Traffic Volume Data Research Articles

ONP-Miner: One-off Negative Sequential Pattern Mining

Negative sequential pattern mining (SPM) is an important SPM research topic. Unlike positive SPM, negative SPM can discover events that should have occurred but have not occurred, and it can be used for financial risk management and fraud detection. However, existing methods generally ignore the repetitions of the pattern and do not consider gap constraints, which can lead to mining results containing a large number of patterns that users are not interested in. To solve this problem, this article discovers frequent one-off negative sequential patterns (ONPs). This problem has the following two characteristics. First, the support is calculated under the one-off condition, which means that any character in the sequence can only be used once at most. Second, the gap constraint can be given by the user. To efficiently mine patterns, this article proposes the ONP-Miner algorithm, which employs depth-first and backtracking strategies to calculate the support. Therefore, ONP-Miner can effectively avoid creating redundant nodes and parent-child relationships. Moreover, to effectively reduce the number of candidate patterns, ONP-Miner uses pattern join and pruning strategies to generate and further prune the candidate patterns, respectively. Experimental results show that ONP-Miner not only improves the mining efficiency but also has better mining performance than the state-of-the-art algorithms. More importantly, ONP mining can find more interesting patterns in traffic volume data to predict future traffic.

Data-Driven Sustainability Validation of Winter Traffic Model through Spatial Transferability of the Model’s Parameters between Functionally Homogeneous and Heterogeneous Highway Segments

Transportation agencies in the cold region are responsible for developing winter traffic models and verifying their sustainability to save financial and human resources while enhancing the suitability of the developed models. To do this, they operate traffic monitoring sites to collect traffic volume and loading data in their network using technologies such as permanent traffic counters (PTCs) and weigh-in-motion (WIM). None of the previous studies have conducted spatial transferability of the winter traffic models’ parameters between homogeneous and heterogeneous road segments during the winter season. This research pursues this using traffic data collected from six WIM sites in Alberta, Canada. Winter traffic models were developed for two WIM sites that serve commuter traffics. The other four WIM sites serving different travel populations besides commuter traffic were exhaustively utilized to test the developed models. The raw WIM data were aggregated into three vehicle types to develop winter traffic models by associating traffic data with climatic information. Two spatial transferability tests for the developed models were designed and carried out. The first test was conducted between the two modeling sites for which the winter traffic models were developed. The first experiment pursued a cross-spatial transferability test between homogeneous road segments. The second experiment tested the transferability of model parameters between heterogeneous road segments that represent a different road function other than commuter type. The models’ parameters developed for the two commuter segments were transferred to the other four sites to test their spatial transferability. This research has demonstrated that the winter traffic models developed for the roads serving one specific travel population can be transferred with high accuracy to homogeneous and heterogeneous road segments. It revealed that a more suitable model structure could be selected for each site and vehicle class, considering the accuracy of the test results. This research contributes to planning and designing traffic monitoring or weighing site deployment to save financial and human resources.

Analisis Lalu Lintas Terhadap Kapasitas Jalan Jolotundo Kota Semarang

<em>Road capacity is the ability of road sections to accommodate ideal traffic flow or volume in a certain unit of time, expressed in the number of vehicles passing through a certain road section in one hour. The purpose of this study is to determine the performance of road traffic by calculating passing vehicles, road geometric conditions and environmental conditions. The study conducted in this research is conducted on the Jolotundo road section of Semarang city with the aim of calculating capacity and level of service, namely by conducting surveys (starting from 06.00 - 09.00 and 15.00 - 18.00), the data obtained are traffic volume data, vehicle speed and road geometric data. The data processing was carried out using the 1997 Indonesian Road Capacity Manual (MKJI) method where the degree of saturation (DS) as an indicator of traffic behavior on the Jolotundo section of Semarang City. From the results of the survey data processing, the capacity value on this road section is 1543.25 smp/hour and the level of service at LOS C with a value of 0.49, which means that the traffic volume on the Jolotundo road section currently has a stable flow, but the speed and movement of vehicles are controlled.</em>

Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

ABSTRACT Traffic volume data collected by radar detector contain inherent types of errors that are hard to observe. Therefore, the identification of missing data and outliers based on reliable verification volume data is essential, and the development of a methodology for correcting detector traffic data while considering various specificities at the detector installation sites is required. This study proposed a deep-learning-based long short-term memory–multiple linear regression (LSTM–MLR) hybrid model. First, the corrected detector traffic volume was calculated via the MLR model after the preprocessing of the missing and outlier detector traffic volumes. Second, the corrected radar detector traffic volume was learned via the LSTM model to predict the detector traffic volume for the target time periods. The results confirmed a correction effect in terms of radar detector traffic volume data at most of the 30 target sites. The results of this study provide three contributions. First, the missing and outlier traffic volume correction algorithm is easy to apply and can be applied to traffic volume data collected from various detectors. Second, the MLR model developed in this study derived a causal relationship between the traffic volume of the detector and the complex factors that could not reveal the obvious cause, such as the undetected small car driving next to a large vehicle and the radio transmission/reception problem. Third, complex neural networks and dropout techniques to avoid overfitting do not necessarily improve prediction accuracy.

Estimating Link Flows in Road Networks With Synthetic Trajectory Data Generation: Inverse Reinforcement Learning Approach

While traffic volume data from loop detectors have been the common data source for link flow estimation, the detectors only cover a subset of links. These days, other data sources such as vehicle trajectory data collected from vehicle tracking sensors are also incorporated. However, trajectory data are often sparse in that the observed trajectories only represent a small subset of the whole population, where the exact route sampling rate is unknown and may vary over space and time. In this paper, we develop a method that leverage these two limited data sources to enhance link flow estimation. This study proposes a novel generative modelling framework, where we formulate a vehicle’s link-to-link movements as a sequential decision-making problem using the Markov Decision Process framework. We propose an Inverse Reinforcement Learning-based method, based on which synthetic population vehicle trajectories can be generated to estimate link flows across the whole network. The proposed method ensures the generated population vehicle trajectories are consistent with the observed traffic volume and trajectory data. The proposed generative modelling framework is compared to two existing methods in a synthetic road network and validated in a real road network.

Prediction of Traffic Volume of Motor Vehicles Based on Mobile Phone Signaling Technology

Urban traffic volume detection is an essential part of traffic planning in terms of urban planning in China. To improve the statistics efficiency of road traffic volume, this thesis proposes a method for predicting motor vehicle traffic volume on urban roads in small and medium-sized cities during the traffic peak hour by using mobile signal technology. The method is verified through simulation experiments, and the limitations and the improvement methods are discussed. This research can be divided into three parts: Firstly, the traffic patterns of small and medium-sized cities are obtained through a questionnaire survey. A total of 19745 residents were surveyed in Luohe, a medium-sized city in China and five travel modes of local people were obtained. Secondly, after the characteristics of residents’ rest and working time are investigated, a method is proposed in this study for the distribution of urban residential and working places based on mobile phone signaling technology. Finally, methods for predicting traffic volume of these travel modes are proposed after the characteristics of these travel modes and methods for the distribution of urban residential and working places are analyzed. Based on the actual traffic volume data observed at offline intersections, the project team takes Luohe city as the research object and it verifies the accuracy of the prediction method by comparing the prediction data. The prediction simulation results of traffic volume show that the average error rate of traffic volume is unstable. The error rate ranges from 10% to 30%. In this thesis, simulation experiments and field investigations are adopted to analyze why these errors occur.

The Impact On Street Parking At Jalan Alianyang Kota Pontianak

The development of activities on Jalan Alianyang, Kota Pontianak causes problems,namely the decrease in mobility on the road. This is due to the unavailability of a separateparking area for each of the facilities mentioned above, so parking is carried out using theroad. This causes a reduction in road capasity and causes a decrease in speed for passingvehicles. The purpose of this study is to determine the condition of parking on JalanAlianyang Pontianak in the form of available parking spaces, and the parkingcharacteristics of vehicle owners, to determine the magnitude of side friction due to onstreet parking, getting a road performance value by considering on street parking. Themethod used is based on MKJI (1997) and the Technical Guidelines of the DirectorateGeneral of Land Transportation (1998). Data collection in this study includes primary dataobtained from survey research in the field which includes geometric data on JalanAlianyang, traffic volume data, vehicle speed data, side friction data, and patrol parkingdata. The secondary data was obtained from the Mayor's Decree on Pontianak City Roadon Parking in Kota Pontianak and data from the Pontianak City Population and CivilRegistration Agency. The study was conducted for 4 days on June 24 to 27, 2022 on theJalan Alianyang segment between Jalan Pangeran Natakusuma and Jalan Suwignyo from06.00 to 21.00 WIB. From the results of the analysis can be concluded that the highestaccumulation of hourly parking on weekdays 45 motorcycles and 30 cars, on weekends40 motorcycles and 12 cars. The largest parking volume on weekdays is 1043 vehicles, onweekends is 780 vehicles. The highest average parking index along 200 m is 80% whichmeans that not all road segments are used as parking lots. The performance of road sectionswithout on street parking shows a level of service C and a degree of saturation of 0.45.Meanwhile, with the influence of on street parking with a level of service F and a degreeof saturation of 1.01. Based on parking needs, it can be considered using one side of theroad with good parking management so that parking and mobility needs can be balanced.

