Comparing Wireless Traffic Tracking with Regular Traffic Control Systems for the Detection of Congestions in Streets

Detecting congestions on streets is one of the main issues in the area of smart cities. Regular monitoring methods can supply information about the number of vehicles in transit and thus the saturation of the streets, but they are usually expensive and intrusive with respect to the road. In recent years a new trend in traffic detection has arisen, considering the Wireless signals emitted by ‘smart’ on-board devices for counting and tracking vehicles. In this paper, two traffic monitoring methods are compared: detections using a regular Inductive Loop Detector on the road and an own Wireless Tracking System based on Bluetooth detection called Mobywit. The correlation between the day of the week and the hour with the traffic flow in a metropolitan busy street has been analysed. Assuming that our system is not able to defect all the vehicles, but just only subset of them, it is expected a causality between the results obtained using the two methods. This means, that the Bluetooth-based system can detect the same variations in the traffic flow that the regular loop detector, but having two main advantages: the tracking possibilities and a much lower cost.This work has been supported in part by project MOSOS (reference PRY142/14), which has been granted by Fundación Pública Andaluza Centro de Estudios An- daluces in the call `IX Convocatoria de Proyectos de Investigación'. It also has been partially funded by national projects TIN2014-56494-C4-3-P and TEC2015- 68752 (Spanish Ministry of Economy and Competitiveness), PROY-PP2015-06 (Plan Propio 2015 UGR), and project CEI2015-MP-V17 of the Microprojects program 2015 from CEI BioTIC Granada

Detection of traffic anomalies for a safety system of smart city

For modern smart city with sustainable development we need to provide reasonable level of safety and efficient management of the resources. Instant response to incidents and abnormal situations will help to provide such high bars for city residents, which requires deployment of application of intelligent information processing and data analytics into infrastructure. Closed-circuit television (CCTV) is playing a key part in assurance of city security - most of the modern large cities equip with powerful monitoring systems and surveillance cameras. Video data covers most of the city and could be efficiently used to find anomalies or trends. This hard task for non-stop video monitoring could be solved by modern achievements in machine learning and computer vision techniques, which can automate the process of video analysis and identify anomalies and incidents without human intervention. In this paper, we used computer vision methods like object detection and tracking, as well as neuron networks for classification and detection of anomalies on real time video. As a result of this work we suggested the working approach for detection of vehicle/pedestrian violating legal trajectory anomaly, which we tested on real-time video provided by surveillance cameras of the city of Kazan

Cooperative vehicular traffic monitoring in realistic low penetration scenarios: The COLOMBO experience

The relevance of effective and efficient solutions for vehicle traffic surveillance is widely recognized in order to enable advanced strategies for traffic management, e.g., based on dynamically adaptive and decentralized traffic light management. However, most related solutions in the literature, based on the powerful enabler of cooperative vehicular communications, assume the complete penetration rate of connectivity/communication technologies (and willingness to participate in the collaborative surveillance service) over the targeted vehicle population, thus making them not applicable nowadays. The paper originally proposes an innovative solution for cooperative traffic surveillance based on vehicular communications capable of: (i) working with low penetration rates of the proposed technology and (ii) of collecting a large set of monitoring data about vehicle mobility in targeted areas of interest. The paper presents insights and lessons learnt from the design and implementation work of the proposed solution. Moreover, it reports extensive performance evaluation results collected on realistic simulation scenarios based on the usage of iTETRIS with real traces of vehicular traffic of the city of Bologna. The reported results show the capability of our proposal to consistently estimate the real vehicular traffic even with low penetration rates of our solution (only 10%)

Exploring the Effects of Cooperative Adaptive Cruise Control in Mitigating Traffic Congestion

The aim of this research is to examine the impact of CACC (Cooperative Adaptive Cruise Control) equipped vehicles on traffic-flow characteristics of a multilane highway system. The research identifies how CACC vehicles affect the dynamics of traffic flow on a road network and demonstrates the potential benefits of reducing traffic congestion due to stop-and-go traffic conditions. An agent-based traffic simulation model is developed specifically to examine the effect of these intelligent vehicles on the traffic flow dynamics. Traffic performance metrics characterizing the evolution of traffic congestion throughout the road network, are analyzed. Different CACC penetration levels are studied. The positive impact of the CACC technology is demonstrated and shown that it has an impact of increasing the highway capacity and mitigating traffic congestions. This effect is sensitive to the market penetration and the traffic arrival rate. In addition, a progressive deployment strategy for CACC is proposed and validated

Dynamic wireless mobile framework for distributed collaborative real-time information generation and control systems

