In comparison with the original signal scheme, the optimized one can reduce 14.2% of average vehicle delays, 18.9% of vehicle stops, 9.1% of average travel time, and 2.3% of pollutant emissions in this specific case. Three critical information items including the traffic volumes, vehicle compositions, and vehicles’ turning ratios are derived from real-time surveillance videos, and the extracted information is then automatically incorporated into TM to optimize the signal timings of interconnected intersections in a near-real-time manner.
The proposed integrative framework is demonstrated through a case study of the signal timing optimization at multi-intersections in a real-world road network. The integrative framework consists of six main steps, including configuring real-time video sources, conducting transfer learning to develop the vehicle detector, comparing and selecting vehicle trackers, collecting traffic parameters by referring to the CV-TM ontology, establishing and running the traffic model, and operating simulation-based optimizations. A framework that integrates computer vision and traffic modeling is proposed to link the real-world transport systems and operable virtual traffic models for the signal timing optimization at multiple intersections. The serviceability assessment method in this paper provides a new idea for planners to conduct sustainability evaluation for UPRS in future urban renewal development.Īdaptive signal timing optimizations can improve the efficiency of road networks and reduce the emissions of pollutants, but most of the current studies still rely on simplified analytical methods to depict complex road transport systems and focus on optimizing traffic signals at an isolated intersection. The applicability of the established evaluation system is finally verified through a real case study in Harbin, China. Fuzzy evaluation based on AHP is further modeled, and the DEA is employed to achieve an overall evaluation of the quality of service (QoS) for UPRS. A nine-step semantics scale of relative importance was used so that the symmetry of the response of pedestrian satisfaction was maintained. Consequently, the integration of the fuzzy AHP and DEA-based symmetrical technique for the subjective evaluation indicator combined with pedestrian traffic characteristics is developed. Then, the indicators are classified into two types of crosswalk facilities and sidewalk facilities, and a comprehensive pedestrian road indicator system with the combination of subjective and objective is established. This paper comprehensively considers the sidewalk’s facilities environment and the status of pedestrian traffic flow divides the urban pedestrian road system (UPRS) into five subsystems around the underpass, overpass, crosswalk, sidewalk, and road crosswalk and introduces the basic structure as well as the function of each system. Increasingly, cities worldwide are striving for green travel and slow traffic, and vigorously developing people-oriented urban pedestrian traffic with sustainability has become a fixture in recent discourse. It also demonstrates that the integrated blue-green approach is a promising way of improving local air quality, micro-climatic conditions, and human comfort. The results indicate that the most effective way of achieving an environmentally- and pedestrian- friendly urban design is to concentrate on both the integration within the transport infrastructure and public space system and the mitigation of the system externalities (e.g., air pollution and heat exhaustion).
#OPEN PEAKHOUR CONFIGURATION WIZARD SERIES#
A case study in Beijing, China, is presented utilizing the proposed urban modeling-design framework to support the assessment of a series of transport infrastructure and public space scenarios, including the Baseline scenario, a System-Internal Integration scenario, and two External Integration scenarios. In addition, the effects of five urban design strategies on traffic pollution and pedestrian level microclimate are evaluated (i.e., a “two-fold” evaluation). This method couples a mesoscale agent-based traffic prediction model, traffic-related emission calculation, microclimate simulations, and human thermal comfort assessment. A novel multiscale simulation method for supporting an integrated transportation infrastructure and public space design is presented in this paper. Traditional urban and transport infrastructure planning that emphasized motorized transport has fractured public space systems and worsened environmental quality, leading to a decrease in active travel.
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