International Journal of Transportation Science and Technology最新文献_第9页

Investigating pedestrian crash patterns at high-speed intersection and road segments: Findings from the unsupervised learning algorithm 调查高速交叉口和路段的行人碰撞模式：无监督学习算法的发现

IF 4.3

International Journal of Transportation Science and Technology Pub Date : 2024-06-01 DOI: 10.1016/j.ijtst.2023.04.007

{"title":"Investigating pedestrian crash patterns at high-speed intersection and road segments: Findings from the unsupervised learning algorithm","authors":"","doi":"10.1016/j.ijtst.2023.04.007","DOIUrl":"10.1016/j.ijtst.2023.04.007","url":null,"abstract":"<div><p>Pedestrian crashes at high-speed locations are a persistent road safety concern. Driving at high speeds means that the driver has less time to react and make evasive maneuvers to avoid a pedestrian crash. On top of this, other crash-contributing factors such as humans (pedestrians or drivers), vehicles, roadways, and surrounding environmental factors actively interact together to cause a crash at high-speed locations. The pattern of pedestrian crashes also differs significantly according to the high-speed intersection and segment locations which require further investigation. This study applied association rules mining (ARM), an unsupervised learning algorithm, to reveal the hidden association of pedestrian crash risk factors according to the high-speed intersection and segments separately. The study used Louisiana pedestrian fatal and injury crash data (2010 to 2019). Any crash location with a posted speed limit of 45 mph or above is classified as a high-speed location. Based on the generated association rules, the results show that pedestrian crashes at a high-speed intersection are associated with the intersection geometry (3-leg) and control (1 stop, no traffic control device), driver characteristics (careless operation, failure to yield, inattentive-distracted, older, and younger driver), pedestrian-related factors (violations, alcohol/drug involvement), settings (open country, residential, business, industrial), dark lighting conditions and so on. Most pedestrian crashes at high-speed segments are associated with roadways with no physical separation, dark-no-streetlight conditions, open country locations, interstates and so on. The findings of the study may help to select appropriate countermeasures to reduce pedestrian crashes at high-speed locations.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"14 ","pages":"Pages 186-201"},"PeriodicalIF":4.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000369/pdfft?md5=720c7fb170d9a1037b76402ff77a61e3&pid=1-s2.0-S2046043023000369-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44778918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A theoretical model for evaluating the impact of connected and autonomous vehicles on the operational performance of turbo roundabouts 评估联网和自动驾驶车辆对涡轮环形交叉口运行性能影响的理论模型

IF 4.3

International Journal of Transportation Science and Technology Pub Date : 2024-06-01 DOI: 10.1016/j.ijtst.2023.05.001

{"title":"A theoretical model for evaluating the impact of connected and autonomous vehicles on the operational performance of turbo roundabouts","authors":"","doi":"10.1016/j.ijtst.2023.05.001","DOIUrl":"10.1016/j.ijtst.2023.05.001","url":null,"abstract":"<div><p>This article presents a methodology to estimate the entry capacity (EC) and total capacity (TC) of basic turbo roundabouts under partial and fully connected and autonomous vehicle (CAV) environments. EC calculations are partially based on capacity models and adjustment factors proposed by the HCM 7th edition, taking into account different proportions of CAVs in traffic streams. The proposed methodology was applied to a case study concerning a basic turbo roundabout with different traffic demands and market penetration levels (MPLs) of CAVs. It was assumed that the traffic stream consisted of 100% passenger cars with MPLs of CAVs ranging from 0% to 100%. The research proves that with the increase in MPLs of CAVs, ECs increase accordingly and delays and queues decrease. To maximize the TC, a control area was also hypothesized, where CAVs start to communicate with a turbo roundabout manager system. The system should be able to distribute and channel CAVs, and therefore the entering flows between entry lanes find the values of the maneuver distribution factors (α, β, γ, δ) between the right lane and the left lane of entries to maximize the TC for each origin–destination matrix of traffic flows.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"14 ","pages":"Pages 202-218"},"PeriodicalIF":4.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000370/pdfft?md5=5c7df444b447f8c2f66780bf182e1f37&pid=1-s2.0-S2046043023000370-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44130748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Traffic demand prediction using a social multiplex networks representation on a multimodal and multisource dataset 在多模式多源数据集上使用社会复用网络表示的交通需求预测

