CITY TRANSPORT MONITORING AND ROUTES OPTIMAL MANAGEMENT SYSTEM

Transport ◽  
2008 ◽  
Vol 23 (2) ◽  
pp. 144-149 ◽  
Author(s):  
Jonas Daunoras ◽  
Vaclovas Bagdonas ◽  
Vytautas Gargasas

The article analyses the problem of further development of geographic informational systems with traffic monitoring channel (GIS‐TMC) in order to present the road users with effective information about the fastest (the shortest in respect of time) routes and thus to improve the use of existing city transport infrastructure. To solve this task it is suggested to create dynamic (automatically updated in real time) street passing duration base, for support of which a city transport monitoring system operating in real time is necessary, consisting of a network of sensors, a data collection communications system and a data processing system. In the article it is shown that to predict the street passing duration it is enough to measure speed of transport in the characteristic points of the street. Measurements of traffic density do not significantly improve accuracy of forecasting the street passing time. Analytical formulas are presented meant to forecast the street passing time.

2017 ◽  
Vol 2017 ◽  
pp. 1-13 ◽  
Author(s):  
Davide Dardari ◽  
Nicoló Decarli ◽  
Anna Guerra ◽  
Ashraf Al-Rimawi ◽  
Víctor Marín Puchades ◽  
...  

In this paper, an ultrawideband localization system to improve the cyclists’ safety is presented. The architectural solutions proposed consist of tags placed on bikes, whose positions have to be estimated, and anchors, acting as reference nodes, located at intersections and/or on vehicles. The peculiarities of the localization system in terms of accuracy and cost enable its adoption with enhanced risk assessment units situated on the infrastructure/vehicle, depending on the architecture chosen, as well as real-time warning to the road users. Experimental results reveal that the localization error, in both static and dynamic conditions, is below 50 cm in most of the cases.


Author(s):  
Tommi Inkinen ◽  
Reima Helminen ◽  
Janne Saarikoski

Digitalization is frequently addressed in recent economic and social scientific literature. This paper applies a distinction to digital data (raw data) and digital technologies (including both software platforms and hardware solutions). The open data is defined as follows: it is publicly available and non-chargeable data (information content) that is machine readable. Open data enables software and application development for external partners and users. A common feature in open-data applications is location-based identification (e.g., real-time traffic monitoring). These include spatial map visualizations, and monitoring of traffic and modes of transport. This visualized information provides additional support for data-based decision-making and management as these study results indicate. This information is valuable particularly in the decisions concerning unconventional and sudden events. This research indicates that the most suitable data resources for opening include information related to port transport infrastructure. In terms of temporal monitoring, static road and rail data is currently the most potential alternative for open data in ports. The main reasons are that these data sources are already at least partly published. However, they are not always in open-data formats. Static data is also a grounded starting point because the technical requirements are much less demanding in comparison to real-time data-processing and management


2020 ◽  
Vol 15 ◽  
pp. 90-97
Author(s):  
Kristine Vugule ◽  
Ilze Stokmane ◽  
Simon Bell

We see, use and interact with different type of landscape every day. One of the important types is the road landscape we encounter during travel, whether a business trip, vacation or just on the way to and from home. Such landscapes can often help to introduce us to new regions or invite us to explore the surrounding areas because we partly experience the world around us from the road. Road landscapes combine important aspects of road and transport infrastructure as well as the quality of life of local people, traffic safety and tourism development. Road landscape development concerns both landowners and road users, each of whom might have different interests and understanding about possible landscape development and its consequences. Therefore, it is important to plan, discuss, present, and evaluate the future developments of any road landscape. The subject of road landscape has been little studied in Latvia. There are no recommendations on road landscape evaluation. Here we present a methodology for assessing perceptions of road landscapes. We aim to introduce several methods in combination that can be used in road landscape assessment, in order to show possible future developments of the road corridor and its surroundings and to test how potential changes might be perceived by road users. A combination of a case study approach, a scenario method, the use of 3D animations and of a web-based questionnaire survey are presented and discussed in the paper.


