Traffic Path Research Articles

AAUQ Asphalt Mixtures Using Carbide Lime for Low Traffic Paths in Manaus - AM

The asphalt pavements of the residential streets and outskirts of Manaus city are usually made of Hot Machined Asphalt Sand (AAUQ), which is ideal for low traffic roads, not only for the flow of vehicles and use of materials, but also for the economic viability of the project. In this research we used the waste originated from acetylene gas production in factories of the Industrial District, Cal de Carbureto in the composition of asphalt mixtures of type AAUQ, replacing the usual filler, Portland cement. These mixtures were mechanically evaluated with respect to the Diametral Compression Tensile Strength, Resilience Module and Fatigue Life tests, and it was found that the alternative filler presents superior results when compared to the usual used in the asphalt plants of the City.

Global bandwidth scheduling algorithm for complex IP over OTN network

This paper presents a global paths planning in IP over OTN uniform control inter-datacenter network and designs algorithm based on fairness, in order to due with big traffic flow paths planning problem. By this algorithm, apps are allocated bandwidth in a fair way on the premise of trying to meet the bandwidth demand. Simulation results reveal that, compared with algorithm based on priority, global paths planning improves fairness by up to 0.2 on premise of not reducing satisfaction degree. Compared with algorithm in IP controlled network, number of router ports is saved by up to more than 65% in IP over OTN uniform controlled network.

A Platform for Design Pattern Language as a Tool for Enhancing Non-Motorized Paths

Pedestrian and bicycle paths considered as Non-Motorized paths are quite responsible for raising the social quality of life for cities' residents and visitors as well, aiming at achieving the highest level of well-being, thus, directly affect the users' level of satisfaction. Based on physical standards represented in environmental and economic attributes, as well as moral standards represented in social, cultural and psychological attributes, the research aims at discussing the role of Non-Motorized paths in raising the cities' social quality of life.The research methodology includes a comprehensive literature review, analytical part and a practical part. The hypothesis of non-motorized paths act as a catalyst to the social quality of life attributes is to be discussed extensively in the literature review, while the analytical part aims at studying the leading international models in social quality of life deducing the full detailed attributes that contribute to measuring and upgrading the quality of non-motorized traffic paths. At the end the practical part includes proposing a platform for design based on selected design theories, targeting recruiting these theories in a functional way, aims at assessing and upgrading local models in Greater Cairo, with the help of the attributes derived from the previous analytical part. The local models in Greater Cairo selected to be in Cairo City Center; Al Shawarby Street, moreover surveys are the Tools of investigation and assessment within thorough observations to the case.The research findings demonstrate the great ability of non-motorized paths in providing safety attributes, and entertainment factors, meeting different cultural and social needs for the users, enhancing as well the aesthetic aspect and the visual image of the city, thus the physical and moral standards are well supported, and the social quality of life is well enhanced.

The implementation of the Kruskal algorithm for the search for the shortest path to the location of a building store in the city of Bogor

The shortest path is a very important thing in a business sector, especially in sending goods by land. One of the obstacles faced in the shipment of goods is the determination of the trajectory. Determining the best trajectory can minimize shipping costs and time is more efficient A designated algorithm or system is required to search for the shortest and the most optimal traffic path from various numbers of existing alternative pathways. The Kruskal algorithm is one of the algorithms used in solving minimum spanning tree problems by choosing the side that has the smallest weight of each node with the notes that the selected sides cannot form a closed circular. For Case on study, we used data activities is controlled by land transportation from PT. T A. The results showed that with the application of the Kruskal algorithm in the case of finding the closest route to the building store for shipping goods, the optimal path was obtained. The distances of the 12 data that was tried there were 83% data which were smaller than the google map direction API.

Application of Hybrid Ant Colony Algorithm in Urban Traffic Path Planning

To plan the urban traffic path using the ant colony algorithm, the composition and functional division of the mobile robot are analyzed. The TSP (Traveling Salesman Problem) is used to deeply understand the traditional ant colony algorithm. Then, based on this, the improvement scheme of the traditional ant colony algorithm is analyzed. The results showed that the artificial potential field method and the A* algorithm improved the performance of the ant colony algorithm. At the initial stage of the search path, the blindness and randomness of the ant colony algorithm due to insufficient pheromone concentration in each path were solved. The local optimal path is avoided with the development of algorithm iteration. Therefore, the improved ant colony algorithm is superior to the traditional ant colony algorithm.