IF 4.3

International Journal of Transportation Science and Technology Pub Date : 2024-06-01 DOI: 10.1016/j.ijtst.2023.04.006

{"title":"Traffic demand prediction using a social multiplex networks representation on a multimodal and multisource dataset","authors":"","doi":"10.1016/j.ijtst.2023.04.006","DOIUrl":"10.1016/j.ijtst.2023.04.006","url":null,"abstract":"<div><p>In this paper, a meaningful representation of the road network using multiplex networks and a novel feature selection framework that enhances the predictability of future traffic conditions of an entire network are proposed. Using data on traffic volumes and tickets’ validation from the transportation network of Athens, we were able to develop prediction models that not only achieve very good performance but are also trained efficiently, do not introduce high complexity and, thus, are suitable for real-time operation. More specifically, the network’s nodes (loop detectors and subway/metro stations) are organized as a multilayer graph, each layer representing an hour of the day. Nodes with similar structural properties are then classified in communities and are exploited as features to predict the future demand values of nodes belonging to the same community. The results reveal the potential of the proposed method to provide reliable and accurate predictions.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"14 ","pages":"Pages 171-185"},"PeriodicalIF":4.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000357/pdfft?md5=97cb42fbc6d5b584aaeb3bba3759eeb9&pid=1-s2.0-S2046043023000357-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45946765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of noise-cancelling and smoothing techniques in road pavement vibration monitoring data 噪声消除与平滑技术在路面振动监测数据中的应用

IF 4.3

International Journal of Transportation Science and Technology Pub Date : 2024-06-01 DOI: 10.1016/j.ijtst.2023.04.002

{"title":"Application of noise-cancelling and smoothing techniques in road pavement vibration monitoring data","authors":"","doi":"10.1016/j.ijtst.2023.04.002","DOIUrl":"10.1016/j.ijtst.2023.04.002","url":null,"abstract":"<div><p>Road pavement surfaces need routine and regular monitoring and inspection to keep the surface layers in high-quality condition. However, the population growth and the increases in the number of vehicles and the length of road networks worldwide have required researchers to identify appropriate and accurate road pavement monitoring techniques. The vibration-based technique is one of the effective techniques used to measure the condition of pavement degradation and the level of pavement roughness. The consistency of pavement vibration data is directly proportional to the intensity of surface roughness. Intense fluctuations in vibration signals indicate possible defects at certain points of road pavement. However, vibration signals typically need a series of pre-processing techniques such as filtering, smoothing, segmentation, and labelling before being used in advanced processing and analyses. This research reports the use of noise-cancelling and data-smoothing techniques, including high pass filter, moving average method, median, Savitzky-Golay filter, and extracting peak envelope method, to enhance raw vibration signals for further processing and classification. The results show significant variations in the impact of noise-cancelling and data-smoothing techniques on raw pavement vibration signals. According to the results, the high pass filter is a more accurate noise-cancelling and data smoothing technique on road pavement vibration data compared to other data filtering and data smoothing methods.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"14 ","pages":"Pages 110-119"},"PeriodicalIF":4.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000308/pdfft?md5=2148599876a86962ffef7c97fb3bee6b&pid=1-s2.0-S2046043023000308-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41500051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Exploring operational characteristics of stop-controlled T-intersections on rural two-lane highways with passing lanes 农村双车道通行公路停车控制t型交叉口运行特性研究

IF 4.3

International Journal of Transportation Science and Technology Pub Date : 2024-06-01 DOI: 10.1016/j.ijtst.2023.03.005

