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A model of speed profiles for traffic calmed roads
Institution:1. Núcleo de Transportes-Universidade Federal de Minas Gerais, Brazil;2. Institute for Transport Studies, The University of Leeds, Leeds LS2 9JT, UK;1. Department of Industrial Engineering and Management, Ben Gurion University of the Negev, Israel;2. Department of Industrial Engineering and Management, Ariel University, Israel;3. Ran-Naor Institute, Israel;1. Department of Civil Engineering, Tsinghua University, Beijing, China;2. Lyles School of Civil Engineering, Purdue University, USA;1. School of Computer Engineering, Shenzhen Polytechnic, China;2. School of Software, Tsinghua University, China;3. Department of Computer Science and Engineering, Michigan State University, United States;4. School of School of Automotive & Transportation Engineering, Shenzhen Polytechnic, China;5. Department of Computer Science and Engineering, Shanghai Jiao Tong University, China
Abstract:The influence of traffic calming measures on the speed of unimpeded vehicles has been investigated by evaluating differences in speed profiles obtained from various combinations of traffic calming measures. A case study has been conducted in the City of York (UK) focusing on traffic calming measures such as speed humps (flat-topped and round topped), speed cushions and chicanes implemented in sequence. Vehicles' passing times were simultaneously recorded at 16 points along each traffic calmed link. From these data a speed profile for each individual vehicle could be derived. An empirical model was developed using multiple regression analysis techniques based on data collected at three calibration sites. Speeds along these links were described as a function of the input speed, the type of measure and the distance between measures. The speed profile model was shown to be a good representation for the data from the calibration sites. It efficiently predicted speeds of unimpeded vehicles over a given combination of traffic calming measures in sequence. The validation process, based on data collected at three validation sites, also indicated that the model provided a good representation of the observed profiles at these sites, with the exception of the prediction of the effects of the chicanes on speeds. This type of measure was shown to produce diverse impacts on speeds which depended on the detailed design. While the model is a useful design tool, recommendations have been made for further enhancement to it.
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