The Impact On Street Parking At Jalan Alianyang Kota Pontianak

The development of activities on Jalan Alianyang, Kota Pontianak causes problems,namely the decrease in mobility on the road. This is due to the unavailability of a separateparking area for each of the facilities mentioned above, so parking is carried out using theroad. This causes a reduction in road capasity and causes a decrease in speed for passingvehicles. The purpose of this study is to determine the condition of parking on JalanAlianyang Pontianak in the form of available parking spaces, and the parkingcharacteristics of vehicle owners, to determine the magnitude of side friction due to onstreet parking, getting a road performance value by considering on street parking. Themethod used is based on MKJI (1997) and the Technical Guidelines of the DirectorateGeneral of Land Transportation (1998). Data collection in this study includes primary dataobtained from survey research in the field which includes geometric data on JalanAlianyang, traffic volume data, vehicle speed data, side friction data, and patrol parkingdata. The secondary data was obtained from the Mayor's Decree on Pontianak City Roadon Parking in Kota Pontianak and data from the Pontianak City Population and CivilRegistration Agency. The study was conducted for 4 days on June 24 to 27, 2022 on theJalan Alianyang segment between Jalan Pangeran Natakusuma and Jalan Suwignyo from06.00 to 21.00 WIB. From the results of the analysis can be concluded that the highestaccumulation of hourly parking on weekdays 45 motorcycles and 30 cars, on weekends40 motorcycles and 12 cars. The largest parking volume on weekdays is 1043 vehicles, onweekends is 780 vehicles. The highest average parking index along 200 m is 80% whichmeans that not all road segments are used as parking lots. The performance of road sectionswithout on street parking shows a level of service C and a degree of saturation of 0.45.Meanwhile, with the influence of on street parking with a level of service F and a degreeof saturation of 1.01. Based on parking needs, it can be considered using one side of theroad with good parking management so that parking and mobility needs can be balanced.

ANALISIS KINERJA LALU LINTAS JL. RAYA MR. MOCH. ICHSAN, KOTA SEMARANG (DEPAN PINTU KELUAR MASUK RS. PERMATA MEDIKA)

Semarang is one of the metropolitan. Traffic on Jl. Raya Mr Moch. Ichsan in front of the Permata Medika hospital, which is fairly crowded, is due to the influence of the hospital's activities. Many activities are seen at the entrance and exit of the hospital, including crossing. The purpose of this study was to analyze traffic performance, determine the factors that hinder traffic flow, determine the volume, travel time, and vehicle delay time due to u-turns at the median opening in front of the hospital entrance. Medical Gems. Traffic volume data collection was carried out for 3 days, namely weekdays, short days. and holidays using the 2014 PKJI method (referring to the reference to the 1997 MKJI basic rules). The results of the observations obtained are that the total current is 6201 cur/hour with the side resistance weight being at a moderate level. By following the 2014 PKJI guidelines, we get the adjustment values ​​for Free Flow Speed ​​(VB) = 61 km/hour and Capacity (C) = 7128 skr/hour. With a value of DJ = 0.869 cur/hour, it is at LOS level E which according to PKJI 2014 (referring to the reference to the 1997 MKJI basic rules) the level of road service is above the average for the maximum service level, namely levels A to D with a degree of saturation value of 0.00 - 0.84. Strict action from the relevant officers is needed by controlling existing traffic signs such as parking is prohibited in order to maximize the function of the existing road capacity.

