The Optimal trigger speed of vehicle activated signs

The thesis aims to elaborate on the optimum trigger speed for Vehicle Activated Signs (VAS) and to study the effectiveness of VAS trigger speed on drivers’ behaviour. Vehicle activated signs (VAS) are speed warning signs that are activated by individual vehicle when the driver exceeds a speed threshold. The threshold, which triggers the VAS, is commonly based on a driver speed, and accordingly, is called a trigger speed. At present, the trigger speed activating the VAS is usually set to a constant value and does not consider the fact that an optimal trigger speed might exist. The optimal trigger speed significantly impacts driver behaviour. In order to be able to fulfil the aims of this thesis, systematic vehicle speed data were collected from field experiments that utilized Doppler radar. Further calibration methods for the radar used in the experiment have been developed and evaluated to provide accurate data for the experiment. The calibration method was bidirectional; consisting of data cleaning and data reconstruction. The data cleaning calibration had a superior performance than the calibration based on the reconstructed data. To study the effectiveness of trigger speed on driver behaviour, the collected data were analysed by both descriptive and inferential statistics. Both descriptive and inferential statistics showed that the change in trigger speed had an effect on vehicle mean speed and on vehicle standard deviation of the mean speed. When the trigger speed was set near the speed limit, the standard deviation was high. Therefore, the choice of trigger speed cannot be based solely on the speed limit at the proposed VAS location. The optimal trigger speeds for VAS were not considered in previous studies. As well, the relationship between the trigger value and its consequences under different conditions were not clearly stated. The finding from this thesis is that the optimal trigger speed should be primarily based on lowering the standard deviation rather than lowering the mean speed of vehicles. Furthermore, the optimal trigger speed should be set near the 85th percentile speed, with the goal of lowering the standard deviation.

Speed prediction for triggering vehicle activated signs

Accurate speed prediction is a crucial step in the development of a dynamic vehcile activated sign (VAS). A previous study showed that the optimal trigger speed of such signs will need to be pre-determined according to the nature of the site and to the traffic conditions. The objective of this paper is to find an accurate predictive model based on historical traffic speed data to derive the optimal trigger speed for such signs. Adaptive neuro fuzzy (ANFIS), classification and regression tree (CART) and random forest (RF) were developed to predict one step ahead speed during all times of the day. The developed models were evaluated and compared to the results obtained from artificial neural network (ANN), multiple linear regression (MLR) and naïve prediction using traffic speed data collected at four sites located in Sweden. The data were aggregated into two periods, a short term period (5-min) and a long term period (1-hour). The results of this study showed that using RF is a promising method for predicting mean speed in the two proposed periods.. It is concluded that in terms of performance and computational complexity, a simplistic input features to the predicitive model gave a marked increase in the response time of the model whilse still delivering a low prediction error.

A data driven approach for automating vehicle activated signs

Vehicle activated signs (VAS) display a warning message when drivers exceed a particular threshold. VAS are often installed on local roads to display a warning message depending on the speed of the approaching vehicles. VAS are usually powered by electricity; however, battery and solar powered VAS are also commonplace. This thesis investigated devel-opment of an automatic trigger speed of vehicle activated signs in order to influence driver behaviour, the effect of which has been measured in terms of reduced mean speed and low standard deviation. A comprehen-sive understanding of the effectiveness of the trigger speed of the VAS on driver behaviour was established by systematically collecting data. Specif-ically, data on time of day, speed, length and direction of the vehicle have been collected for the purpose, using Doppler radar installed at the road. A data driven calibration method for the radar used in the experiment has also been developed and evaluated. Results indicate that trigger speed of the VAS had variable effect on driv-ers’ speed at different sites and at different times of the day. It is evident that the optimal trigger speed should be set near the 85th percentile speed, to be able to lower the standard deviation. In the case of battery and solar powered VAS, trigger speeds between the 50th and 85th per-centile offered the best compromise between safety and power consump-tion. Results also indicate that different classes of vehicles report differ-ences in mean speed and standard deviation; on a highway, the mean speed of cars differs slightly from the mean speed of trucks, whereas a significant difference was observed between the classes of vehicles on lo-cal roads. A differential trigger speed was therefore investigated for the sake of completion. A data driven approach using Random forest was found to be appropriate in predicting trigger speeds respective to types of vehicles and traffic conditions. The fact that the predicted trigger speed was found to be consistently around the 85th percentile speed justifies the choice of the automatic model.

