Evaluation Model for the Level of Service of Shared-Use Paths Based on Traffic Conflicts

Abstract

As a product of urban motorized traffic, sharing roads between pedestrians and non-motor vehicles has been widely used in the world. In order to improve the service quality of slow traffic, it is necessary to evaluate the service level of the shared-use path to determine whether the road is suitable for setting up shared forms. Therefore, the purpose of this study is to provide an analytical framework to quantify and accurately express the service level of shared-use paths. Considering the direct impact of traffic conflicts on service quality, fuzzy clustering analysis is used to analyze traffic conflicts. Then, the corresponding relationship between traffic conflict events and service levels is established, and the classification criteria of the service levels at all levels and the corresponding range of conflict events are determined. By judging the interval in which the number of conflict events belongs, we can determine the service level of the shared-use path, and then determine whether the slow-moving road is suitable for sharing between pedestrians and non-motor vehicles. The research results can provide a reference for traffic management departments to determine the service level and applicability of shared roads.

Formation of the Traffic Flow Rate under the Influence of Traffic Flow Concentration in Time at Controlled Intersections in Tyumen, Russian Federation

“…A graphical display of the model of the influence of the traffic light control cycle on the traffic flow rate ( 17) is shown in Figure 9. For the mathematical model (17), the numerical values of its parameters and statistical characteristics were determined (Table 8). The numerical values of the determination coefficients of the model of the influence of the traffic light control cycle on the traffic flow rate for the left-turn and forward directions of the traffic flow were 0.74 and 0.71, respectively, and the correlation coefficients were 0.86 and 0.84, respectively, which also confirmed the high strength of the relationship between the variables.…”

“…For this, based on previously performed studies, a complete list of factors was compiled, and a preliminary selection of the most significant of them was made. The factors influencing the change in the traffic flow rate were consolidated into the following groups [1,2,4,6,7,9,17,[25][26][27][28][29][30][31][32][33][34][35][36][37][41][42][43][44]:…”

“…Currently, in science and world practice, there is no one way to solve the problem of increasing the efficiency of traffic management in cities in terms of preventing traffic congestion on the road network. Conventionally, three global approaches can be distinguished: the road-building approach [1,8], the organizational and administrative approach [1,[8][9][10][11][12][13][14][15][16][17][18][19], and the approach consisting of the use of intelligent transport systems [8,[20][21][22][23][24]. The names of the approaches reflect a set of key measures that are proposed to resolve transport problems.…”

“…The road-building approach consists of improving the existing and designing a new road network and its infrastructure facilities [1,8]. The essence of the organizational and administrative approach lies in all kinds of restrictions on the movement of cars and the development of public transport, including alternative ways of moving around the city [1,[8][9][10][11][12][13][14][15][16][17][18][19]. The third approach, mentioned above, involves introducing intelligent transport systems, as well as their subsystems at various levels [8,[20][21][22][23][24].…”

Assessing and improving active travel around urban hospitals: A case of Xiangya hospital, China

“…Consequently, pedestrians and cyclists face inconvenience and encounter safety hazards. However, providing safe infrastructure can mitigate car risks to cyclists [ 13 , 14 ]. The odds of injury per kilometer on roads with bicycle lanes are one in nine on major roads without bicycle infrastructure [ 15 ].…”