Engineering and Traffic Management Study for the Operation of the Makassar Elevated Toll Road

The development of the area, especially the city of Makassar, has a significant impact on traffic activities which causes traffic problems. For this reason, this study aims to see how much influence the operation of the Makassar elevated toll road has on the surrounding traffic, especially at the intersection of Jln. A.P. Pettarani - Jln. Boulevard and Jln A.P. Pettarani - Jln. Let. Jend. Hertasning. The data required in this study include surveys of traffic volume, vehicle speed, queue length, and geometric road data conducted on Tuesdays, Wednesdays, Saturdays, and Sundays, with survey periods starting at 07.00 – 09.00, 12.00 – 14.00, and 16.00 – 18.00. Engineering studies in the form of traffic simulations using vision software. From the results of traffic simulations on Wednesday, there were three intersections with the most significant queue length occurring at 16.00-18.00, namely the Boulevard short of 273.85 meters on Wednesday and 222.71 meters on Saturday. The application of a traffic design with an alternative change in traffic signal time at the A.P. Pettarani-Boulevard interchange was reduced by 26.21 meters and 23.75 meters from the existing conditions on Wednesday and Saturday. And for the alternative application of changing the direction of traffic movement at the A.P. Pettarani – Let. Jend. Hertasning, the decrease in the length of vehicle queues on Boulevard short was 21.31 meters and 17.56 from the existing conditions on Wednesday and Saturday.

Evaluation of low traffic neighbourhood (LTN) impacts on NO2 and traffic

• Generalised difference in differences is used to examine effects of LTN. • LTNs reduced NO 2 both within intervention areas (5.7%) and in boundary areas (8.9%) • Traffic volumes were reduced by 58.2% within LTNs and by 13.4% at LTN boundary sites. Traffic restriction measures may create safer and healthier places for community members but may also displace traffic and air pollution to surrounding streets. Effective urban planning depends on understanding the magnitude of changes resulting from policy measures, both within and surrounding intervention areas; these are largely unstudied in the case of Low traffic Neighbourhoods (LTN). We evaluated impacts of three LTNs in the London Borough of Islington, UK, on air pollution and traffic flows in and around intervention areas, based on monthly Nitrogen Dioxide (NO 2 ) and traffic volume data provided by the local authority. We identified pre- and post-intervention monitoring periods and intervention, boundary and control sites. We then adapted the generalised difference in differences approach to evaluate the effects within LTNs and at their boundary. We found that LTNs have the potential to substantially reduce air pollution and traffic in target areas, without increasing air pollution or traffic volumes in surrounding streets. These results provide sound arguments in favour of LTNs to promote health and wellbeing in urban communities.

Solution for Reduction of Traffic Congestion: A Case Study of Intersection on Badlapur- Katai Road

Abstract: The increasing vehicular traffic on roads is growing issue in today’s life. This leads to the congestion on the streets and degrades safe and efficient movement of traffic. This is becoming an important issue in the urban premises. It is observed that traffic congestions take place majorly at the intersections where the entering and exiting traffic from the towns to the highways creates conflicts due to improper movement. This study intended to examine flow of traffic at an intersection on Badlapur – Katai road in state of Maharashtra. The location is a part suburban areas of Mumbai metropolitan city. The Majority population is of working class also the industrial development in this area is high due to MIDC and thus the road carries huge traffic during peak hours. The study comprises of collection of the current traffic volume data, projection of the traffic for next 20 years and analysing the intersection for its serviceability. The outcomes may show the requirement of improvement of intersection as grade separated intersection.

Regional Electric Vehicle Fast Charging Network Design Using Common Public Data

Electric vehicles rely on public fast charging when traveling outside a single charge range. Networks of fast charging hubs are a preferred solution, but should be deployed according to a design that avoids both redundant infrastructure representing overinvestment, and “charging deserts” which limit travel by EVs and thus inhibit EV adoption. We present a two-stage design strategy for a network of charging hubs relying on common public data including maps of roadways and electrical systems, and ubiquitous and readily accessible daily traffic volume data. First, the network design is based on the electrical distribution system, roadways, and a target inter-hub driving distance. Second, the number of fast chargers necessary at each hub to support expected vehicle kilometers is determined such that queuing to charge is infrequent. A case study to prepare Nova Scotia, Canada for the 2030 electric fleet of 15% of vehicles results in a network design with an average hub catchment area of 1230 km2 and 354 electric vehicles per fast charger, and ensures that they are equitably distributed and can enable travel by EV throughout the jurisdiction.

