Current Speed Limit Research Articles

Rapid trajectory generation for quadrotor with limited motor speed

Planning a safe and dynamic flyable trajectory for unmanned aerial vehicle (UAV) is the precondition for autonomous flight. Considering environmental complexity and flight safety under limited motor speed, we proposed a new time-segmented trajectory planning method, which can ensure motor speed within the allowable range and achieve safe flight. Firstly, the candidate trajectory for quadrotor UAV is expressed by high-order polynomials. Herein, polynomial is used as the expression of trajectory, and nonlinear programming (NLP) is used to calculate polynomial coefficient. Then, two strategies and an initial value calculation method are proposed to improve the efficiency of NLP. Furthermore, aiming at the problem that the initial trajectory of UAV motor cannot meet the current speed limit constraint after the motor speed drops, an adjustment strategy based on feasible trajectory is designed. The method presented in this paper not only enhances flexibility of the flight process, improves solving efficiency of the algorithm but also enables UAV to continue flying when the motor speed is limited. Finally, simulation analysis and comparison illustrate the effectiveness and superiority of the proposed method.

Coordinated Variable Speed Limit Control for Consecutive Bottlenecks on Freeways Using Multiagent Reinforcement Learning

Most of the current variable speed limit (VSL) strategies are designed to alleviate congestion in relatively short freeway segments with a single bottleneck. However, in reality, consecutive bottlenecks can occur simultaneously due to the merging flow from multiple ramps. In such situations, the existing strategies use multiple VSL controllers that operate independently, without considering the traffic flow interactions and speed limit differences. In this research, we introduced a multiagent reinforcement learning-based VSL (MARL-VSL) approach to enhance collaboration among VSL controllers. The MARL-VSL approach employed a centralized training with decentralized execution structure to achieve a joint optimal solution for a series of VSL controllers. The consecutive bottleneck scenarios were simulated in the modified cell transmission model to validate the effectiveness of the proposed strategy. An independent single-agent reinforcement learning-based VSL (ISARL-VSL) and a feedback-based VSL (feedback-VSL) were also applied for comparison. Time-varying heterogeneous traffic flow stemming from the mainline and ramps was loaded into the freeway network. The results demonstrated that the proposed MARL-VSL achieved superior performance compared to the baseline methods. The proposed approach reduced the total time spent by the vehicles by 18.01% and 17.07% in static and dynamic traffic scenarios, respectively. The control actions of the MARL-VSL were more appropriate in maintaining a smooth freeway traffic flow due to its superior collaboration performance. More specifically, the MARL-VSL significantly improved the average driving speed and speed homogeneity across the entire freeway.

Control System and Routing Network under Vehicle-to-Vehicle Communication

This paper first studied platooning in vehicle-to-vehicle communication. Road safety has always been a bit problem in our society, driving with help of platooning control system becomes necessary. This paper compared different methods and tried to get the minimum driving gaps between vehicles depending on driver preference, car size, current speed limit and so on. After evaluating car platooning, this paper studied further information about road networking by analysing different routing network techniques. Graph Attention Network (GAT), Generalized Value Iteration Network (GVIN), Multi-Agent Routing Value Iteration Network (MARVIN). Either method have pro and cons, Marvin has generally good performance and a relatively low price. With the development of vehicle communication, MARVIN could be the main field because of its future potential.

The speed limit debate: Optimal speed concepts revisited under a multi-fuel regime

The purpose of this paper is to revisit speed optimization and speed reduction models for liner shipping in a multi/flexible fuel context with regards to the current ongoing speed limit debate at the International Maritime Organization (IMO). The focus is mainly on analyzing the influence of a maximum average speed limit on the optimal speeds, carbon intensity and emissions in conjunction with fleet deployment for dual fuel (DF) Neopanamax container vessels utilizing liquefied natural gas (LNG).

