target distance of the LSVM to improve the accuracy of the measurement of the projectile’s velocity.

Dynamic LED light versus static LED light for depressed inpatients: results from a randomized feasibility trial

BackgroundRetrospective studies conducted in psychiatric wards have indicated a shorter duration of stay for depressed inpatients in bright compared to dim daylight-exposed rooms, pointing to a possible antidepressant effect of daylight conditions. Dynamic LED lighting, aiming to mimic daylight conditions, are currently been installed in several hospitals, but their feasibility is poorly investigated.MethodsTo investigate the feasibility of these systems, we developed and installed a LED-lighting system in four rooms in a psychiatric inpatient ward. The system could function statically or dynamically regarding light intensity and colour temperature. The system consisted of (A) a large LED luminaire built into the window jamb mimicking sunlight reflections, (B) two LED light luminaires in the ceiling and (C) a LED reading luminaire. In the static mode, the systems provided constant light from A and B. In the dynamic mode, the system changed light intensity and colour temperature using A, B and C. Patients with unipolar or bipolar depression were randomised to dynamic or static LED lighting for 4 weeks, in addition to standard treatment. Primary outcome was the rate of patients discontinuing the trial due to discomfort from the lighting condition. Secondary outcomes were recruitment and dropout rates, visual comfort, depressive symptoms and suicidal ideation.ResultsNo participants discontinued due to discomfort from the LED lighting. Recruitment rate was 39.8%, dropout from treatment rates were 56.3% in the dynamic group and 33.3% in the static group. 78.1% in the dynamic group were satisfied with the lighting compared with 71.8% in the static group. Discomfort from the light (glare) was reported by 11.5% in the dynamic group compared to 5.1% in the static group. Endpoint suicidal scores were 16.8 (10.4) in the dynamic and 16.3 (14.9) in the static group. The lighting system was 100% functional. The light sensor system proved unstable.ConclusionDropout from treatment was high primarily due to early discharge and with a lack of endpoint assessments. The feasibility study has influenced an upcoming large-scale dynamic lighting efficacy trial where we will use a shorter study period of 3 weeks and with more emphasis on endpoint assessments. The lighting was well tolerated in both groups, but some found intensity too low in the evening. Thus, we will use higher intensity blue-enriched light in the morning and higher intensity amber (blue-depleted) light in the evening in the upcoming study. The light sensor system needs to be improvedTrial registrationClinicalTrials.gov: NCT03363529

Mitigation of traffic pollution emissions in the built environment: a real-time flow actuated tool for on ramp management

Highways are increasingly common in today’s built environment and contribute majorly in environmental pollution. Mitigation strategies have been developed to decrease the traffic volume but have not been as effective, since the need for car use in transportation keeps growing. The key is to create an efficient road network which will allow the same traffic volume to flow through, with a reduced environmental impact. The main goals of this paper include the investigation and evaluation of alternative ramp metering scenarios on a freeway on-ramp and the development of a “smart” signal controller, with the use of PTV Vissim microsimulation software. A specific area was selected for the implementation of this study. More precisely, interchange K8 on the Ring road of Thessaloniki was chosen, in which, measurements of traffic volume were taken using a drone to record the traffic. Using the Vissim platform, a software model was created and evaluated to determine its accuracy compared to the existing situation. Different scenarios were developed, and the function of the interchange was observed, as well as the percentage of emissions. In the first set of scenarios, the traffic volume was increased by certain percentage and the results were collected and examined. Next, two new scenarios with the use of ramp metering were developed and a traffic signal was placed on the on-ramp. In the first of these two scenarios, a traffic signal light with a fixed-time traffic program was placed, whereas in the second one, a vehicle-actuated signal light was created, with the use of the VisVAP add-on. A flow chart was generated and used to program the signal light, so that each time high traffic volume was detected by the detectors that were placed in the expressway, the red light was activated. After all the scenarios were created and examined, certain KPI’s regarding CO, NOx and VOC emissions and fuel consumption, as well as other traffic related data, were collected and used for the overall evaluation. The results from the use of the ramp meter, either the fixed-time or the vehicle-actuated, showed that a ramp meter can be very useful in the improvement of the traffic conditions and may have a positive environmental impact, by reducing emissions even up to 70%.