Intelligent Transportation Systems (ITS) have only recently discovered the exciting possibilities in the nomadic and ubiquitous computing space to build a new generation of information systems by allowing the vehicle to act both as a carrier and consumer of wireless (and thus omnipresent) information. Wide deployment of such ITS systems may eventually allow for more dynamic and efficient transportation systems, which can contribute in several ways towards greater economic growth whilst respecting environmental sustainability. A great number of researchers have dedicated considerable time and resources to tackling traffic related issues by utilising the new wireless capabilities enabled by ITS; such initiatives cover a wide range of applications such as safety, knowledge sharing and infotainment. Indicative of the extent of such efforts is the plethora of research projects initiated by many national and multi-national organisations such as the EU Framework Programme for Research and Technological Development. To achieve their goals, proposed solutions from such organisations depend on the development and deployment of intelligent wireless mobile communication systems, where data dissemination issues make the prospect of efficient and effective communication a challenging proposition. Presently, Car-to-Car and Car-to-Infrastructure communications are two distinct avenues that make possible efficient and reliable delivery of messages via direct radio links in traffic areas. In all cases, high quality of communication performance is desirable for a communication system composed mostly of roaming participants; such a system needs to be dynamic, flexible and infrastructure-less. Consequently, Mobile Ad hoc Network (MANET)-based networks are a natural fit to ITS

An Overview of Vehicle-to-Infrastructure Communication Technology

As a part of solutions to reduce problems associated with transportation in cities, technologies can have noticeable impacts. Due to efficiency and low costs, innovative transportation technologies can reshape and improve human’s transportation. This research aims to explore Vehicle-to-Infrastructure communication technology (V2I) and its benefits to safety, mobility, and environment. In addition, it explores the planning aspect of deploying V2I technology and its opportunities, challenges and concerns, and implication to communities. The research will also look at several case studies including pilot projects that have been taking place in the United States and studies that have been done to have a better understanding of the current situation of V2I technology and its future needs. Advisor: Rodrigo Cantarer

Modeling and Simulation of Vehicle to Vehicle and Infrastructure Communication in Realistic Large Scale Urban Area

During the last decades, Intelligent Transportation System (ITS) has progressed at a rapid rate, which aim to improve transportation activities in terms of safety and efficiency. Car to Car or Vehicle-to-Vehicle (V2V) communications and Car/Vehicle-to-Infrastructure (I2V or V2I) communications are important components of the ITS architecture. Communication between cars is often referred to Vehicular Ad-Hoc Networks (VANET) and it has many advantages such as: reducing cars accidents, minimizing the traffic jam, reducing fuel consumption and emissions and etc. VANET architectures have been standardized in the IEEE-802.11p specification. For a closer look on V2V and V2I studies, the necessity of simulations is obvious. Network simulators can simulate the ad-hoc network but they cannot simulate the huge traffic of cities. In order to solve this problem, this thesis studies the Veins framework which is used to run a traffic (SUMO) and a network (OMNET++) simulator in parallel and simulates the realistic traffics of the city of Cologne, Germany, as an ad-hoc network. Several different simulations and performance analyses have been done to investigate the ability of different VANET applications. In the simulations, cars move in the real map of the city of Cologne and communicate with each other and also with RoadSideUnits with using IEEE 802.11p standard. Then, Probability of Beacons Delivery (PBD) in different area of a real city are calculated and also are compared with the analytical model. This study is the first research performed on calculating PBD of IEEE 802.11p in realistic large urban area. Then, the thesis focuses on modelling and analysis of the applications of the V2I in real city. In these sections, two different simulations of application of the VANET are done by developing the Veins framework and also by developing two new programs written in Python which are connected to SUMO and control the real traffic simulation. One program simulates a real city with intelligent traffic lights for decreasing response time of emergency vehicles by using V2I. The results show that using V2I communication based on 802.11p between emergency cars and traffic lights can decrease the response time of emergency cars up to 70%. Another program, simulates dynamic route planning in real traffic simulation which is used V2I and V2V communication. The result of this simulation show the capability of V2V and V2I to decrease the traveling time, fuel consumptions and emissions of the cars in the city

Modeling and Simulation of Vehicle to Vehicle and Infrastructure Communication in Realistic Large Scale Urban Area

During the last decades, Intelligent Transportation System (ITS) has progressed at a rapid rate, which aim to improve transportation activities in terms of safety and efficiency. Car to Car or Vehicle-to-Vehicle (V2V) communications and Car/Vehicle-to-Infrastructure (I2V or V2I) communications are important components of the ITS architecture. Communication between cars is often referred to Vehicular Ad-Hoc Networks (VANET) and it has many advantages such as: reducing cars accidents, minimizing the traffic jam, reducing fuel consumption and emissions and etc. VANET architectures have been standardized in the IEEE-802.11p specification. For a closer look on V2V and V2I studies, the necessity of simulations is obvious. Network simulators can simulate the ad-hoc network but they cannot simulate the huge traffic of cities. In order to solve this problem, this thesis studies the Veins framework which is used to run a traffic (SUMO) and a network (OMNET++) simulator in parallel and simulates the realistic traffics of the city of Cologne, Germany, as an ad-hoc network. Several different simulations and performance analyses have been done to investigate the ability of different VANET applications. In the simulations, cars move in the real map of the city of Cologne and communicate with each other and also with RoadSideUnits with using IEEE 802.11p standard. Then, Probability of Beacons Delivery (PBD) in different area of a real city are calculated and also are compared with the analytical model. This study is the first research performed on calculating PBD of IEEE 802.11p in realistic large urban area. Then, the thesis focuses on modelling and analysis of the applications of the V2I in real city. In these sections, two different simulations of application of the VANET are done by developing the Veins framework and also by developing two new programs written in Python which are connected to SUMO and control the real traffic simulation. One program simulates a real city with intelligent traffic lights for decreasing response time of emergency vehicles by using V2I. The results show that using V2I communication based on 802.11p between emergency cars and traffic lights can decrease the response time of emergency cars up to 70%. Another program, simulates dynamic route planning in real traffic simulation which is used V2I and V2V communication. The result of this simulation show the capability of V2V and V2I to decrease the traveling time, fuel consumptions and emissions of the cars in the city

