Development Of Traffic Management Systems Research Articles

Immediate traffic flow monitoring and management based on multimodal data in cloud computing

This study uses cloud computing platform to process multi-modal data, and constructs a traffic flow prediction model based on LSTM neural network by integrating data from multiple dimensions such as traffic flow, occupancy and speed. In the process of model construction, we fully consider the hourly characteristics and hysteresis characteristics, and carry out fine scaling and splitting of the data to improve the accuracy and generalization ability of the model. The experimental results show that our model outperforms the baseline on both the training set and the test set, which verifies its effectiveness in traffic flow prediction. By keeping our models in a cloud environment, we provide reliable tools and support for future real-time data analysis and traffic management decisions. This study provides an important reference for the development of traffic management system based on cloud computing, and also provides new ideas and methods for other fields to solve practical problems by using multi-modal data.

Methodology for assessing the level of development and efficiency of the functioning of the traffic management system, taking into account the environmental factor

The scientific article presents a methodology for assessing the level of development and efficiency of traffic management systems, taking into account environmental factors. The order and algorithms for all calculations to assess the level of effectiveness for road traffic management systems of motor transport, while taking into account the impact of environmental factors, are provided. The methodology for assessing the current state of the traffic management system relies on the degree of deviation of each individual indicator from its target value. The resulting value of the composite indicator for the system’s condition is then compared to its standard value, and an estimated overall state for the system is determined. According to some indicators, there has been an increase in emissions of toxic substances in the city's streets and roads, which are assessed as “poor”. To improve the state of the environment, an immediate set of organizational and technical measures has been proposed for the rational development of the traffic management system.

Reliable and Secure Distributed Smart Road Pricing System for Smart Cities

Vehicular networks have emerged as a promising technology for the development of traffic management systems in smart cities. They are expected to revolutionize a variety of applications such as traffic monitoring and pay-as-you-drive services. Recently, the notion of road pricing has become crucial in most big cities as it contributes in road congestion avoidance, fuel consumption saving, and pollution reduction. However, as the road pricing systems need trip data to invoice citizens, it is vital to ensure geolocation privacy while keeping drivers honest. In this paper, we propose a security approach for smart road pricing systems, which prevents toll evasion violations. The proposed approach operates under a fully distributed threshold-based control system to detect fraudulent drivers trying to cheat on their tolls. The accused drivers are reported to the toll server in order to take the appropriate countermeasures. Through the security analysis, we show the robustness of the proposed approach against a range of potential attacks. We also evaluate the proposed approach through simulations considering important metrics, namely, the storage and communication overheads. The proposed approach shows better performance results in comparison to the existing approaches. Furthermore, we evaluate the proposed approach efficiency in terms of detection precision, where it demonstrates promising results.

TRAFFIC MANAGEMENT SYSTEM AGAINST MAJOR EARTHQUAKES

This paper describes fundamental issues of the traffic management systems and the actual traffic conditions following the Hanshin-Awaji Earthquake. Based on these issues, a new concept of traffic management system against an earthquake disaster is proposed, and the effectiveness of 2-stage area traffic regulation is examined through the case study for accommodation of personal passenger car demand immediately after the earthquake. Additionally an integrated traffic management system against a major earthquake and the related issues are discussed. It is expected that ITS technology will play an important role in the future development of traffic management system during an earthquake disaster.