{"title":"Exploring operational characteristics of stop-controlled T-intersections on rural two-lane highways with passing lanes","authors":"","doi":"10.1016/j.ijtst.2023.03.005","DOIUrl":"10.1016/j.ijtst.2023.03.005","url":null,"abstract":"<div><p>Left turn traffic at unsignalized T-intersection on undivided rural two-lane high-speed highways poses both operational and safety challenges. More complexities are faced by through drivers in the same direction as the stopped or slowed down left-turn vehicle must choose to either slow down and wait or bypass the left-turn vehicle. Therefore, this study intends to explore the operational characteristics of these facilities. The focus is on the reaction of the drivers behind the left-turn vehicle in terms of the types of maneuvers taken to avoid collision and the distance upstream for the evasive maneuvers using field observations. Further, the impact of the drivers’ reaction on the intersection delay is assessed using a simulation analysis of 17 generic 10.5-mile two-lane corridors with varying configurations of passing lanes at or near the intersection with and without a left-turn lane. The field observation findings from five sites reveal that drivers will move to the shoulder to avoid slowing and stopping or colliding with the left-turn vehicle. The distance at which drivers move to the shoulder differs for the sites studied. The simulation results show that a relatively similar magnitude of reduction in intersection delay could be achieved by addition of either passing lane or left-turn lane, such addition is beneficial for at least 17 000 vpd intersection volume where the passing lane does not end within 1 500 ft is downstream of the intersection. The findings are expected to improve traffic operations at T-intersections on rural two-lane highways.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"14 ","pages":"Pages 42-56"},"PeriodicalIF":4.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000266/pdfft?md5=132f036f2708016f7b10e196c42d9e24&pid=1-s2.0-S2046043023000266-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48887553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Factors affecting paratransit travel time at route and segment levels 在路线和路段层面影响副运输时间的因素

IF 4.3

International Journal of Transportation Science and Technology Pub Date : 2024-06-01 DOI: 10.1016/j.ijtst.2023.06.001

{"title":"Factors affecting paratransit travel time at route and segment levels","authors":"","doi":"10.1016/j.ijtst.2023.06.001","DOIUrl":"10.1016/j.ijtst.2023.06.001","url":null,"abstract":"<div><p>Paratransit users have reportedly been unsatisfied with the quality of service that they receive. Efforts at replacing the service or formalizing operations to meet users’ mobility needs have faced challenges or outrightly resisted. Approaches such as providing travel information and deploying interventions along the roadway infrastructure where the government has authority have been suggested. Deploying any of these approaches will require insights from empirical data. The study considered a key measure of service quality to users and operators alike – travel time. It investigated factors affecting the travel time of paratransit at the route and segment levels. A travel time survey that employed a mobile app (Trands) onboard paratransit vehicle was used to collect travel time, stop, and other related information on a selected route. The backward stepwise regression technique was used to determine factors affecting paratransit travel were. Dwell time, signal delay, recurrent congestion index (RCI), non-trip stops, and deviation from route were significant variables at the route level. All the factors affecting segment travel were also part of those involving route travel time except the segment length. Interestingly, deviation from the route increased overall travel time, which is against its logic. Insights gained from the study were used in suggesting proposals that can reduce travel time and improve the service quality of paratransit.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"14 ","pages":"Pages 276-288"},"PeriodicalIF":4.3,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000503/pdfft?md5=7f24c91b60143db6eb3438292e22068f&pid=1-s2.0-S2046043023000503-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49124624","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Application of Conditional Deep Generative Networks (CGAN) in empirical bayes estimation of road crash risk and identifying crash hotspots 条件深度生成网络在道路碰撞风险经验贝叶斯估计和碰撞热点识别中的应用

International Journal of Transportation Science and Technology Pub Date : 2024-03-01 DOI: 10.1016/j.ijtst.2023.02.005