Natural experimental study of no car zones implemented outside schools: potential and lessons learnt

IntroductionWalking and cycling can be beneficial to health. Restrictions for motor vehicles outside schools could be one way to encourage activity but few evaluations exist. We aimed to explore the potential of such a scheme on children's active commuting, intervention mechanisms, and the utility of routinely collected data for evaluation. MethodsRestricted access for motor vehicles on road sections directly outside two Cambridge schools (one primary school [5–11 years] and one secondary school [11–16 years]) were implemented in April 2021. Teachers conducted hands-up travel surveys in March and May, 2021. All schools had facilities for storing bikes. Online surveys were distributed to parents, staff, local residents, and business owners between May and July, 2021, to assess travel behaviours and perceptions. We conducted observations at schools and interviews with a survey subsample to gain insights into intervention mechanisms, analysed using a thematic approach. Data for air quality and traffic volumes were available from February to September, 2021. Findings457 respondents completed the online survey, 13 interviews were conducted, and 40 classes completed both hands-up surveys. 18 (15%) of 117 primary school children and 30 (68%) of 44 secondary school children travelled to school without adult supervision according to parental reports. Hands-up survey data indicated no change in active commuting at the secondary school and a 2% increase at the primary school. The schemes improved perceptions of safety for pedestrians and cyclists at the primary school; however, residents still had concerns as motorists' compliance and safety were highlighted as key issues in both schools. Routinely collected, continuous air quality data were found to be particularly useful, but traffic volume data were less useful because of the timing of data collection and cost of sensors. InterpretationIt is possible that such schemes implemented with enforcement are necessary but not sufficient to encourage changes in commuting. Before a larger study could be done, the scheme design needs refinement to improve potential effectiveness. FundingUK Medical Research Council.

Linking passion to performance in the social commerce community: The role of collaborative information exchange

The proliferation of social commerce has enabled millions of passionate entrepreneurs to launch businesses. Yet, literature is sparse regarding whether and how passionate entrepreneurs succeed in this new context. Through an in-depth analysis of the social commerce community, this study articulates the role of collaborative information exchange as one behavioral mechanism through which entrepreneurial passion translates into performance. Using both primary survey data and secondary store traffic and trade volume data from a social commerce website, the authors find that collaborative information exchange partially mediates the effect of passion on entrepreneurs’ business satisfaction (subjective performance) and fully mediates the effect of passion on store traffic and trade volume (objective performance). This study deepens our understanding of entrepreneurial passion by identifying an important mechanism that is specific to the digital entrepreneurship domain and provides practical implications to both individual entrepreneurs and social commerce platforms.

Assessment Performance at Al- Thawra Signalized Intersection in Babil City

Hilla cities center of province Babil is one of the most important cities in Iraq 100 km (62 mi) south of Baghdad .its relate the Governorate Baghdad with Governorates south Al-Thawra signalized intersection is one of the most important intersections in AL-Hilla city Being a major crossing point to the governorates of holy Karbala and Baghdad.The excessive traffic volumes, during the peak periods (at morning and evening), of vehicles that entering the intersection increase traffic density, reduce travel speed, increase travel time, and increase the delay values This paper aims to assess the traffic performance of Al-thawra signalized intersection in Babil city that is consistent with the existing conditions and intersection's geometric properties. For all approaches, video recording has been used to collect traffic volume data. These data are taken out of videos from Babil police cameras (department of communications and information systems)..The intersection was evaluated and analyzed using the SYNCHRO 10.0 software, and the best option was selected. The outcome of the evaluation process indicated that the intersection is operated at the level of service (LOS F) and with a control delay of 162.5 seconds.by recommending a variety of strategies, ranging from signal optimization to geometric enhancements. The suggestion of widening the pavement in the north-south direction was found to be the best solution. resulting in a decrease in vehicle delays from 162.2 seconds to 95.4 seconds and the level of service remains constant (LOS F) considered an acceptable and cost-effective solution to the intersection's problems.

