Accurate real-time traffic forecasting is a core technological problem against the implementation of intelligent transportation system. However, it remains challenging considering complex spatial and temporal dependencies among flows. In dimension, due to connectivity road network, flows between linked roads are closely related. although there exists tendency adjacent time points, importance distant points not necessarily less than that recent ones, since also affected by external factors....

With the development of intelligent transportation system (ITS) and vehicle to X (V2X), connected is capable sensing a great deal useful traffic information, such as queue length at intersections. Aiming solve problem existing models' complexity information redundancy, this paper proposes model based on V2X technology, which consists two sub-models shockwave back propagation (BP) neural network sensing. First, obtains state vehicles analyzes formation process queue, then it calculates...

In order to identify the abnormal road surface condition efficiently and at low cost, a recognition method is proposed based on vibration acceleration generated by smartphone when vehicle passes through surface. The improved Gaussian background model used extract features of pavement, k-nearest neighbor (kNN) algorithm distinguish pavement types, including pothole bump. Comparing with existing works, influence vehicles different suspension characteristics detection threshold studied in this...

In this article, a novel vibration control scheme of suspension systems is proposed. It combines the advantages quasi-zero stiffness isolator, nonlinear energy sink absorber, and inerter. This proposed can achieve low transmissibility, amplitude, additional weight resolve conflict between riding comfort handling stability. Strong equations quarter-vehicle system are established. also presents detailed process high-order harmonic approximation to obtain steady-state responses. Moreover,...

ABSTRACT Packet routing is one of the critical factors that affect network performance and security, with goal finding optimal path for packets from source node to destination node. However, diversification architectures, differences in application requirements, time‐varying characteristics topologies, limitations traditional model‐ rule‐based algorithms terms computational overhead flexibility are becoming increasingly apparent. This paper designs a packet strategy based on multiagent deep...

Vehicle speed trajectory and traffic signals significantly impact vehicle's fuel consumption travel time in the urban road network. In this paper, we proposed an optimal vehicle routing algorithm that takes waiting at signalized intersections eco-driving model into consideration. First, data of floating car collected by GPS are matched with electronic map, average traveling each segment is calculated real time. The position timing information signal lights intersection pre-acquired to...

Car-following is an essential trajectory control strategy for the autonomous vehicle, which not only improves traffic efficiency, but also reduces fuel consumption and emissions. However, prediction of lane change intentions in adjacent lanes problematic, will significantly affect car-following especially when vehicle changing a connected unintelligent without expensive accurate sensors. Autonomous vehicles suffer from vehicles' abrupt changes, may reduce ride comfort increase energy...

Most existing signal timing plans are optimized given vehicles' arrival time (i.e., the for upcoming vehicles to arrive at stop line) as exogenous input. In this paper, based on connected vehicle (CV) technique, can be regarded moving sensors, and their dynamically adjusted by speed guidance according current status traffic conditions. Therefore, an integrated control model is proposed in study optimize (or travel speed) simultaneously. "Speed a red light" "speed green presented influences...

Traffic flow forecasting is a basic function of intelligent transportation systems, and the accuracy prediction great significance for traffic management urban planning. The main difficulty predictions that there complex underlying spatiotemporal dependence in flow; thus, existing graph neural network (STGNN) models need to model both temporal spatial dependence. Graph networks (GNNs) are adopted capture flow, which can symmetric or asymmetric relations between nodes network. transmission...

Nowadays, traffic infrastructures and vehicles are connected through the network benefiting from development of Internet Things (IoT). Connected automated cars can provide some useful information. An architecture algorithm mobile service computing proposed for state sensing by integration between IoT transport system models (TSMs). The formation process queue at this intersection is analyzed based on information velocity shockwave calculated to predict length. results be delivered edge...

This short paper introduces a new adjacency matrix to represent the topological changes of metamorphic mechanisms. An element “−1” is introduced indicate frozen kinematic pairs, which gives an easy way transformation and dimension kept unchanged after transformation. In this way, information original mechanism preserved all possible can be derived according matrix. A demonstration example included.

As one of the most commonly used manufacturing processes, stamping operations are applied to an extended range from centimeter-class parts meter-class parts. The demand for quality and productivity products is ever increasing. Hence, extraction appropriate feature implement on-line monitoring has been attempted. vibration signals provide rich information finding dynamic behavior at high frequency press. In this paper, accelerometer employed in place tonnage sensors or strain gauges monitor...

Based on the increasing demands of transportation development, concept an Intelligent Transportation System (ITS) has received attention in both academic and industry arenas. It integrates information, communications, computers other technologies, applies them field to build integrated system people, roads vehicles by utilizing advanced data communication technologies. can establish a large, fully functioning, real-time, accurate efficient management system. systems shift focus from road...