The Review of Vehicular Safety Enhancement Through Wireless Protocol

Nowadays, Transportation is one of the primary and major needs of almost every human being that cannot be avoided. The road congested or road traffic are due to The increases in vehicles, which in turn results in road safety and increase accidents. In current society, there are many modern cars with tremendous features in it like, Mercedes, BMW, Audi, and Tesla and so on. Those cars are highly technical and even higher in price. Many people are not economical on buying those vehicles because the middle range vehicles are not capable of much attributes like, visualizing performance, driver safety and so on.., Anyway , the action of using something that is of highly mobile and energy limitation UVs for wireless communications also introduces many new provocation. Hence, we use Vehicle to Vehicle communication and vehicle to infrastructure communication are to reduce crashes. In addition to this, for an Electric unmanned vehicle we use Wireless charging to charge the vehicle with the help of the Tesla coil. In this system we use a (Dedicated short range communication) DSRC and Zigbee. Both DSRC and Zigbee are used for the communication between the vehicles within a certain range. Dedicated short range communication (DSRC) protocol is used for the network access since it reduces the delay in transmission time. Resentencing, there are research shows that using DSRC has a performance issue in a dense area or increased network load hence Zigbee is used along with DSRC since Zigbee perform well in dense area.

A cooperative heterogeneous vehicular clustering framework for efficiency improvement

Heterogeneous vehicular clustering integrates multiple types of communication networks to work efficiently for various vehicular applications. One popular form of heterogeneous network is the integration of long-term evolution (LTE) and dedicated short-range communication. The heterogeneity of such a network infrastructure and the non-cooperation involved in sharing cost/data are potential problems to solve. A vehicular clustering framework is one solution to these problems, but the framework should be formally verified and validated before being deployed in the real world. To solve these issues, first, we present a heterogeneous framework, named destination and interest-aware clustering, for vehicular clustering that integrates vehicular ad hoc networks with the LTE network for improving road traffic efficiency. Then, we specify a model system of the proposed framework. The model is formally verified to evaluate its performance at the functional level using a model checking technique. To evaluate the performance of the proposed framework at the micro-level, a heterogeneous simulation environment is created by integrating state-of-the-art tools. The comparison of the simulation results with those of other known approaches shows that our proposed framework performs better.

Sensitivity Analysis of the Transit Signal Priority Requesting Threshold and the Impact on Bus Performance and General Traffic

An analysis was performed to evaluate the impact of changing the transit signal priority (TSP) requesting threshold on bus performance and general traffic, using field-generated data exclusively. Route 217, a conventional bus route that uses a dedicated short-range communication (DSRC)-based TSP system as part of its normal day-to-day operations, was analyzed over a three-month period from May 2019 through August 2019. The requesting thresholds evaluated for Route 217 were 3, 2, and 0 min, which stipulate how far behind schedule the bus must be to request TSP. For each requesting threshold, bus performance was evaluated through on-time performance (OTP), schedule deviation, travel time, and dwell time, while the traffic analysis was performed by evaluating split failure, change in green time, and the frequency at which TSP was served. A combination of observational and statistical analyses concluded with convincing evidence that OTP, schedule deviation, and travel time improve as the requesting threshold approaches zero with negligible impacts on general traffic. As the requesting threshold changed from 3, to 2, to 0 min, OTP increased 2.0% and 2.5%, respectively; mean schedule deviation improved by 15.9 s and 20.9 s, respectively; and travel time decreased at 75% of timepoints. Meanwhile, negative impacts to traffic occurred if an increase in split failure was measured after TSP was served, a phenomenon observed a maximum of once every 43 min. Thus, it is concluded that bus performance improves as the requesting threshold approaches zero with inconsequential impacts on general traffic.

Simulation Environment for Visualizing Connected Ground and Air Traffic

Cameras are the most popular sensors deployed on unmanned aerial vehicles (UAV) and many studies since 2000 have shown their ability to track vehicles and monitor traffic. At the same time, dedicated short-range communication (DSRC) and cellular vehicle to everything (C-V2X) communication technologies are gaining momentum in both standardization and implementation. In this work, we create a simulation environment that provides capabilities to simulate connected ground and air traffic in a single application. This environment is built alongside PTV Vissim and has the goal of being one of the default tools used by transportation professionals to simulate air vehicles and communication for ground traffic use cases. Vissim event-based scripts and a custom Python package called PyPTV form the foundation of this simulation environment. This work first discusses the simulation capabilities, software architecture, and techniques used to improve simulation speed. The results then show that this simulation environment can be used in many different cases. Videos are given to show example simulations.