Intelligent traffic light design and control in smart cities: a survey on techniques and methodologies

Increased traffic in metropolitan territories has led to significant concerns, such as road blockage, transportation delays, pollution level, fuel consumption, etc. Traffic light signals at intersections, being a part of Traffic Management System (TMS) play an important role in effectively controlling traffic. The conventional pre-timed controlled traffic signals are becoming a bottleneck in clearance of intense traffic especially during rush hours. Adaptive Traffic Light Control (ATLC) has been outlined for quick traffic clearance at junctions, which could additionally be upgraded by giving right of approach to emergency vehicles. This survey summarises ATLC systems designed by leveraging the existing technologies such as WSN, VANET and image processing techniques to gather real-time traffic statistics, and evaluating the accumulated data to alter traffic lights with the aid of intelligent controllers. Keeping in mind the benefits of fuzzy logic in traffic control, this survey provides in-depth review of the fuzzy controllers in context to traffic lights at isolated and multiple intersections. Popular ATLC systems implemented worldwide are also summarised.

Saturday in Bethlehem, and: To Leave Out

Saturday in Bethlehem, and: To Leave Out Jazelle Jajeh (bio) Saturday in Bethlehem Two girls hold cactus fruits, sit against theSeparation wall, cross-legged the way I wasin kindergarten on my blue and red carpetsquare. Behind them, graffiti, paintings ofMarwan Barghouti, his chin in his hands,the woman plane hijacker, her lips parted over their braids. The fruit is fiveshekels a bag. My mother watches the greenin their hands shift from light to dark as theydrop them. I sit against a concretefountain that could have had wateronce, my cousins beside me with a bag of falafel, ka'ak, freckled baked eggs, all thefood I turned away. Must have beensomething in the water. My motherwill never get sick here. She knows where to look,what to wash out or leave whole. She watches the girls peel fruit with their fingernails. Theyellow flesh emerging. Only in the Americas is theflesh pink; here it's just like everything else, bakedin time, light stripped clean. All the faded blue doors,crowded stalls, boys in ripped jeans, iPhones bulgingtheir hips, wire people strung together in the faded amber light. What does it say? All my time here, whensomeone peels open a cactus fruit, I expect it to be pink. [End Page 187] To Leave Out My grandfather loved spam because he did nothave options and when united nationstrucks came all in white his family wasthe only Christian one left meaning porkmeaning only they could take what was leftover. My grandfather and his brothers slepton a roof eating un spam they leftWest Jerusalem which was at once JustJerusalem which was now left for theforeigners and soldiers who would not eat thespam. At my great uncle's house in Detroithe pushes pink slices of what they hadtoward us. Yallah eat he says.My brother grimaces at the flesh texture.It's good. It will last forever. [End Page 188] Jazelle Jajeh Jazelle Jajeh was born in the San Francisco Bay area and continues to live there. She is a product of the Palestinian diaspora in California and finds this to be a happy accident. She recently received her bachelor's degree in English from the University of San Francisco. Copyright © 2020 University of Nebraska Press

Idare Hukukunun Işlevine Yönelik Bir Yaklaşım: “Trafik Işığı Metaforu”

Administrative law typically deals with the rules governing the duties, powers and organizational structure of the administration and the control mechanisms prescribed against illegalities. In the doctrine, there are two basic approaches related to the function of administrative law: keeping the administration under supervision and contributing to the effective provision of public services. These approaches constitute the basis of the red light and green light theories as two important theories that form the traffic-light metaphor developed for the function of administrative law. While the red light theory puts the judicial control of the administration at the center, the green light theory draws attention to the role of administrative law in facilitating activities by emphasizing the forms of democratic or political accountability. In addition to these two theories, while the accepted amber light theory does not ignore the importance of judicial supervision, it emphasizes the need to establish a balance between supervision to be conducted and the purpose of meeting the needs of individuals. In this study, the red light, green light and amber light theories, which constitute the traffic-light metaphor, will be examined as an approach to the function of administrative law.

Spatial Vector-based Approach to the ERP Analysis as Applied to an EEG-based Discrimination of Traffic Light Signals

Spatial Vector-based Approach to the ERP Analysis as Applied to an EEG-based Discrimination of Traffic Light Signals

FRET-Created Traffic Light Immunoassay Based on Polymer Dots for PSA Detection.

