1. History The vehicles with load capacity over 8 tons are classified as heavy vehicles according to China auto industry standards. The first 8t track, JN150, was made in 1960 by Jinan Auto Works. This COE, 4×2 t...1. History The vehicles with load capacity over 8 tons are classified as heavy vehicles according to China auto industry standards. The first 8t track, JN150, was made in 1960 by Jinan Auto Works. This COE, 4×2 truck, simple in structure, OK in technical展开更多
1. Background China started producing special purpose vehicles in 1957. In 1970, there were about 20 identified spe-cial vehicle manufacturers with the total annual output of 4,697 units, which covered 5.4% of total t...1. Background China started producing special purpose vehicles in 1957. In 1970, there were about 20 identified spe-cial vehicle manufacturers with the total annual output of 4,697 units, which covered 5.4% of total truck production of that year. In 1980, the number of special vehicle manu-facturers increased to around 50 andthe total output reached 16,000 u-nits, which took 7.2% of the total truck production of that year. In the 1970s, major展开更多
In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemina...In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemina- tion system in many cities. However, the recent massive construction of urban elevated roads hinders the processing of corresponding GPS data and further extraction of traffic information （e.g., identifying the real travel path）, as a result of the frequent transfer of vehicles between ground and elevated road travel. Consequently, an algorithm for identifying the travel road type （i.e., elevated or ground road） of vehicles is designed based on the vehicle traveling features, geometric and topological characteristics of the elevated road network, and a trajectory model proposed in the present study. To be specific, the proposed algorithm can detect the places where a vehicle enters, leaves or crosses under elevated roads. An experiment of 10 sample taxis in Shanghai, China was conducted, and the comparison of our results and results that are obtained from visual interpretation validates the proposed algo- rithm.展开更多
文摘1. History The vehicles with load capacity over 8 tons are classified as heavy vehicles according to China auto industry standards. The first 8t track, JN150, was made in 1960 by Jinan Auto Works. This COE, 4×2 truck, simple in structure, OK in technical
文摘1. Background China started producing special purpose vehicles in 1957. In 1970, there were about 20 identified spe-cial vehicle manufacturers with the total annual output of 4,697 units, which covered 5.4% of total truck production of that year. In 1980, the number of special vehicle manu-facturers increased to around 50 andthe total output reached 16,000 u-nits, which took 7.2% of the total truck production of that year. In the 1970s, major
文摘In recent years, the increasing development of traffic information collection technology based on floating car data has been recognized, which gives rise to the establishment of real-time traffic information dissemina- tion system in many cities. However, the recent massive construction of urban elevated roads hinders the processing of corresponding GPS data and further extraction of traffic information （e.g., identifying the real travel path）, as a result of the frequent transfer of vehicles between ground and elevated road travel. Consequently, an algorithm for identifying the travel road type （i.e., elevated or ground road） of vehicles is designed based on the vehicle traveling features, geometric and topological characteristics of the elevated road network, and a trajectory model proposed in the present study. To be specific, the proposed algorithm can detect the places where a vehicle enters, leaves or crosses under elevated roads. An experiment of 10 sample taxis in Shanghai, China was conducted, and the comparison of our results and results that are obtained from visual interpretation validates the proposed algo- rithm.