A reliability-based weather-responsive variable speed limit system to improve the safety of rural highways

Weather-responsive Variable Speed Limit (WRVSL) systems treat speed limits as weather-dependent random variables, as opposed to the conventional static speed limits. This study (i) evaluates drivers’ response to a fixed speed limit in different road-weather conditions, and (ii) proposes an effective approach to set WRVSLs, for rural divided highways located in extremely cold regions. Study data: road-weather, and speed data, collected from a rural highway (fixed speed limit = 110 km/h), are used to (i) estimate the 85th percentile speeds of population-level speed distributions, and (ii) develop WRVSLs based on the reliability theory. More specifically, the WRVSLs are set based on reliability: the probability of a speed being (i) likely complied by drivers, and (ii) adequate to avoid a rear-end collision. The study results reveal that merely 73 % of the drivers at the study site comply with the existing posted speed limit under normal road-weather conditions i.e., no precipitation and dry pavements. The reliability of the current speed limit is revealed to be approximately-one under normal road-weather conditions; thus, the current speed limit is perceived credible under such road-weather conditions. Yet, reliability of the current speed limit is substantially reduced in the presence of slight snow, and ice warning pavement conditions. A set of reliability-based WRVSLs ranging from 80 to 110 km/h is proposed. Jurisdictions experiencing extreme road-weather conditions may adapt the proposed methodology to effectively manage speed, particularly in rural highways under adverse road-weather conditions to enhance the probability of speed limits being safe and complied by drivers and as a result reduce crash propensity.

A Fuzzy-Logic Approach Based on Driver Decision-Making Behavior Modeling and Simulation

The present study proposes a decision-making model based on different models of driver behavior, aiming to ensure integration between road safety and crash reduction based on an examination of speed limitations under weather conditions. The present study investigated differences in road safety attitude, driver behavior, and weather conditions I-69 in Flint, Genesee County, Michigan, using the fuzzy logic approach. A questionnaire-based survey was conducted among a sample of Singaporean (n = 100) professional drivers. Safety level was assessed in relation to speed limits to determine whether the proposed speed limit contributed to a risky or safe situation. The experimental results show that the speed limits investigated on different roads/in different weather were based on the participants’ responses. The participants could increase or keep their current speed limit or reduce their speed limit a little or significantly. The study results were used to determine the speed limits needed on different roads/in different weather to reduce the number of crashes and to implement safe driving conditions based on the weather. Changing the speed limit from 80 mph to 70 mph reduced the number of crashes occurring under wet road conditions. According to the results of the fuzzy logic study algorithm, a driver’s emotions can predict outputs. For this study, the fuzzy logic algorithm evaluated drivers’ emotions according to the relation between the weather/road condition and the speed limit. The fuzzy logic would contribute to assessing a powerful feature of human control. The fuzzy logic algorithm can explain smooth relationships between the input and output. The input–output relationship estimated by fuzzy logic was used to understand differences in drivers’ feelings in varying road/weather conditions at different speed limits.

Do adaptive cruise control and lane keeping systems make the longitudinal vehicle control safer? Insights into speeding and time gaps shorter than one second from a naturalistic driving study with SAE Level 2 automation

Advanced driver assistance systems such as adaptive cruise control (ACC) and lane keeping system (LKS) potentially contribute to reducing crash rates and traffic congestion. On-road studies based on early ACC systems operational at medium–high speeds only have shown that the system reduces the proportion of short time gaps when activated. Despite the effects on driver behaviour, most mathematical models assessing the impact of ACC and LKS systems on crash rates and traffic congestion are not based on empirical findings.This study examines the factors that influence changes in the longitudinal vehicle control when driving with ACC and LKS. The data were collected in a naturalistic driving experiment with full-range ACC and LKS and two different vehicle brands (BMW and Tesla) in the Netherlands. To capture changes that are relevant for traffic safety, speeding and a time gap shorter than one second were investigated. The factors influencing speeding and short time gaps were analysed using statistical tests and logistic regression models with random effects, that allow to control for the impact of different explanatory variables and correlations between repeated 10-s intervals over time.The findings revealed that, overall, drivers were less likely to speed and they were also less likely to have a time gap shorter than one second in the experimental condition with the ACC and the LKS than in the baseline condition in manual driving. Drivers were likely to speed in the following 10-s interval when the current speed was close to the speed limit, and/or when the next speed limit was lower than the current speed limit, and/or when the acceleration was high. Drivers were likely to have a short time gap in the following 10-s interval when approaching a slower leader, and/or when the current time gap was short and/or when the acceleration was high. Controlled for these main factors, drivers were less likely to speed and to have a short time gap when the ACC and the LKS were active. However, drivers were more likely to speed when overruling the ACC by pressing the gas pedal. When the systems were active, one vehicle brand showed a smaller probability of a short time gap than the other brand, suggesting differences in ACC system settings between brands. In addition, the speeding probability increased while the probability of a short time gap decreased over time during the trip after the activation of the systems. Although further studies including a larger sample of participants and a wider range of traffic situations are needed, the results are useful to the design of automated vehicles that prevent speeding and short time gaps, and to the implementation of traffic simulations that evaluate the impact of ACC and LKS on crash rates and traffic congestion according to realistic on-road data.