Mobile app reading speed test

Aim: To validate the accuracy and repeatability of a mobile app reading speed test compared with the traditional paper version. Method: Twenty-one subjects wearing their full refractive correction glasses read 14 sentences of decreasing print size between 1.0 and -0.1 logMAR, each consisting of 14 words (Radner reading speed test) at 40 cm with a paper-based chart and twice on iPad charts. Time duration was recorded with a stop watch for the paper chart and on the App itself for the mobile chart allowing critical print size (CPS) and optimal reading speed (ORS) to be derived objectively. Results: The ORS was higher for the mobile app charts (194±29 wpm; 195±25 wpm) compared with the paper chart (166±20 wpm; F=57.000, p<0.001). The CPS was lower for the mobile app charts (0.17±0.20 logMAR; 0.18±0.17 logMAR) compared with the paper chart (0.25±0.17 logMAR; F=5.406, p=0.009). The mobile app test had a mean difference repeatability of 0.30±22.5 wpm, r=0.917 for ORS, and a CPS of 0.0±0.2 logMAR, r=0.769. Conclusions: Repeatability of the app reading speed test is as good (ORS) or better (CPS) than previous studies on the paper test. While the results are not interchangeable with paper-based charts, mobile app tablet-based tests of reading speed are reliable and rapid to perform, with the potential to capture functional visual ability in research studies and clinical practice.

Optimization of energy consumption in wastewater pumping

Pumppauksessa arvioidaan olevan niin teknisesti kuin taloudellisestikin huomattavia mahdollisuuksia säästää energiaa. Maailmanlaajuisesti pumppaus kuluttaa lähes 22 % sähkö-moottorien energiantarpeesta. Tietyillä teollisuudenaloilla jopa yli 50 % moottorien käyttämästä sähköenergiasta voi kulua pumppaukseen. Jäteveden pumppauksessa pumppujen toiminta perustuu tyypillisesti on-off käyntiin, jolloin pumpun ollessa päällä se käy täydellä teholla. Monissa tapauksissa pumput ovat myös ylimitoitettuja. Yhdessä nämä seikat johtavat kasvaneeseen energian kulutukseen. Työn teoriaosassa esitellään perusteet jätevesihuollosta ja jäteveden käsittelystä sekä pumppaussysteemin pääkomponentit: pumppu, putkisto, moottori ja taajuusmuuttaja. Työn empiirisessä osassa esitellään työn aikana kehitetty laskuri, jonka avulla voidaan arvioida energiansäästöpotentiaalia jäteveden pumppaussysteemeissä. Laskurilla on mandollista laskea energiansäästöpotentiaali käytettäessä pumpun tuoton ohjaustapana pyörimisnopeuden säätöä taajuusmuuttajalla on-off säädön sijasta. Laskuri ilmoittaa optimaalisimmanpumpun pyörimisnopeuden sekä ominaisenergiankulutuksen. Perustuen laskuriin, kolme kunnallista jätevedenpumppaamoa tutkittiin. Myös laboratorio-testitsuoritettiin laskurin simuloimiseksi sekä energiansäästöpotentiaalin arvioimiseksi. Tutkimukset osoittavat, että jätevedenpumppauksessa on huomattavia mandollisuuksia säästää energiaa pumpun pyörimisnopeutta pienentämällä. Geodeettisen nostokorkeuden ollessa pieni, voidaan energiaa säästää jopa 50 % ja pitkällä aikavälillä säästö voi olla merkittävä. Tulokset vahvistavat myös tarpeen jätevedenpumppaussysteemien toiminnan optimoimiseksi.