Mohammad Zarei, Bruce Hellinga, Pedram Izadpanah

{"title":"Application of Conditional Deep Generative Networks (CGAN) in empirical bayes estimation of road crash risk and identifying crash hotspots","authors":"Mohammad Zarei, Bruce Hellinga, Pedram Izadpanah","doi":"10.1016/j.ijtst.2023.02.005","DOIUrl":"10.1016/j.ijtst.2023.02.005","url":null,"abstract":"<div><p>The conditional generative adversarial network (CGAN) is used in this paper for empirical Bayes (EB) analysis of road crash hotspots. EB is a well-known method for estimating the expected crash frequency of sites (e.g. road segments, intersections) and then prioritising these sites to identify a subset of high priority sites (e.g. hotspots) for additional safety audits/improvements. In contrast to the conventional EB approach, which employs a statistical model such as the negative binomial model (NB-EB) to model crash frequency data, the recently developed CGAN-EB approach uses a conditional generative adversarial network, a form of deep neural network, that can model any form of distributions of the crash frequency data. Previous research has shown that the CGAN-EB performs as well as or better than NB-EB, however that work considered only a small range of crash data characteristics and did not examine the spatial and temporal transferability. In this paper a series of simulation experiments are devised and carried out to assess the CGAN-EB performance across a wide range of conditions and compares it to the NB-EB. The simulation results show that CGAN-EB performs as well as NB-EB when conditions favor the NB-EB model (i.e. data conform to the assumptions of the NB model) and outperforms NB-EB in experiments reflecting conditions frequently encountered in practice (i.e. low sample mean crash rates, and when crash frequency does not follow a log-linear relationship with covariates). Also, temporal and spatial transferability of both approaches were evaluated using field data and both CGAN-EB and NB-EB approaches were found to have similar performance.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"13 ","pages":"Pages 258-269"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000084/pdfft?md5=2465256101f2d75ef4563dbd4d2c3a56&pid=1-s2.0-S2046043023000084-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45975797","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Contributing factors to right-turn crash severity at signalized intersections: An application of econometric modeling 信号交叉口右转交通事故严重程度的影响因素：经济计量模型的应用

International Journal of Transportation Science and Technology Pub Date : 2024-03-01 DOI: 10.1016/j.ijtst.2023.02.004

Hisham Jashami , Jason C. Anderson , Hameed A. Mohammed , Douglas P. Cobb , David S. Hurwitz

{"title":"Contributing factors to right-turn crash severity at signalized intersections: An application of econometric modeling","authors":"Hisham Jashami , Jason C. Anderson , Hameed A. Mohammed , Douglas P. Cobb , David S. Hurwitz","doi":"10.1016/j.ijtst.2023.02.004","DOIUrl":"10.1016/j.ijtst.2023.02.004","url":null,"abstract":"<div><p>Motorists are required to interact with both roadway infrastructure and various users. The complexity of the driving task in certain scenarios can influence the frequency and severity of crashes. Turning vehicles at intersections, for example, pose a collision risk for both motorized and non-motorized road users. The primary goal of this paper is to investigate the underlying factors which contribute to right-turn crashes at signalized intersections. Five years of crash data across Oregon were collected. A random parameters binary logit model was developed to predict the likelihood of whether a crash resulted in an injury or fatality. It was found that 14 variables were statistically significant in contributing to crash severity. The results obtained show that dry conditions and a posted speed limit of 30 mi/hr or 35 mi/hr contributed to a higher percentage of severe crashes, while fixed-object crashes and snowy weather had a higher likelihood of resulting in no injury crashes. Time-of-day (9:00 p.m. to 6:00 a.m.), lighting conditions (dusk), gender (male driver), crash type (vehicle–pedestrian and rear-end), and driver-level crash cause (driver sped too fast for conditions, driver did not yield right-of-way, and driver disregarded the traffic control device) all led to an increase in probability of a fatal or injury crash. The vehicle–pedestrian conflict variable had the highest impact on increasing the probability of such a crash while turning right at a signalized intersection. This observation is important because right turns are often permitted during the pedestrian walk and clearance indications, and often drivers do not give right-of-way to pedestrians.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"13 ","pages":"Pages 243-257"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000072/pdfft?md5=fd0e83f180d0ceabf126a939db8b49a5&pid=1-s2.0-S2046043023000072-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43694397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An approach of localizing MOVES to estimate emission factors of trucks 一种基于局部move的卡车排放系数估算方法