Interconnecting networks with optimized service provisioning

A recent trend of peering at geo-diversified Internet exchange points (IXPs) has empowered decades-old proposal of inter-networking and opened up new avenues of business ventures. IP-transit, cloud direct and remote peering are a few important amongst numerous proposals of service provisioning capitalizing on this peering infrastructure support across domains. Enduring these business proposals becomes a challenging task, especially when the increased dependency of enterprises over the Internet is affirmed. Volatile traffic priorities necessitate different strategies of flow management for each pattern of enterprise traffic. Providing diverse service guarantees to each traffic class require careful selection of resource allocation and compliance of inter-domain policies. In this paper, we propose a novel orchestration framework that helps to stitch end-to-end traffic engineering compliant multiple paths. The framework enables prioritized management of various traffic classes in a centralized manner by employing software defined networking paradigm. Abstraction of multi-graph from the inter-connectivity of peering anchors helps to gear service provisioning spanning across multiple domains. Beside presenting details of our framework, we have articulated use cases highlighting the efficacy of our proposal. We have observed a maximum increase of 26.52% in throughput using proposed model compared with an optimization formulation from literature. Our results imply transparent utility of this formulation for various network topologies and traffic loads.

Randomised Traffic Path Analysis and Formation for Detecting Distributed Denial of Service Botnet Attacks

Botnets are most commonly used in cyber- criminal activity. They’re used for spamming, phishing, denial-of-service attacks, stealing non-public data, and cyber warfare. A botnet may be a range of net computers that, though their homeowners are unaware of but have gotten wind of, forward transmissions (including spam or viruses) to alternative computers on the web. There is a two-stage approach for botnet detection. The primary stage detects and collects network anomalies that are related to the presence of a botnet whereas the second stage identifies the bots by analyzing these anomalies

Trajectory-Based Scene Understanding Using Dirichlet Process Mixture Model.

Appropriate modeling of a surveillance scene is essential for the detection of anomalies in road traffic. Learning usual paths can provide valuable insight into road traffic conditions and thus can help in identifying unusual routes taken by commuters/vehicles. If usual traffic paths are learned in a nonparametric way, manual interventions in road marking can be avoided. In this paper, we propose an unsupervised and nonparametric method to learn the frequently used paths from the tracks of moving objects in Θ(kn) time, where k denotes the number of paths and n represents the number of tracks. In the proposed method, temporal dependencies of the moving objects are considered to make the clustering meaningful using temporally incremental gravity model (TIGM). In addition, the distance-based scene learning makes it intuitive to estimate the model parameters. Further, we have extended the TIGM hierarchically as a dynamically evolving model (DEM) to represent notable traffic dynamics of a scene. The experimental validation reveals that the proposed method can learn a scene quickly without prior knowledge about the number of paths ( k ). We have compared the results with various state-of-the-art methods. We have also highlighted the advantages of the proposed method over the existing techniques popularly used for designing traffic monitoring applications. It can be used for administrative decision making to control traffic at junctions or crowded places and generate alarm signals, if necessary.

Bi-level route guidance method for large-scale urban road networks

This paper proposes a bi-level route guidance method based on macroscopic fundamental diagram (MFD) for urban road network, which is a combination of central route guidance and distributed route guidance and it considers the intentions of both traffic management and traveler. It is a compromise of system optimum and user optimum. In upper-level route guidance, traffic dynamic evolution model of route guidance sub-region based on MFD is constructed and system optimal dynamic traffic assignment method on traffic guidance sub-region level is proposed. In lower-level route guidance, the traffic guidance paths are generated by solving the optimal path problem of the reactive users. Through analysis of the data gathering from Changchun City, China, it is verified that the proposed method not only meets the real-time requirements of dynamic traffic guidance but also provides benefits for the whole traffic system and individual traveler.

Efficient and Privacy-Preserving Truth Discovery in Mobile Crowd Sensing Systems

With the advancement of mobile crowd sensing systems and vehicular ad hoc networks, the human-carried mobile devices (e.g., smartphones, smart navigators, and smart tablets) equipped with a variety of sensors (such as GPS, accelerometer, and compass) can work together to collect sensory data consequently delivered to the cloud for processing purposes, which supports a wide range of promising applications such as traffic monitoring, path planning, and real-time navigation. To ensure the authenticity and privacy of data, privacy-preserving truth discovery has attracted much attention since it can find reliable information among uneven quality of data collected from mobile users, while protecting both the confidentiality of users’ raw sensory data and reliability. However, these methods always incur tremendous overhead and require all participants to keep online for interacting frequently with the cloud server. In this paper, we design an efficient and privacy-preserving truth discovery (EPTD) approach in mobile crowd sensing systems, which can tolerate users offline at any stage, while guaranteeing practical efficiency and accuracy under working process. More notably, our EPTD is the first solution to resolve the problem that users must be online all times during the truth discovery under a single cloud server setting. Moreover, we design a double-masking protocol to ensure the strong security of users’ privacy even if the cloud server colludes with multiple users. Extensive experiments conducted on real-world mobile crowd sensing systems also demonstrate the high performance of our proposed scheme compared with existing models.