Epäpuhtauksien optinen laskenta sulpusta

Työn tarkoituksena oli hakea mittausjärjestelmän raja-arvoja optiselle kamerapohjaiselle roskalaskentajärjestelmälle sekä testata roskalaskentajärjestelmän toimivuus käytännössä. Tavoitteena oli tuotteistaa kamerapohjainen roskalaskenta-analyysi palvelutuotteeksi, jota voitaisiin hyödyntää sihtien kuntokartoituksessa ja ongelmanratkaisuvälineenä. Teoriaosa koostui kahdesta kokonaisuudesta: sulpun epäpuhtauksista, roskalaskennan teoriasta ja epäpuhtauksien mittausmenetelmistä sekä markkinoinnista, tuotteistamis- ja lanseerausprosessista palvelutuotteen näkökulmasta. Kokeellisessa osassa selvitettiin kamerapohjaiseen roskalaskentaanalyysiin vaikuttavia tekijöitä: kameran tarkennus, kuvan terävyys, analysoitavan arkin väri, neliömassa ja roskapitoisuus, impregnointi, valonlähde, kuvan muokkaus, tiedostomuoto ja pikselimäärä. Kamerapohjaisen roskalaskenta-analyysin soveltuvuus käytäntöön testattiin tehdasesimerkin avulla. Havaittiin, että kamerapohjaista roskalaskenta-analyysiä voitaisiin käyttää lähes kaikille massatyypeille. Työssä määriteltiin kalibrointimenetelmä kameran tarkentamiseksi arkin tasoon sekä suljinnopeusanalyysi massatyypistä riippuvan suljinnopeuden selvitykseen. Kamerapohjaisessa roskalaskenta-analyysissä määritettiin käytettäväksi arkin neliömassana 60 g/m2, suljinaukkoa F5 ja terävyysasetusta 5. Tulokseksi saatiin, että analysoitavia arkkeja ei tarvitse impregnoida tai jälkikäsitellä. Korrelaatiota Somerville-erotustehokkuuteen ei löytynyt. Esimerkkitehtaasta selvitettiin primääriportaan roskapitoisuudet ja erotustehokkuudet. Tehdasesimerkin tulosten perusteella havaittiin happivaiheen ja D0-vaiheen olleen tehokkaimpia epäpuhtauksien poistajia.

Vuotovesien merkitys jätevesihuollossa

Yleisimmät viemäröintijärjestelmät ovat erillisviemäröinti ja sekaviemäröinti. Erillisviemä-röinnissä jäte- ja hulevedet johdetaan omissa verkostoissa. Sekaviemäröinnissä kaikki viemä-röitävät vedet virtaavat samassa verkostossa. Vuotoveden osuus jätevesiviemäriverkostossa virtaavasta jätevedestä on keskimäärin yli 30 prosenttia. Vuotovesiselvityksen avulla pyritään selvittämään vuotoveden esiintymisalueet ja mahdolliset vuotokohteet. Mallintamalla laadittu selvitys tarjoaa mahdollisuuden tarkastella verkostoa kokonaisuutena ja erilaisissa käyttötilan-teissa. Tämä työ perustuu Joensuun kantakaupungin viemäriverkostosta mallintamalla laadit-tuun vuotovesiselvitykseen. Työssä on tarkoitus selvittää vuotovesistä aiheutuvan lisäener-giantarpeen ja kasvihuonekaasupäästöjen kasvua sekä pohtia verkoston omistussuhteiden, sään ääri-ilmiöiden ja taajuusmuuttajien vaikutuksia vuotovesien hallintaan. Lisäksi selvitetään voidaanko tuloksista tehdä valtakunnallisia yleistyksiä. Joensuun viemäriverkostossa jätevesien pumppaukseen käytetystä energiasta noin 43 prosent-tia kuluu vuotovesien pumppaukseen. Siitä aiheutuu vuosittain 480 MWh:n lisäenergiantarve, joka johtaa 106 tonnin hiilidioksidipäästöihin. Lisäenergiantarpeesta aiheutuva hiilidioksidi-päästö on pieni liikenteen aiheuttamaan päästöön verrattuna. Saneerauksilla voidaan saavuttaa 60 prosentin vähennys vuotovesimäärään. Tavoitteeksi tulisi asettaa keskusta-alueella olevien sekaviemäreiden korvaaminen erillisviemäreillä esimerkiksi lähimmän 10 vuoden aikana ja vuotovesimäärän yleinen vähentäminen koko verkoston alueella. Ilmastonmuutoksen myötä yleistyvät rankkasateet lisäävät vuotovesimäärää etenkin sekaviemäröidyillä alueilla. Tämä korostaa sekaviemäröidyn verkoston korjaustoimenpiteiden tärkeyttä. Taajuusmuuttajien yleistyvä käyttö tasaa haitallisia virtaamapiikkejä. Optimaaliseksi säädetty pyörimisnopeus pienentää merkittävästi pumppujen energiankulutusta. Työstä saadut tulokset ovat valtakun-nallisella tasolla suuntaa antavia. Tarkemmat yleistykset vaativat useista erikokoisista verkos-toista tehtyjen vuotovesiselvitystulosten analysointia.