International Journal of Transportation Science and Technology Pub Date : 2024-03-01 DOI: 10.1016/j.ijtst.2023.02.002

Jiashuo Lei , Chao Yang , Qingyan Fu , Yuan Chao , Jie Dai , Quan Yuan

{"title":"An approach of localizing MOVES to estimate emission factors of trucks","authors":"Jiashuo Lei , Chao Yang , Qingyan Fu , Yuan Chao , Jie Dai , Quan Yuan","doi":"10.1016/j.ijtst.2023.02.002","DOIUrl":"10.1016/j.ijtst.2023.02.002","url":null,"abstract":"<div><p>Freight has become one of the major contributors to air pollution. This research proposes a method to systematically estimate truck vehicle emissions at the road segment level through localizing MOVES, a widely-used vehicle emission estimation model. We first design a protocol of converting percentage values of rotating speed and torque of engine to second-by-second vehicle speed to accommodate the differences between driving cycles adopted in local emission standards and those used in MOVES. In order to identify the best model year for estimating emissions under different local emission standards, we propose an approach of comparing emission outcomes rather than emission factors, considering the differences in unit used between MOVES and emission standards. To calculate road segment level emission factors, we weight original factors by integrating vehicle fleet information which contains the shares of vehicles under different emission standards and at different ages. We apply the approach to a major freight corridor area in Shanghai and calculate emission factors by air pollutant, average speed of road sections, and road type. Dynamic emissions of each road section per hour are calculated to reflect the spatial distribution of truck emissions. The research outcomes may help local departments, especially in developing countries, better estimate freight vehicle emissions and make policies correspondingly to control their impacts on public health.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"13 ","pages":"Pages 229-242"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000059/pdfft?md5=78c6c5f96a9a8f7665a855270fca774f&pid=1-s2.0-S2046043023000059-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46656231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of flexible pavements through fuzzy inference system with genetic algorithm optimized rule base 采用遗传算法优化模糊推理系统设计柔性路面的规则库

International Journal of Transportation Science and Technology Pub Date : 2024-03-01 DOI: 10.1016/j.ijtst.2023.03.001

M.A. Jayaram , M. Chandana

{"title":"Design of flexible pavements through fuzzy inference system with genetic algorithm optimized rule base","authors":"M.A. Jayaram , M. Chandana","doi":"10.1016/j.ijtst.2023.03.001","DOIUrl":"10.1016/j.ijtst.2023.03.001","url":null,"abstract":"<div><p>In this paper, a novel method for the design of flexible pavements is elaborated. The method is based on fuzzy inference system with genetic algorithm (GA) aided optimized rule base. The model is founded on layered fuzzy antecedent and consequent conjunctive rules. The data for the model consists of 300 flexible pavement design instances that breaks up in to 25% of the data drawn from research and real field applications and 75% of data generated in spread sheets compliant with Indian road congress (IRC) code guidelines. In the first step, the inputs and outputs were fuzzified and around 110 rules were generated using training data set. GA was implemented to find optimal and a compact rule set. GA was able to garner 35 rules that are adequate to predict the thickness of base course, sub base and surface course with high accuracy. The model with optimized rules was validated using test data set. The results of the evaluation are encouraging with low values of RMSE ranging between 3.6–11 for GSB, binder course (BC) and surface course (SC). The coefficient of determination is also high and between 0.85–0.90 indicating accuracy in prediction. Correlation coefficient values stood at an average of 0.92 indicating closeness between predicted and actual values of thickness of courses.</p></div>","PeriodicalId":52282,"journal":{"name":"International Journal of Transportation Science and Technology","volume":"13 ","pages":"Pages 284-301"},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2046043023000230/pdfft?md5=26c20f68ad7f98b780940466061e3ac2&pid=1-s2.0-S2046043023000230-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45660436","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0