Safe speeds: fatality and injury risks of pedestrians, cyclists, motorcyclists, and car drivers impacting the front of another passenger car as a function of closing speed and age

As crash speed increases, so does the probability of injury. The vulnerability of different road users varies greatly, in part due to differences in their protective equipment. Therefore, for the same speed, their injury probabilities are different. The objective of this study is to define injury risk curves, mathematical relations between closing speed (the relative speed between two crash partners) and injury outcome, for different road users. These risk curves can be used to rank road user vulnerability and define safe speeds, i.e. speeds not exceeding tolerable injury probabilities. Crashes involving pedestrians, cyclists, motorcyclists, and car drivers impacting the front of another passenger car (i.e. frontal impacts from the other car’s perspective) were extracted from the German in-depth accident study (GIDAS). The injuries were modelled as a function of closing speed and road user age using a weighted binary logistic regression. In accordance with the Abbreviated Injury Scale 2015 revision, three injury severities were modelled: at-least-moderate injury severities, at-least-serious injury severities, and fatal injuries. The constructed risk curves predicted injury outcomes with an average Area under the Curve ranging from 0.66 to 0.94 in cross-validation. A 10% risk of sustaining at-least-serious injuries corresponds to a closing speed of 29 km/h for pedestrians, 44 km/h for cyclists, 48 km/h for motorcyclists, and 112 km/h for car drivers. If a 10% risk of serious injury is acceptable, the closing speeds can be translated into safe speed limits of 25 km/h for cars with pedestrian encounters; 20 to 25 km/h for cyclists, motorcyclists, and cars when they encounter each other; and 55 km/h for cars in head-on impacts. These safe speeds align with current speed limits of 20 to 30 km/h in urban centers but bring into question the current practices of much higher speed limits on rural roads shared by bicycles, motorcycles, and cars. However, safe speed limits could be increased (maintaining a 10% serious injury risk) if road users have more protective equipment and Automated Emergency Braking reliably reduces impact speeds in all crash types.

A Study on Under Keel Clearance of Gadeok Channel for the Safety Passage of Mega Container Ship

The worldwide sizes of container ships are rapidly increasing. The container ship size in 2005, which was about 9,200 TEU has increased to 24,000 TEU in recent times. In addition to the increase in the sizes of the container ships, the arrivals/departures of large container vessels to/from Korea have also increased. Hence, the necessity for reviewing safe passage of such vessels is emphasized. In the present study, a 24,000 TEU container vessel was used as a model ship to calculate the under-keel clearance (UKC) at Gadeok Channel through which vessels must pass to arrive at Busan New Port, in accordance with the Korean Port and Fishing Port Design Standards and Commentary. In addition, the maximum allowable speed that meets UKC standards was calculated using various squat formulas, whose results were then compared with the current speed limit standards. The analysis results show that Busan New Port requires 10% marginal water depth, and the squat that meets this requirement is 0.95 m. Gadeok Channel requires 15% marginal water depth, and the squat that meets this requirement is 1.78 m; in this case, the maximum allowable speed is calculated as 15 kts. Busan New Port has set the speed limit as 12 kts, which is higher than the calculated 11 kts. Thus, speed limit reconsideration is required in terms of safety. However, the set speed limit for Gadeok Channel is 12 kts, which is lower than the calculated 15 kts. Thus, additional considerations may be provided to increase the speed limits for smooth navigational passage of vessels. The present study, however, is constrained by the fact that it reflects only a limited number of elements in the UKC and allowable speed calculations; therefore, more accurate UKC and safe speed values can be suggested based on extended studies to this research.