Triggering Solar-Powered Vehicle Activated Signs using Self Organising Maps with K-means

Solar-powered vehicle activated signs (VAS) are speed warning signs powered by batteries that are recharged by solar panels. These signs are more desirable than other active warning signs due to the low cost of installation and the minimal maintenance requirements. However, one problem that can affect a solar-powered VAS is the limited power capacity available to keep the sign operational. In order to be able to operate the sign more efficiently, it is proposed that the sign be appropriately triggered by taking into account the prevalent conditions. Triggering the sign depends on many factors such as the prevailing speed limit, road geometry, traffic behaviour, the weather and the number of hours of daylight. The main goal of this paper is therefore to develop an intelligent algorithm that would help optimize the trigger point to achieve the best compromise between speed reduction and power consumption. Data have been systematically collected whereby vehicle speed data were gathered whilst varying the value of the trigger speed threshold. A two stage algorithm is then utilized to extract the trigger speed value. Initially the algorithm employs a Self-Organising Map (SOM), to effectively visualize and explore the properties of the data that is then clustered in the second stage using K-means clustering method. Preliminary results achieved in the study indicate that using a SOM in conjunction with K-means method is found to perform well as opposed to direct clustering of the data by K-means alone. Using a SOM in the current case helped the algorithm determine the number of clusters in the data set, which is a frequent problem in data clustering.

Der Einfluss kinematischer Parameter auf den Energiebedarf eines Regalbediengerätes

Bisher wurde noch nicht erforscht wie sich die Variation kinematischer Parameter konkret auf den Energiebedarf von Regalbediengeräten auswirkt. Dieser Beitrag untersucht daher die energetischen Folgen bei unterschiedlichen Geschwindigkeiten und Beschleunigungen der Antriebe eines Regalbediengerätes. Veränderte Geschwindigkeiten und Beschleunigungen beeinflussen jedoch auch die Fahr- und Hubzeiten des Regalbediengerätes. Daher wird ebenfalls eine Berechnungsmethode vorgestellt, mit der der optimale Startpunkt des Hubwerkes und die optimale Fahrgeschwindigkeit auf Basis der eingestellten kinematischen Parameter berechnet werden können.

Leakage and temperature aware server control for improving energy efficiency in data centers

Reducing the energy consumption for computation and cooling in servers is a major challenge considering the data center energy costs today. To ensure energy-efficient operation of servers in data centers, the relationship among computa- tional power, temperature, leakage, and cooling power needs to be analyzed. By means of an innovative setup that enables monitoring and controlling the computing and cooling power consumption separately on a commercial enterprise server, this paper studies temperature-leakage-energy tradeoffs, obtaining an empirical model for the leakage component. Using this model, we design a controller that continuously seeks and settles at the optimal fan speed to minimize the energy consumption for a given workload. We run a customized dynamic load-synthesis tool to stress the system. Our proposed cooling controller achieves up to 9% energy savings and 30W reduction in peak power in comparison to the default cooling control scheme.