There have been enormous efforts for developing the next generations of fluorometric lateral flow immunochromatographic strip (ICTS) owing to the great advances in fluorescent materials in these years. Here we developed one type of fluorometric ICTS based on ultrabright semiconducting polymer dots (Pdots) in which the traffic light-like signals were created by energy transfer depending on the target concentration. This platform was successfully applied for qualitatively rapid screening and quantitatively precise analysis of prostate-specific antigen (PSA) in 10 min from merely one drop of the whole blood sample. This FRET-created traffic light ICTS possesses excellent specificity and an outstanding detection sensitivity of 0.32 ng/mL for PSA. Moreover, we conducted proof-of-concept experiments to demonstrate its potential for multiplexed detection of cancer biomarkers at the same time in an individual test strip by taking advantage of the traffic light signals. To the best of our knowledge, it is the first model of a traffic light-like immunoassay test strip based on Pdots with multiplexing ability. These results would pave an avenue for designing the next generation of point-of-care diagnostics.

Activating an optogenetically engineered retina with a wearable headset in patients with retinitis pigmentosa

AbstractPurposeOptogenetics allows the expression of channelrhodopsins like ChrimsonR (ChR) in the retina of blind patients in order to confer light sensitivity to retinal ganglion cells (RGCs). However, ChR has a low sensitivity to light and is unlikely to be activated by ambient light. To activate ChR and to obtain a functional response from the RGCs, we developed and tested a wearable headset that delivers light stimulation to the human retina at an appropriate irradiance and wavelength.MethodsWe designed and constructed a wearable headset using electronics, optics, mechanics and software engineering. The proper range of light intensity required for the activation of ChR fused with tdTomato (ChRtdT) was tested on explanted retinas of non‐human primates (NHPs) transfected with AAV2.7m8‐ChRtdT. The ocular safety of exposure to 595 nm LED light following intravitreal injection of AAV2.7m8‐ChRdtT was assessed in rd1 mice, an established animal model for retinitis pigmentosa.ResultsActivation of ChRtdT in explanted retinas of NHPs transfected with AAV2.7m8‐ChRtdT showed that a minimum of 1015 photons/cm2/s (0.33 mW/cm2) of amber light was required to get a statistically significant electrophysiological response.In rd1 mice transfected with AAV2.7m8‐ChRtdT, fourteen days after exposure to 595‐nm LED light for 2 hours, no light‐related findings were identified in the retina at the highest intensity tested (nominal 1.7 × 1017 photons/cm2/s).As a result, our wearable headset provides a retinal irradiance up to 4 × 1016 photons/cm2/s for a period leading to a dose matching the one received by the retina of rd1 mouse exposed for 2 hours, a level shown to be safe for the retina.ConclusionOur medical device GS030‐MD was designed to send a light irradiance to the human retina both sufficient to activate ChRtdT and safe for the eye. GS030‐MD is currently being tested in combination with AAV2.7m8‐ChRtdT in the first‐in‐man PIONEER Phase I/II clinical trial.

453 Published By: Blue Eyes Intelligence Engineering & Sciences Publication Retrieval Number: A4186119119/2019©BEIESP DOI: 10.35940/ijitee.A4186.119119 Journal Website: www.ijitee.org Effective Traffic Management System for Vehicular Network

Vehicular ad hoc networks are becoming the promising research topic in Intelligent transportation system. VANET enable the collaboration amongst multiple vehicle communication which supports by their arrangement and infrastructure for consistent data delivery services. Due to high mobility of vehicles, the data cannot be delivered between vehicles with change in their topologies and its becoming an emerging high area in the field of research. However, the ideal characteristics of vanet routing protocols make proper connectivity for reliable and effective data delivery in traffic scenarios. This article starts with traffic congestion and dissemination of the information to nearby vehicles for making smart city into a very smarter one. As a result of miscommunication between the vehicles , severe accidents happened scores of times especially in the traffic prevailing areas. In order to mitigate terrible accidents, We then focus on (traffic light aware routing protocol) TLRC with (Soft Reservation Multiple Access with Priority Assignment) SRMA/PA routing protocols at intersections and traffic light signals under traffic congestion. In Sum, this article enriches the performance of data delivery ratio and end to end delay in exchanging data between Vanet equipped vehicles.