Estimation of Optimal Speed Limits for Urban Roads Using Traffic Information Big Data

The use of an inconsistent speed limit determination method can cause low speed limit compliance. Therefore, we developed an objective methodology based on engineering judgment considering the traffic accident rate in road sections, the degree of roadside development, and the geometric characteristics of road sections in urban roads. The scope of this study is one-way roads with two or more lanes in cities, and appropriate sections were selected among all roads in Seoul. These roads have speed limits of the statutory maximum speed of 80 km/h or lower and are characterized by various speeds according to the function of the road, the roadside development, and traffic conditions. The optimal speed limits of urban roads were estimated by applying the characteristics of variables as adjustment factors based on the statutory maximum speed limit. As a result of investigating and testing various influence variables, the function of roads, the existence of median, the level of curbside parking, the number of roadside access points, and the number of traffic breaks were selected as optional variables that influence the operating speed. The speed limit of one-way roads with two or more lanes in Seoul was approximately 10 km/h lower than the current speed limit. The existing speed limits of the roads were applied uniformly considering only the functional road class. However, considering the road environment, the speed limit should be applied differently for each road. In the future, if the collection scope and real-time collection of road environment information can be determined, the GIS visualization of traffic safety information will be possible for all road sections and the safety of road users can be ensured.

Deriving environment-friendly speed limit scheme using an integrated traffic simulation framework

ABSTRACT Traffic authorities have taken various measures to mitigate vehicular-source pollution emissions, among which setting speed limits has been proved to be effective. However, most of the existing macroscopic research proposes idealized mathematical models to design optimal speed limit from the perspective of network equilibrium, and the simplified pollution emission functions cannot accurately reflect the emission mechanism. In order to improve the accuracy of emission calculation and obtain more reliable speed limit schemes in a large-scale network, an integrated traffic simulation approach was proposed herein to derive environment-friendly road speed limit schemes. First, this article built an integrated simulation framework to portray traffic operations and emissions comprehensively. Subsequently, a toy network was employed to demonstrate how to obtain environment-friendly speed limit schemes using this framework. Then this article utilized it to determine the corresponding optimal speed limit schemes on the Second Ring road network in Beijing under different scenarios. The results indicated that traffic authorities should impose adaptive rather than fixed speed limits according to traffic period and emission reduction priority. Moreover, imposing the derived speed limit schemes, the amounts of total emissions, hydrocarbons, carbon monoxide, nitrogen oxides, carbon dioxide, and fine particulate matter decreased by 2.24%, 0.72%, 0.13%, 1.61%, 2.32%, and 5.35% during peak hour, and by 8.31%, 0.60%, 1.92%, 7.16%, 8.60%, and 8.72% during off-peak hour, respectively. Implications: In order to alleviate traffic pollutions emission issues more effectively from the traffic management perspective, we put forward an integrated traffic simulation approach to derive the environmental friendly road speed limit schemes. We combined MOVES and PARAMICES to build the integrated traffic simulation framework to portray road traffic operations and emissions elaborately. To verify the effectiveness of our method on real large road network, we used this method to find out the corresponding optimal speed limit schemes within the combination scheme set on Second Ring road network in Beijing under different traffic demand scenarios. Comparing with the current speed limit scheme, our derived speed limit scheme contributed to lowering emission. The amounts of total pollution emissions, hydrocarbons (HC), carbon monoxide (CO), nitrogen oxides (NOx), carbon dioxide (CO2), and fine particulate matter (PM2.5) decreased by 2.24%, 0.72%, 0.13%, 1.61%, 2.32%, and 5.35% during peak hours, and by 8.31%, 0.60%, 1.92%, 7.16%, 8.60%, and 8.72% during off-peak hours, respectively.

Increase of the throughput and processing capacity of the railway line mountain pass section by strengthening the devices of the system of traction power supply

According to the forecast target indicators values of the JSC “Russian Railways” integrated development project until 2023, it is necessary to increase the East Siberian railway capacity of the mountain-pass section of the Bolshoy Lug – Slyudyanka-II up to 137 pairs of trains per day. The freight trains number should be 107 pairs per day, a raft of pushing locomotives in the odd direction up to 19 units. The section transportation capacity will increase to 116.7 million tons per year. According to the specified operation parameters, with the growth of cargo turnover on the Irkutsk – Slyudyanka section by 2023, the available capacity shortage will be 14 pairs of trains. In freight traffic, if all provided reserve lines of the the regulatory schedule are used, the capacity deficit will be 11 pairs of various categories trains. The article offers a solution of the existing section power supply devices strengthening problem until the inter-train interval of 8 minutes is reached, for this purpose, the technical parameters of the section substations are considered, and the performance indicators that can provide reliable and cost-effective working conditions are determined. The operation conditions of a traction power network (TPN) of the Bolshoy Lug – Slyudyanka-II section under the existing traffic schedule and under the prospective train schedule are compared. Traction calculations have a special role, since they serve as the basis for drawing up optimal train schedules, determining the railway lines capacity, effectively placing separate points, traction substations, fuel depots, determining the locomotives electricity and fuel consumption rate, solving other practical problems. Traction operation calculation of the electrified mountain pass section of the Bolshoy Lug – Slyudyanka-II railway line was performed using the KORTES software package. The power supply parameters of a given section were used as input data: the separate points number and location, the current speed limits for trains on this section, the longitudinal profile of the railway track, the categories and types of trains that pass through the section, the trains weights and the electric rolling stock types used in the calculation.

