Statistics of Dangerous Cargo Accidents during Highway Transportation

Research on present situation and trends of accidents takes an important role on prevention and control on dangerous cargo accidents during highway transportation. According to the current situation of highway transportation for dangerous cargo, the characteristics of highway transportation system for dangerous cargo are put forward. Statistical analysis of dangerous cargo in China from 2013 to 2019 related to characteristics and consequences are discussed in this study. The different time volatility, spatial distribution and accident consequence features are revealed. Results show that the dangerous cargo of highway transportation system presents a multiple spots, long lines, broad coverage, and high risk features. The annual scale of dangerous cargo accidents shows irregular ‘M’ distribution since 2013. December is the month with the most accidents. Wednesday is the day with the most accidents. Fifth period is the most accidents. Shandong is the province with the most accidents. Normal section is the section with the most accidents. The liquid is the type with the most accidents. Leakage is the most common type of accident. Countermeasures focusing on improving highway transportation safety for dangerous cargo accidents are recommended.

Research on path planning for reducing vibration fatigue of precision equipment transportation

This paper analyzes the safety and reliability problems of large precision instruments and equipment in highway transportation, aiming at reducing the vibration fatigue damage of equipment to the greatest extent from the perspective of road planning. Based on the dynamic response model of the equipment, the relationship between the ground spectrum response and the cumulative fatigue damage of the equipment is analyzed. Based on the method of probability and statistics, an equipment fatigue prediction model is established. Based on the study of the relationship between the roughness of pavement grade and the reliability of equipment, the low-risk path planning is proposed. This paper adapts the Dijkstra shortest path algorithm. Not only the basic information such as the length of the highway is considered, but also the road factors related to the reliability of the equipment and the environmental factors affecting the driving safety are considered. Try to avoid the adverse environment which has a great impact on the reliability of the equipment, reduce the vibration fatigue of the equipment in the process of transportation and improve the quality of transportation. Using Geographic Information System (GIS) secondary development, database, Global Positioning System (GPS) positioning and other technologies, this paper provides users with the shortest path and low-risk path planning for reference, which has a certain practical significance for highway transportation of high reliability products such as vulnerable products, precision instruments and special equipment.

Analysis of the Relationship Between Railway and Highway Transportation and China's Economic Development

China has a vast land area and frequent interconnections between various regions. China's transportation industry is faced with tremendous pressure. This article combines China’s railway and highway transportation conditions to predict China’s economic development, uses stepwise regression to screen explanatory variables, and finally determines railway passenger turnover, road freight volume and passenger car ownership as the explanatory variables, and GDP as the dependent variable, and also analyzes China’s economic development by establishing a multiple regression model.

Bayesian Network-Based Knowledge Graph Inference for Highway Transportation Safety Risks

Accurate inference of knowledge about highway transportation safety risks forms a crucial aspect of building a knowledge graph. Based on the data related to highway transportation accidents, this study has developed a Bayesian network model. The initial identification of the network nodes is through expert scoring. The network structure is then constructed by utilizing the prior expert knowledge and K2 greedy search algorithm. Later, the network parameters are trained via the expectation-maximization (EM) algorithm. Finally, knowledge about highway transportation safety risks is inferred using the junction tree algorithm. A comparison is made between the trained conditional and actual probabilities during the network parameter training to verify the validity of the proposed model that accords with expert experience, thereby proving the model validity. Further, its main “causal chain” is inferred to be an improper emergency response-human failure-accident occurrence, where the probability of driver failure is 82%, and the probability of accident occurrence is 68% by taking “a certain road traffic accident” as an example. There is consistency between the inference results and the actual accident sequence that suggests the effectiveness of the proposed knowledge inference method.

A Research On The Perception Of Service Quality Of Intercity Passenger Transport: The Example Of Black Sea Region

Highway passenger transportation sector stands out as a growing passenger transport sector in Turkey. Transport companies have to take into account the expectations of customers in order to survive and advance in this sector. For this reason, the measurement of the perceived and expected service quality of the customers is becoming important. In this study, a survey will be carried out on the service quality of highway intercity passenger transportation within the city of Tokat. It is explained why customer satisfaction and perception are very important for service providers, in highway passenger transportation which is one of the important sectors in our country. In this context, it has been understood that it is necessary to measure perceived and expected service quality of the customers. With this data, it will be possible to make improvements and improvements to the preferences of the customers. In this study it is examined the quality of the services primarily offered by the highway passenger transport sector, which is among the important sectors of our country in terms of both the economic magnitude and the employment it provides. For this aim the highway transportation literature is surveyed and according to literature using SERVQUAL scale one questionnaire is implemented to 400 people in Tokat. Then the collected data is analyzed with SPSS 24.0. According to test results age, monthly income and the travel purpose effects the highway transportation service quality perception of the passengers. In addition to this Service Quality Scale (SERVQUAL) is tested and found reliable and valid for highway passenger transport sector in Turkey.

Evaluation Methodology of Leader-Follower Autonomous Vehicle System for Work Zone Maintenance

Mobile and slow-moving operations, such as striping, sweeping, bridge flushing, and pothole patching, are critical for efficient and safe operation of a highway transportation system. However, reducing hazards for roadway workers and achieving a safer environment for both roadway maintenance operators and the public is a challenging problem. In 2017 alone, a total of 158,000 vehicle crashes occurred in work zones in the U.S.A., accounting for 61,000 injuries. The autonomous truck-mounted attenuator (ATMA) vehicle, sometimes referred to as an autonomous impact protection vehicle (AIPV), offers a promising solution to eliminate injuries to roadway maintenance workers and the public. This paper presents the evaluation methodology for the ATMA system, as well as the outcomes of field testing in Sedalia, Missouri. To the best of the authors’ knowledge, this is the first academic research to focus on ATMA. The ATMA system is first reviewed, followed by an introduction to the field testing procedures that includes descriptions of test cases and data collected, and their format. An analysis methodology is then proposed to quantitatively evaluate the system’s performance, and statistical models and hypothesis testing procedures are developed and presented. The numerical analysis results from real-world field testing under a controlled environment are presented, and the ATMA system’s performance is summarized. This paper can serve as a reference for transportation agencies that are interested in deploying similar technologies or for academic researchers to assess characteristics of autonomous vehicles and to apply knowledge gained in transportation modeling and simulation practices.