Pondasi ◽  
2019 ◽  
Vol 24 (1) ◽  
pp. 16
Author(s):  
Sabilirrahman Sabilirrahman ◽  
Rachmat Mudiyono

              Road as a transportation system has an important role in Indonesia compared to other modes of transportation such as air and sea transportation. As road is found to be important, this condition must be maintained to keep it in a good condition. In fact, road damage still occurs that it can bother the road users and disrupt the pace of the economic activities of the community. Therefore, a research is needed to get to know factors that cause damages to the road segments of Pemalang - Tegal. This research belongs to descriptive research conducted by previously testing the validity and reliability of the research approach. It is done by looking for factors that cause damages to rigid pavement roads in terms of implementation, and factors causing the type of dominant damage and how to handle it.This resarch was conducted to 70 respondents using a questionnaires previously tested for validity and reliability. Data were obtained from the questionnaires filled by the respondents and then statistically processed through SPSS and AHP method. The results show that one of the causes of rigid pavement road damage viewed from implementation was the poor material processing system. The most dominant types of damages were abrasion, release of granules and wear. by overlaying in a damaged location.Keywords: Causes, Types of damage, How to handle the road              Road as a transportation system has an important role in Indonesia compared to other modes of transportation such as air and sea transportation. As road is found to be important, this condition must be maintained to keep it in a good condition. In fact, road damage still occurs that it can bother the road users and disrupt the pace of the economic activities of the community. Therefore, a research is needed to get to know factors that cause damages to the road segments of Pemalang - Tegal. This research belongs to descriptive research conducted by previously testing the validity and reliability of the research approach. It is done by looking for factors that cause damages to rigid pavement roads in terms of implementation, and factors causing the type of dominant damage and how to handle it.This resarch was conducted to 70 respondents using a questionnaires previously tested for validity and reliability. Data were obtained from the questionnaires filled by the respondents and then statistically processed through SPSS and AHP method. The results show that one of the causes of rigid pavement road damage viewed from implementation was the poor material processing system. The most dominant types of damages were abrasion, release of granules and wear. by overlaying in a damaged location.Keywords: Causes, Types of damage, How to handle the road


Author(s):  
G. Kalyan

Traffic congestion is now a big issue. Although it seems to penetrate throughout the world, urban towns are the ones which are most effected. And it is expanding in nature that it is necessary to understand the density of roads in real time to better regulate signals and efficient management of transport. Various traffic congestions, such as limited capacity, unrestricted demand, huge Red Light waits might occur. While insufficient capacity and unlimited demand are somehow interconnected, their delay in lighting is difficult to encode and not traffic dependant. The necessity to simulate and optimise traffic controls therefore arises in order to better meet this growing demand. The traffic management of information, ramp metering, and updates in real-time has been frequently used in recent years for image processing and monitoring systems. An image processing can also be used for the traffic density estimation. This research describes the approach for the computation of real-time traffic density by image processing for using live picture feed from cameras. It focuses also on the algorithm for the transmission of traffic signals on the road according to the density of vehicles and therefore aims to reduce road congestion, which reduces the number of accidents.


Author(s):  
Rezwan us Saleheen ◽  
Abu Salman Shaikat ◽  
Saiful Islam ◽  
Md. Rezwanur Rahman

Extravagance of electrical energy and human efforts is a common context while using manual switching of streetlights. In most of the cases, the streetlights remain ON during evening, night, even daylight the lights manually are switched OFF. This leads to a lot of energy wastage because lights keep glowing even when there is absolutely no necessity of it. This study aims to develop a smart street light system which glows when the vehicle or pedestrian enters the certain point of the road and make the light be in OFF/Dim position when it is not required. An illustration consisting of a transmitter and a receiver are made to accomplish the goal. The proposed system can turn ON the lights while nightfall and OFF the lights detecting the appearance of daylights. Meanwhile, presence as per the requirement. Hence, the street light will ON only when there are road users are present over there. The system is incorporated with a speed measuring section to reduce rash driving while the road has relatively low traffic density. Compared to the conventional street light system, this streetlight can reduce redundant energy consumption as well as reckless driving tendency.


The problem of traffic congestion has increased now-a-day’s due to the rapid growth of population in major cities. Overwhelming number of vehicles and insufficient roads are the major causes of traffic congestion. This needs new technologies to be adopted, and a better approach for effective traffic management. In the literature, researchers use conventional methods such as IR sensor, wireless sensor, and Fuzzy logic to measure the traffic density. The main limitations of such conventional methods are that they require personal monitoring of the traffic and ineffective to work in foggy weather. The main aim of this work is to develop a real-time adaptive density-based traffic management system that can quantify number of vehicles on roads under foggy weather conditions. The proposed system involves video acquisition, frame extraction, fog removal and vehicle counting. At first, the video is captured by camera and split into number of frames using frame extraction process. The Dark channel prior (DCP) algorithm is used to remove the fog from each frame and the background subtraction method and certain morphological operations are used to count the number of vehicles in real-time. Based on the vehicle count, the system specifies the time required to clear the traffic. This could facilitate ease traffic flow, save time, and even operate in foggy weather conditions, which is an improvement from the conventional timer-based operations of traffic signals.