Smart Dynamic Traffic Monitoring and Enforcement System

Enforcement of traffic rules and regulations involves a wide range of complex tasks, many of which demand the use of modern technologies. variable speed limits (VSL) control is to change the current speed limit according to the current traffic situation based on the observed traffic conditions. The aim of this study is to provide a simulation-based methodological framework to evaluate (VSL) as an effective Intelligent Transportation System (ITS) enforcement system. The focus of the study is on measuring the effectiveness of the dynamic traffic control strategy on traffic performance and safety considering various performance indicators such as total travel time, average delay, and average number of stops. United Arab Emirates (UAE) was selected as a case study to evaluate the effectiveness of this strategy. A micro simulation software package VISSIM with add-on module VisVAP is used to evaluate the impacts of VSL. It has been observed that VSL control strategy reduced the average delay time per vehicle to around 7%, travel time by 3.2%, and number of stops by 48.5%. Dynamic traffic control strategies also alleviated congestion by increasing the capacity of the bottleneck section and improving safety. Results of this study would act as a guidance for engineers and decision makers to new traffic control system implementation.

Estimating the health benefits associated with a speed limit reduction to thirty kilometres per hour: A health impact assessment of noise and road traffic crashes for the Swiss city of Lausanne

Reductions of speed limits for road traffic are effective in reducing casualties, and are also increasingly promoted as an effective way to reduce noise exposure.The aim of this study was to estimate the health benefits of the implementation of 30 km/h speed limits in the city of Lausanne (136′077 inhabitants) under different scenarios addressing exposure to noise and road crashes.The study followed a standard methodology for quantitative health impact assessments to derive the number of attributable cases in relation to relevant outcomes. We compared a reference scenario (without any 30 km/h speed limits) to the current situation with partial speed limits and additional scenarios with further implementation of 30 km/h speed limits, including a whole city scenario.Compared to the reference scenario, noise reduction due to the current speed limit situation was estimated to annually prevent 1 cardiovascular death, 72 hospital admissions from cardiovascular disease, 17 incident diabetes cases, 1′127 individuals being highly annoyed and 918 individuals reporting sleep disturbances from noise. Health benefits from a reduction in road traffic crashes were less pronounced (1 severe injury and 4 minor injuries). The whole city speed reduction scenario more than doubled the annual benefits, and was the only scenario that contributed to a reduction in mortality from road traffic crashes (one death per two years). Implementing 30 km/h speed limits in a city yields health benefits due to reduction in road traffic crashes and noise exposure. We found that the benefit from noise reduction was more relevant than safety benefits.

Prevalence and factors associated with pedestrian fatalities and serious injuries: case Finland

The aim of the study was to examine the prevalence of pedestrian fatalities and serious injuries (MAIS3+) in traffic, and to identify differences in the factors associated with the injury severities. The study included all motor vehicle-pedestrian accidents in Finland in 2014–2017 and exposure data from the national travel survey of 2016. The results showed a heightened fatality and serious injury rate specifically for pedestrians aged over 75 years and in rural heartland areas. Furthermore, differences were identified in the current speed limit, municipality type, lighting conditions, vehicle type, area type, accident location, and road conditions between pedestrian fatalities and serious injuries. The main implications of the study are that traffic safety measures should be tailored to local conditions and amended and redirected to account for both fatalities and serious injuries. In order to conduct comparative studies between countries and support the achievement of transport policy objectives, further harmonisation of definitions and data collection procedures for traffic accidents is needed.

