By virtue of their variability, mass and speed have important roles in transferring energies during a crash incidence (kinetic energy). The sum of kinetic energy is important in determining an injury severity and that is equal to one half of the vehicle mass multiplied by the square of the vehicle speed. To meet the Vision Zero policy (a traffic safety policy) prevention activities should be fo...

The paper presents the preliminary result of the development of the eDPP (enhanced Dynamic Path Predictor) during overtaking situations. The eDPP application offers a higher degree of accident prevention through: advanced driver-information and driver-warning strategies; improved actuation using the new and enhanced ADASIS v2 (Advanced Driver Assistance Systems Interface Specifications, version...

type of traffic management system, IntelliDrive is quickly gaining popularity and is increasingly being deployed. Because IntelliDrive enables frequent vehicle-to-vehicle and vehicle-to-infrastructure communications, the availability of traffic data is expected to explode in coming years. Hence, data-driven or data-based research shall expand and play an increasingly important role, too. Rich d...

Traffic regulation must be respected by all vehicles, either humanor computerdriven. However, extreme traffic situations might exhibit practical cases in which a vehicle should safely and reasonably relax traffic regulation, e.g., in order not to be indefinitely blocked and to keep circulating. In this paper, we propose a high-level representation of an automated vehicle, other vehicles and the...

This paper presents a virtual lab of connected vehicle technology. The virtual lab features an interactive website where remote users, who are unable to learn connected vehicle technology at expensive real labs, can interact with the virtual environment. A team of traffic engineers, computer scientists/engineers, and electrical engineers propose this integrated and high-fidelity simulation plat...

In recent years the number of vehicles in roads have increased, which has causes high density in traffic and further problems like accident and road congestion. A solution regarding to this problem is vehicle-to-vehicle communication, where vehicles are able to communicate with their neighboring vehicles even in the absence of central base station to provide safe and more efficient road informa...

This paper presents an ecological (eco) driving system based on prediction of the preceding vehicle using model predictive control. At any measured road-traffic states it computes the optimal vehicle control input using the models of the vehicle dynamics and fuel consumption. The prediction model the preceding vehicle is formulated based on experimentally obtained driving data. The proposed sys...

This paper addresses the problem of vehicle detection from an image sequence in difficult cases. Difficulties are notably caused by relatively small vehicles, vehicles that appear with low contrast or vehicles that drive at low speed. The image sequence considered here is recorded by a hovering helicopter and was stabilized prior to the vehicle detection step considered here. A practical algori...

In this paper, the author quantified the city traffic environment carrying capacity on the basis of the relationships among traffic environment carrying capacity、the bearing capacity of the urban traffic and urban environmental capacity. And based on the actual vehicle maintain models of Jinan city, the author adjusted the formula of motor vehicle exhaust emission source ,then fixed the OPSM st...

For satisfactory traffic management of an intelligent transport system, it is vital that traffic microwave radar detectors (TMRDs) can provide real-time traffic information with high accuracy. In this study, we develop several information-aided smart schemes for traffic detection improvements of TMRDs in multiple-lane environments. Specifically, we select appropriate thresholds not only for rem...