Author(s):  
Zamani Md Sani ◽  
Hadhrami Abd Ghani ◽  
Rosli Besar ◽  
Azizul Azizan ◽  
Hafiza Abas

Road users make vital decisions to safely maneuver their vehicles based on the road markers, which need to be correctly classified. The road markers classification is significantly important especially for the autonomous car technology. The current problems of extensive processing time and relatively lower average accuracy when classifying up to five types of road markers are addressed in this paper. Two novel real time video processing methods are proposed by extracting two formulated features namely the contour number, , and angle, 𝜃 to classify the road markers. Initially, the camera position is calibrated to obtain the best Field of View (FOV) for identifying a customized Region of Interest (ROI). An adaptive smoothing algorithm is performed on the ROI before the contours of the road markers and the corresponding two features are determined. It is observed that the achievable accuracy of the proposed methods at several non-urban road scenarios is approximately 96% and the processing time per frame is significantly reduced when the video resolution increases as compared to that of the existing approach.


Author(s):  
F. Kurz ◽  
D. Rosenbaum ◽  
O. Meynberg ◽  
G. Mattyus ◽  
P. Reinartz

A new optical real-time sensor system (4k system) on a helicopter is now ready to use for applications during disasters, mass events and traffic monitoring scenarios. The sensor was developed light-weighted, small with relatively cheap components in a pylon mounted sideward on a helicopter. The sensor architecture is finally a compromise between the required functionality, the development costs, the weight and the sensor size. Aboard processors are integrated in the 4k sensor system for orthophoto generation, for automatic traffic parameter extraction and for data downlinks. It is planned to add real-time processors for person detection and tracking, for DSM generation and for water detection. Equipped with the newest and most powerful off-the-shelf cameras available, a wide variety of viewing configurations with a frame rate of up to 12 Hz for the different applications is possible. Based on three cameras with 50 mm lenses which are looking in different directions, a maximal FOV of 104° is reachable; with 100 mm lenses a ground sampling distance of 3.5 cm is possible at a flight height of 500 m above ground. <br><br> In this paper, we present the first data sets and describe the technical components of the sensor. The effect of vibrations of the helicopter on the GNSS/IMU accuracy and on the 4k video quality is analysed. It can be shown, that if the helicopter hoovers the rolling shutter effect affects the 4k video quality drastically. The GNSS/IMU error is higher than the specified limit, which is mainly caused by the vibrations on the helicopter and the insufficient vibrational absorbers on the sensor board.


Author(s):  
Volodymyr Kaskiv ◽  
Andrii Vozniuk ◽  
Liudmyla Nahrebelna

The key role in the implementation of the state transport strategy is played by the development of transport infrastructure, the most important component of which is the road network. The compliance of highways with the requirements of modern traffic flows determines not only the efficiency of industry and agriculture, but also ensuring the proper standard of living of people and the state defense capability. Problems of efficient functioning of public roads, urban roads and streets of Ukraine are outlined. The main provisions for the road safety audit are outlined. Road safety audits are proven to be one of the most effective engineering tools that affect road safety. The main benefit of road safety audit is the detailed assessment of the road safety design solutions at all stages of design. The purpose of a road safety audit is to answer the following questions: - what road elements could pose a threat to road users: to what extent, to what road users and under what circumstances; - what opportunities exist to eliminate or reduce the impact of identified threats on traffic safety. The earlier an audit is carried out in the design and construction processes, the better and more useful the results are. Carrying out an audit in the early stages can help eliminate problems early and, as a consequence, minimize the time and cost of redesigning in the subsequent stages. In addition, it should be noted that conducting an audit leads to intensive negotiations between the auditors, the customer and the designer. Such negotiations are useful for raising awareness of all stakeholders, as well as for improving day-to-day work, design procedures and will be useful for updating building standards or norms. The questions of improvement of methods of calculation of safe speed of movement, development of algorithms of multivariate analysis of conditions of movement, identification of potentially dangerous sites and identification of causes of danger are considered. A mechanism is provided that can significantly accelerate such an audit, effectively utilize human, time and financial resources. Keywords: audit, algorithm, traffic safety, road, method, model, speed.


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