ROAD PERFORMANCE ANALYSIS TRACK OF TOURISM OBJECT AIR BATU OF GEOPARK MERANGIN

Merangin is one of the districts in Jambi Province, Indonesia. Its area is 7,668.61 km² with a population of 335,000 people. This district is a division of the Sarolangun-Bangko district and is divided into 24 sub-districts which are further divided into 10 sub-districts and 205 villages. Merangin Geopark is located in Air Batu Village, Renah Pembarap District, Merangin Regency and is one of the tourist destinations in Merangin Regency. The Merangin Geopark is a connecting road between villages, thus this road plays an important role in serving a fairly large traffic flow at certain times. A tourist attraction is a place or natural state that has natural resources that are built and developed so that it has an attraction that is cultivated as a place visited by tourists. One of the attractions in Merangin Regency is Air Batu Tourism Object which is located in Air Batu village and Baru village, Renah Pembarap District with a population of 12,987 people and is part of the Merangin Geopark. In this final project the research method used is a quantitative research method. Quantitative research method is a systematic scientific research on the parts and phenomena and the causality of their relationships. The purpose of quantitative research is to develop and use mathematical models, theories and hypotheses related to natural phenomena. The data needed include primary data (road geometric data, traffic volume data, vehicle speed data, side barriers data) and secondary data (map of research location, population data). From the results of the calculation and analysis of the road segment in December 2021, the traffic flow value (Q) = 875 pcu/hour, capacity value (C) = 1617.61 pcu/hour, degree of saturation (DS) = 0,54, free flow speed (FV) = 43,69 km/hour, and the level of service (Level Of Service/LOS) is categorized as level B. Based on the results of calculations carried out in 2022, the Air Batu Geopark Merangin Tourism Object Road section does not require immediate action

Identifying Optimal Locations for Speed Enforcement Cameras

Speed enforcement cameras are used to improve traffic safety. These cameras are usually placed in areas with significant crashes related to speeding. However, in many countries, detailed crash data are not available or are of poor quality. This study aims to propose and explore three simple ranking methods for identifying optimal locations for speed enforcement cameras that do not depend on crash records. The first method is based on the Star Rating Scores and the traffic volume data. The second method relies on developing a data-driven model for predicting speeding violation rate (VR) based on road geometry aspects and comparing it with available road segment crash risk. The third method uses a combination of the first two methods. The proposed methods and prediction models were applied to a case study and successfully identified the optimal location for speed enforcement cameras. The developed prediction models suggest that speed limit, junction spacing, and the number of access points per kilometer are the most common variables to estimate speed VRs for both urban and rural roads. Availability of service roads and the number of lanes were variables that affect the speed VR on urban roads only. The proposed methods are considered valuable simple tools for road safety practitioners to effectively prepare speed enforcement plans for different road networks.

Modeling Small-Granularity Expressway Traffic Volumes With Quantum Walks

At small granularity (e.g., 10-minutes to hourly), expressway traffic volumes rely heavily on drivers’ driving habits heterogeneity and decision randomness, making it challenging for accurate modeling. In this paper, we propose a small granularity simulation model named Small-Granularity Expressway Traffic Volumes with Quantum Walks (SGETV-QW). The proposed model adopts quantum walks to generate probability patterns of the exiting time of drivers from the expressway. Then, we refine and map the generated probability patterns to empirical traffic-volume data via a stepwise regression and quantify the modeling accuracy in both the time and frequency domain. We validate SGETV-QW for traffic volume data from seven stations along the Nanjing-Changzhou Expressway in China and compare it with Autoregressive Integrated Moving Average Model (ARIMA) and Long and Short-Term Memory (LSTM) networks. The results show that SGETV-QW improves the simulation accuracy at small granularity. In addition, traffic volumes simulated by SGETV-QW have almost the same frequency spectrum as observed traffic volumes. Finally, we conduct a sensibility analysis and show that SGETV-QW can adapt its parameters to model traffic volumes at different granularities.

Automatically collecting data traffic in intersections by using video analytics software for vehicle counting

Traffic volume and composition data are important for infrastructure planning and increase traffic safety. The actual survey techniques depend on the goals of the survey, the amount of traffic data and the human and financial resources available. The purpose of this research is to improve classical collecting data by creating an automatically collecting data traffic with the help of a video analytics software. Authors present in this paper a new method for automatically collecting data traffic using Camlytics, a video analytics software, which is automatic processing the videos. This method is less time consuming, don’t need a significant human resource and it is easy to apply. Also, this new method for counting the traffic may be used by the municipality for making a better fluidisation of traffic in the city by corelating the data traffic with the Intelligent Transportation Systems (I.T.S.).