ARTÍCULO
TITULO

Traffic Flow Characteristics for Multilane Highways in India

K. Jain    
S.S. Jain    
M. Singh    

Resumen

The traffic composition on multilane highways in India comprises of a wide range of vehicles in terms of their type, size, engine power, manoeuvring ability, etc. This mix of vehicles with different operating capabilities results in a broad range of speed. Slow moving or non-motorized vehicles occupy the lower ranges of speed spectrum whereas the new technology cars dominate the higher ranges. To understand the real traffic behaviour, it requires quantification of some of the basic traffic flow characteristics such as Speed, Flow, Density and Occupancy through which the capacity can be derived. The radical changes in road network and vehicle technology have resulted in variations in speed-flow characteristics and subsequently road user costs. The problems arise out of three major aspects associated with several types of vehicles in the traffic mix i.e. speed and acceleration capabilities of vehicles, their manoeuvres and lateral clearance requirements within the right of way. The main objective of the present study is to estimate the basic traffic flow parameters for six lane divided traffic stream under study and to evolve speed-flow relationships for six lane divided carriageways for different vehicle types. In the present study, linear models have been developed for speed-flow equations for different vehicles on each lane of selected road sections of six-lane divided carriageway.

 Artículos similares

       
 
Jinqiang Yao, Yu Qian, Zhanyu Feng, Jian Zhang, Hongbin Zhang, Tianyi Chen and Shaoyin Meng    
With the development of vehicle-road network technologies, the future traffic flow will appear in the form of hybrid network traffic flow for a long time. Due to the change in traffic characteristics, the current hard shoulder running strategy based on t... ver más
Revista: Applied Sciences

 
Chang Guo, Jianfeng Zhu and Xiaoming Wang    
In recent years, the rapid growth of vehicles has imposed a significant burden on urban road resources. To alleviate urban traffic congestion in intelligent transportation systems (ITS), real-time and accurate traffic flow prediction has emerged as an ef... ver más
Revista: Applied Sciences

 
Zheng Zhao, Jialing Yuan and Luhao Chen    
Air Traffic Flow Management (ATFM) delay can quantitatively reflect the congestion caused by the imbalance between capacity and demand in an airspace network. Furthermore, it is an important parameter for the ex-post analysis of airspace congestion and t... ver más
Revista: Aerospace

 
Lei Zhou, Weiye Xiao, Chen Wang, Haoran Wang     Pág. 143 - 161
Human mobility datasets, such as traffic flow data, reveal the connections between urban spaces. A novel framework is proposed to explore the spatial association between urban commercial and residential spaces via consumption travel flows in Shanghai. A ... ver más

 
Yuzhe Liu, Libo Chen, Yusu Xu and Jingqiu Yang    
Contemporary studies largely concentrate on the physical aspects of architecture, yet within the sphere of design, the gap between user experience and the designer?s intention is an undeniable fact. This gap, illustrating the contrast between the spatial... ver más
Revista: Buildings