Hajj crowd management via a mobile augmented reality application: a case of The Hajj event, Saudi Arabia

Hajj event is considered as one of the Islamic pillars that each Muslim, who could afford its’ expenses and are well bodied, should perform its’ rituals at least once in a lifetime. Therefore, they could travel to Mecca city, in the Kingdom of Saudi Arabia to perform Hajj rituals. This holy city hosts this event annually in the last month of the Arabic calendar, which is Dhul Hijjah, and it lasts for 6 days. In addition, those Muslim visitors or pilgrims are obligated to be accommodated at Hajj ritual places, which are Arafat, Mina and Muzdalifah. However, in the last ten years, it was noticed that the Hajj events are crowded every year. Therefore, Hajj crowd management is being a complex task, due to the huge number of the pilgrims as they are crowded at the Hajj ritual places. This huge number is causing many problems, and Hajj authorities are facing difficulties in managing those crowded pilgrims. As a result, this research focuses on three main problems that occur at Hajj events. First, difficulties in organizing the crowds’ movements of the pilgrims, as Hajj events host enormous number of pilgrims in limited geographical spaces at the ritual places. This problem leads to overcrowdings, congestions and stampedes. Second, the pilgrims could get lost at Hajj ritual places, especially when they are moving between these places. Third, lack of directional information and guidance for those lost pilgrims. This problem leads to difficulties in finding their groups at the ritual sites, because the huge number of the pilgrims. Thus, this research proposes to deploy a technology, such as a Mobile Augmented Reality application. This application would assist the Hajj authorities (staff and operators) in managing the pilgrims’ movements between the ritual places, and to provide directions to the lost pilgrims. In addition, it would help those lost pilgrims by alerting, and sending their location information to their group guide. On the other hand, the research literature review covers previous studies about the Hajj crowd management, as it is divided into two perspectives. The theoretical perspective, which explains the crowd management steps that should be followed and applied, as these steps would help the Hajj authorities to succeed in crowd management at Hajj events. The practical perspective presents some studies that are related to the Hajj events. Those studies offered some solutions to manage crowded pilgrims, to avoid overcrowdings and stampedes, and to identify, locate and guide lost pilgrims. The solutions were Radio Frequency Identification (RFID) systems, Global Positioning Systems (GPS) deceives and monitoring cameras. In addition, this research conducted and distributed questionnaires on 104 respondents. They were selected as they are related to Hajj events. The results of this research method confirmed that the Hajj events face problems. For example, overcrowdings, congestions and stampedes that occur at the ritual places, due to lack of pilgrims organization in limited spaces at these places. In addition, foreign pilgrims face difficulties in guidance, due to lack of directional information, and they could get lost from their groups at the Hajj events. In addition, the respondents suggested using technology to assist Hajj authorities in Hajj crowd management. Therefore, deploying MAR application is suggested, as a solution to solve or at least reduce the Hajj problems. The proposed application could help the Hajj authorities to manage the crowded pilgrims at the Hajj ritual places as this research illustrates two scenarios in Hajj crowd management. In conclusion, this application is beneficial and significant in crowd management at Hajj events, as it could provide instant information using high-speed process in sending and receiving information. In addition, the information about the pilgrims’ movements could be gathered, presented on smart devices and shared between applications’ users. Those users will be the Hajj staff on the ground and the Hajj operators in the control room of Hajj operations

OTSS: Oulu traffic simulation system

Abstract. This thesis presents the design and the implementation of Oulu Traffic Simulation System (OTSS), a traffic simulation system for the City of Oulu, Finland. Following agent-based approach, the simulation generates artificial agents that represent the population synthesis of the City of Oulu. Data from several sources, including official statistics, government-organized open data and crowdsourced information were collected and used as input for the simulation. Two traffic demand models are presented in this thesis: (1) the random model which generates traffic trips as random, discrete events; and (2) the activity-based model which defines traffic trips as sequential events in the agents’ day plan. The software development of the system follows the spiral model of software development and enhancement. During the implementation, several development cycles were conducted before the UML software design. The system was executed on two computation systems to test its real-time performance. To evaluate the traffic models, data extracted from the simulation was compared with aggregated survey data from Finnish Transport Agency and traffic count stations around the city. The results showed that a typical server is capable of running the simulation, and even though there were differences in the duration and distance of individual trips, the simulation reflects real-life traffic count significantly well