Optimal brake specific fuel consumption trajectory for stand-alone variable speed Diesel Gen-Set

Energy efficiency plays an important role to the CO2 emissions reduction, combating climate change and improving the competitiveness of the economy. The problem presented here is related to the use of stand-alone diesel gen-sets and its high specific fuel consumptions when operates at low loads. The variable speed gen-set concept is explained as an energy-saving solution to improve this system efficiency. This paper details how an optimum fuel consumption trajectory based on experimentally Diesel engine power map is obtained.

Optimal span length in high-speed transmission systems with hybrid Raman-erbium-doped fiber amplification

We show, using nonlinearity management, that the optimal performance in high-bit-rate dispersion-managed fiber systems with hybrid amplification is achieved for a specific amplifier spacing that is different from the asymptotically vanishing length corresponding to ideally distributed amplification [Opt. Lett. 15, 1064 (1990)]. In particular, we prove the existence of a nontrivial optimal span length for 40-Gbit/s wavelength-division transmission systems with Raman-erbium-doped fiber amplification. Optimal amplifier lengths are obtained for several dispersion maps based on commonly used transmission fibers. © 2005 Optical Society of America.

Optimal span length in high-speed transmission systems with hybrid Raman/EDFA amplification

The existence of an optimal span length for 40 Gbit/s WDM transmission systems with hybrid Raman/EDFA amplification is demonstrated. Optimal lengths are obtained for specific amplifier configurations and different fibre arrangements based on SSMF/DCF and SLA/IDF implementation, using a simple nonlinearity management theory.

The effect of agitation speed, enzyme loading and substrate concentration on enzymatic hydrolysis of cellulose from brewer`s spent grain

Brewer`s spent grain components (cellulose, hemicellulose and lignin) were fractionated in a two-step chemical pretreatment process using dilute sulfuric acid and sodium hydroxide solutions. The cellulose pulp produced was hydrolyzed with a cellulolytic complex, Celluclast 1.5 L, at 45 degrees C to convert the cellulose into glucose. Several conditions were examined: agitation speed (100, 150 and 200 rpm), enzyme loading (5, 25 and 45 FPU/g substrate), and substrate concentration (2, 5 and 8% w/v), according to a 2(3) full factorial design aiming to maximize the glucose yield. The obtained results were interpreted by analysis of variance and response surface methodology. The optimal conditions for enzymatic hydrolysis of brewer`s spent grain were identified as 100 rpm, 45 FPU/g and 2% w/v substrate. Under these conditions, a glucose yield of 93.1% and a cellulose conversion (into glucose and cellobiose) of 99.4% was achieved. The easiness of glucose release from BSG makes this substrate a raw material with great potential to be used in bioconversion processes.

Optimal slopes and speeds in uphill ski mountaineering: a laboratory study.

The purpose of this study was to estimate the energy cost of linear (EC) and vertical displacement (ECvert), mechanical efficiency and main stride parameters during simulated ski mountaineering at different speeds and gradients, to identify an optimal speed and gradient that maximizes performance. 12 subjects roller skied on a treadmill at three different inclines (10, 17 and 24 %) at three different speeds (approximately 70, 80 and 85 % of estimated peak heart rate). Energy expenditure was calculated by indirect calorimetry, while biomechanical parameters were measured with an inertial sensor-based system. At 10 % there was no significant change with speed in EC, ECvert and mechanical efficiency. At 17 and 24 % the fastest speed was significantly more economical. There was a significant effect of gradient on EC, ECvert and mechanical efficiency. The most economical gradient was the steepest one. There was a significant increase of stride frequency with speed. At steep gradients only, relative thrust phase duration decreased significantly, while stride length increased significantly with speed. There was a significant effect of gradient on stride length (decrease with steepness) and relative thrust phase duration (increase with steepness). A combination of a decreased relative thrust phase duration with increased stride length and frequency decreases ECvert. To minimize the energy expenditure to reach the top of a mountain and to optimize performance, ski-mountaineers should choose a steep gradient (~24 %) and, provided they possess sufficient metabolic scope, combine it with a fast speed (~6 km h(-1)).