Use of AIS data for performance evaluation of ship traffic with speed control

Speed control in inland water systems needs to achieve effective balance between ship operational efficiency and transport safety. However, speed limit regulations are largely formulated through expert judgment rather than objective evidence-based evaluation, which sometimes leads to inefficiency due to subjective bias. In this study, a new method is proposed to evaluate the performance of shipping traffic under current speed limits by using the automatic identification system (AIS) big data of 4923 ships in the Shanghai section of the Yangtze River in China. The key elements of this method include data acquisition, error elimination, combination of ship AIS and waterway geocoded data to model traffic flow characteristics, and estimation of the correlation between ship speed and congestion level. Shipping traffic performance in different segments is analyzed. Results reveal that the overall compliance to the speed limit is high, and only a few over-speeding cases are noted in certain segments. Furthermore, we use a normal distribution to model the correlation between ship speed and traffic volume. The findings indicate that the current speed limit in the Shanghai section of Yangtze River is rational. This work provides useful insights into testing the rationality of speed limits in other waterways or shipping channels.

Low speed limits in residential areas in Melbourne, Australia

Objective: This study set out to provide pretrial data for use in evaluating the benefits of lower speed limits in a local residential area in Melbourne.Methods: An online survey was conducted to assess community views among residents to the proposed trial on a number of relevant issues, along with speed measurements at more than 70 road sites in the region.Findings: The findings showed a degree of support for reducing the speed in local streets in the trial region, even though most respondents thought the current speed limit (40 km/h, 25 mph) was about right. Most agreed that reducing the speed limit in the region was good for safety and would make the area more pleasant. The average travel speed was 28.3 km/h (17.7 mph) and the 85th percentile speed was 35.0 km/h (21.9 mph) from onsite speed measurement (42% of the individual speeds recorded at the test sites were over 30 km/h or 18.75 mph).Conclusions: These findings give support to the expectation that lower speed limits on local streets may be possible with good community support.

Artificial Intelligent Technology for safe driver assistance system

This paper mainly studies artificial intelligent technology for safe driver assistance. Intelligent vehicle (IV) the system the capacity of AI to control the cars is difficult to overestimate. For example, unmanned machines require onboard systems that can handle a huge amount of data from the surveillance cameras, sensors, navigators, sensors measure the distance, etc. Of course, to recognise and analyse thousands of requests, speed limit transmitted from placed transmitters in the road, to a receiver mounted inside the car somewhere on the dashboard of the vehicle and is a digital display indicating the current speed limit and the current car speed. This gave the driver a time to worry about other driving limitations, which carry out a safety driving in roads and not exceed a speed limit in them. As a result of using this device, we avoid the car accidents caused by exceeding the speed limit, traffic fouls by radars, and traffic fines.

A close examination of speed limit credibility and compliance on UK roads

Speed is at the core of the road safety problem and speed management is a tool for road safety. Speed limits that are more credible are supposed to encourage drivers to comply with speed limits, with consequent benefits for road safety. Credible speed limit has been found to be affected by the features of the road surroundings in previous research. This study investigated, by using a questionnaire, whether or not the current legal speed limit is credible on a variety of current UK road environments and what the difference is between the proposed speed limit and the chosen, self-reported driving speed. The survey result revealed that road layout and the roadside environment affected the intrinsic perception of choice of speed and speed limit. Chosen speed limit and proposed speed are not identical but are related with each other. The higher the speed limit drivers perceived, the higher speed they tended to drive.

Road lighting automation scenarios depending on traffic speed and volume

In this study, experimental studies that the authors have previously performed on a test road for fixed observer conditions to determine the visibility levels are extended to the moving observer position. As a result of the measurements and tests, when the vehicle speed is constant at the current speed limits for urban roads, it has been seen that the visibility level values in the calculation area remain within the acceptable limits and changing the luminous fluxes will not significantly change the visual performance of the drivers up to two lower lighting classes. It has been shown that the light level can be reduced to create two additional classes besides the current one when the traffic density decreases, at the times when vehicle speeds do not decrease. The results are applied as a case study on the Cendere Street. Road lighting classes are determined according to the EN 13201-1 Technical Report. Road lighting classes that can be applied at different times in the Cendere Street change between M3 and M5 according to the average speed of the passing vehicles, traffic density, road and ambient conditions. It is estimated that about 40% energy saving can be achieved when a lighting automation system is installed.