Titlebook: ;

Mangle

A Pedestrian Crowd Classification Method Based on the AFC Data in the Urban Rail Transit,hapter, a pedestrian crowd classification method based on an improved ant colony clustering algorithm (ACCA) is developed for MRT systems. First, survey data from Automatic Fare Collection (AFC) regarding three statuses (check-in/check-out and sum). Second, the PCI-influenced factors were also consi

债务

Gossamer

Safety Risk Assessment Model of Heavy-Haul Transport,d based on the theory of risk matrix and G1 method. First, the paper constructs the risk assessment index system, which consists of 28 risk factors involved four types of personnel, equipment, environment, and management. Second, the risk factors are sorted by Borda value method, and the key risk fa

Gudgeon

An Optimal Transmission Reliability Enhancement Mechanism for Cooperative Driving System,th potential collision warnings in the vicinity of the intersection. In the vicinity of the intersection, vehicular ad hoc networks (VANET) are a long-term solution contributing significantly toward vehicle cyber-physical systems (VCPS) in providing access to cooperative driving system. Thus, the co

Brittle

说笑

舰旗

ostracize

Using Loop Detector Big Data and Artificial Intelligence to Predict Road Network Congestion,floating car data to analyze the urban congestion, however, its market penetrate is low in many cities, thus the data is not enough in terms of quantity and coverage. Loop detector is the most frequently used sensor, its data has the attributes of long-term and large-scale coverage, and utilizing th

占线

,Traffic Performance Comparison of Short-Term and Long-Term Driving Restriction Policy—A Case Study ical example to evaluate the effects of the two policies in this study. First, traffic survey of several segments and intersections was conducted to compare their traffic volume before and after the implementation of driving restriction policy. Then, a revealed preference-based survey was conducted

和音

Gábor Péter,Edina Szandra Nagy,Dénes Dlauchymake it clear whether a university is suitable or not for the policy. It is discovered that the location of the campus is the first factor considered, and the problems of fairness, overflow effects, the utilization efficiency of resources, and transparent of the fees will happen. Therefore, advices