An analysis of traffic congestion zones along Mysore road, Bangalore

The term traffic congestion means the stumbling block of traffic paths by lined up vehicles. Bangalore roads are well versed with the traffic problems especially Congestion. This research paper in particular discusses the traffic congestion zones identified along the Mysore road of Bangalore. The parameters deployed to identify these zones being the merging of multiple traffic streams, bottlenecks, etc. The findings of the research show that the identified congestion zones lack proper planning, and thus suitable suggestions are being listed out to ease the traffic congestion problems namely road extension, construction of skywalk or underpass near junctions wherein existence of traffic signals results in Congestion. Keywords: Traffic congestion; bottlenecks; skywalks; underpass

Priority-Based Flow Control for Dynamic and Reliable Flow Management in SDN

Software-defined networking (SDN) is a promising paradigm of computer networks, offering a programmable and centralized network architecture. However, although such a technology supports the ability to dynamically handle network traffic based on real-time and flexible traffic control, SDN-based networks can be vulnerable to dynamic change of flow control rules, which causes transmission disruption and packet loss in SDN hardware switches. This problem can be critical because the interruption and packet loss in SDN switches can bring additional performance degradation for SDN-controlled traffic flows in the data plane. In this paper, we propose a novel robust flow control mechanism referred to as priority-based flow control (PFC) for dynamic but disruption-free flow management when it is necessary to change flow control rules on the fly. PFC minimizes the complexity of flow modification process in SDN switches by temporarily adapting the priority of flow rules in order to substantially reduce the time spent on control-plane processing during run-time. Measurement results show that PFC is able to successfully prevent transmission disruption and packet loss events caused by traffic path changes, thus offering dynamic and lossless traffic control for SDN switches.

A Risk-based Assessment of Road Networks: Country Case-study and a Wide Range of Applications Covering from Logistics Operations and Security Controls to Regional Geo-economic Development

Abstract In this paper a series of strategic logistics concepts, like transportation axes “attractivity”, substitution costs, geo-economic and emergency traffic paths, nodes and gates, are introduced and evaluated in a country case study assessing regional road networks. Based on the above mentioned, risk analyses are performed with regard to the logistics emergencies. Turkey’s main road network is being accordingly examined along with the policy implications of the results provided by current political changes in this country. This study exhibits that the R.T. Erdogan’s, AKP party-ruled, governments, caused not only high-level geopolitics and geo-economics repercussions but also have severe economic and logistics effects, activating incentives and infrastructure investments, especially in the so called Anatolian areas. The analysis of Turkey’s internal geo-economic trends offers notable insight into the mechanism controlling in general the regional socio-economic attractiveness and efficiency. In this context the socioeconomic indicator: "Roads Network Development" on regional basis and for each year of the period 1995-2012, has then been chosen and analyzed statistically as dependent variable in relation to the election results and the consequent political changes between the so called Kemalist and political Islam regimes; the results surprisingly confirm the relevant hypotheses tested.

Big data oriented intelligent traffic evacuation path fuzzy control system

Big data oriented intelligent traffic evacuation path fuzzy control system

Perancangan Aplikasi Pencarian Jalur Terpendek Untuk Lokasi Toko Bangunan Di Kota Bogor Dengan Metode A* (A-Star) Berbasis Android

ABSTRACTAbstractDistribution is one of the most important thing in the business, especially delivery of goods by land transportation. Determination of traffic path plays a critical role in the goods distribution. The best transportation track path will help the business to minimize the shipping cost as well as a more efficient delivery time. A designated algorithm or system is required to search for the shortest and the most optimal traffic path from various numbers of existing alternative pathways. Case study was carried out at PT. Tulu Atas; the company that their business activities is controlled by land transportation. A * algorithm is one pathfinding algorithm that uses the shortest distance estimation to achieve the goal and has a heuristic value that is used as the basis for consideration. A mobile application is developed and implemented on android operating system based on this study to determine the shortest traffic path.Keyword : the shortest path problem, A*(A-Star) algorithm, android operating system

Visual Analytics of Traffic Congestion Propagation Path with Large Scale Camera Data

Congestion analysis is essential to traffic control, especially in crowded urban road network. The recent traffic forecasting methods can provide travelers and traffic managers with early congestion warning, yet unable to reveal the relationship of congestion roads. This paper presented a congestion propagation path estimation method based on greedy algorithm to quickly extract these congestion relationships for visual analytics. The data from traffic cameras are applied to build the propagation network based on a directed weighted graph. It describes the process of congestion spreading among different segments. According to this network, congestion propagation path predicts the process of congestion spreading between different segments. In our visual design, it is applied to demonstrate the segments that will be influenced by the congested road. This is helpful for traffic managers to make effective and efficient decisions. The experimental result shows that our method achieves high accuracy thus prove the effective for the congestion propagation method.

New Perspective of Traffic Flow Path Design in Passenger Transport Hub: the Thought Based on Cross-disciplinary Study

New Perspective of Traffic Flow Path Design in Passenger Transport Hub: the Thought Based on Cross-disciplinary Study

Interactive Placemaking - Prototype of an Intelligent Urban Building Infrastructure for Critical Borderlands / Kinmen

Dependable capabilities to counter wicked tasks are proactively needed for borderland placemaking. Initiated recently, in Xiamen, a hub airport is being constructed at Xiangan district’s Dadeng islet, which was taken after the inner war from the outlying borderland of Taiwan - Kinmen. To promote current interactive urbanizing, holistic pervasiveness, and/or resource chaining, a sensor-information infrastructure with availability, reliability, and maintainability features through artificial intelligence -i.e., the plural surveillances, similar in sensing through creatures’ eyes, ears, and nostrils- is prototyped. By plural detection along traffic paths, such dedicated short-range communication networks, evidenced with terrorist uncertainty, can help promote trust, inclusive accessibility, mobile services, and interactive measures, with fault tolerance, Hamiltonian (a mathematical order), connectivity, scalability, electromagnetic interference countering, and reliable accuracy. More flexibility can be justified for the emerging pervasive logistic and security management demand by further applying other network types. The cube-connected cycle is prototyped for the probe application along waterways and in rural areas. The prototyped spider-web network can be resiliently integrated with shorelines and interior paths and configured together into a featured urban building context, radial-ring, whose sustainability is culturally resonated in world heritage, neighboring Tulous; help promote peace developing and evoke economic interactions, globally.

Proposed Method of Air Traffic Routing in Dynamic Environment Usiing Modifed rrt With Collision Avoid Nace

In the current Airlines Air Traffic Management (ATM), the Air Traffic Control Operators (ATCO), with the Air Traffic Control systems (ATC), operate air traffic paths with a small number of fixed routes. Problems of fixed routes appear such that even when they reduce the chance for conflict, they also produce flight paths plans that do not reduce flight time or fuel usage. In nowadays Airlines are heavily overloaded and anxious to minimize the aircrafts fuel usage costs, increase airplanes, and optimize the paths or the flight routes in order to find the most optimal suitable flight paths. This paper presents a new path planning method that deal with such problem effectively, the idea was to produce flights routes by allowing the ATCO, or the pilot to select better fuel-efficient routes with reducing flight time. This work has been done by using modified ‘Rapidly Exploring Random Tree’ (RRT) path planning algorithm in dynamic cluttered environment with collision avoidance. The experiment of the developed algorithm simulation experiment shows promising result for future research.

Using a Hybrid Model on Joint Scheduling of Berths and Quay Cranes—From a Sustainable Perspective

In response to the problem of the unfair distribution of berths and quay cranes, as well as the optimization of the traffic path in port scheduling, a berth-crane joint scheduling model is proposed. Firstly, a ship is coded according to its geographical location and its arrival time in the form 0, 1. Then, the shortest port time, the minimum system cost, and the minimum unfairness are taken into account with the status quo of the port. Thus, a multi-objective joint scheduling model is established and solved by an improved NSGA-II algorithm. Finally, a practical example is given to verify the validity of the proposed method, the stable and the convergent of the proposed method are proved by many times computer simulations. The novelty of this paper is that we have taken psychological factors of fairness as well as social factors of sustainable development into consideration, and proposed an improved NSGA-II algorithm with random repair operator and self-adaptive operator to solve the multi-objective decision problem on joint scheduling of berths and quay crane.