Rail transit (RT) has been favored by passengers because it effectively alleviates the problems of dense population, housing shortages, small natural areas, and serious air pollution in urban centers. In this paper, we propose a framework that combines statistical analysis, fuzzy theory, technique for order preference similarity to an ideal solution (TOPSIS) evaluate service quality RT. First, passenger perception is modeled as trapezoidal numbers from which solves uncertainty problem how...

Effective estimation and prediction of freeway congestion propagation is the basis for formulating a traffic management strategy. A new model based on coordinated vehicle positioning data collected from fixed detectors proposed. shockwave-based method established to trajectory in time space using filtered by Savitzy-Golay. Bayesian ridge regression applied determine probability range path congestion. The proposed was tested with Wi-Fi section Beijing-Kunming Freeway China. results our were...

The GPS-based travel survey is an emerging data collection method in transportation planning. survey's application trip mode detection has been explored many studies. Most research on methods based GPS developed and tested with collected from European American countries. cannot be easily adapted to Asian countries such as China, India, Japan, which have much higher population densities, more complex road networks, highly mixed modes during daily commuting. Furthermore, for segment division...

Handheld global positioning system (GPS) devices can serve as a new tool to collect an individual's trip information with advantages of low cost, accurate data, and intensive spatial coverage. Various machine learning algorithms have been explored detected train in previous studies; however, few them focused on the evaluation comparison performance applicability different models. Meanwhile, according studies, car bus mode detection is thorny issue due their similar travel characteristics,...

Large-scale cellphone data provide an emerging source for acquiring urban movements and patterns. Existing researches on based travel behavior detection are mostly concentrated algorithms exploration evaluation. The framework layers of the monitoring platform from collection to application not very clear, existing limited functions, some important characteristics influencing factors have been clearly explored. Therefore, this paper tries propose a real-time mobility traffic management using...

AbstractAs the metropolitan city in Western China, Chengdu has been suffered from serious traffic congestion. The strategy of urban public transport priority was put into agenda to relieve But sharing rate is only 27% which much lower than developed country. Consequently, it great importance study measures improve service, and provide technical support policy-makers. This paper selected corridor between Southwest Jiaotong University district downtown as experiment subject. orthogonal design...

Handoff-based cellular probe technologies have been proven to be a cost-effective solution for traffic surveillance due their low cost, large sample size, and intensive spatial coverage. At the same time, development of reliable simulation tools that can used conduct feasibility study, performance evaluation, estimation model testing technologies, especially in arterial environment, is still limited. In this by simulating real-world signal delaying wireless communication protocols, we...

With the advent of big data era, activity-based model (ABM) has once again become hot topics in traffic planning. Traffic can reflect individual travel patterns, making it possible to establish ABMs. However, current ABMs based on are not mature, especially trip forecasting. Therefore, this paper proposes an advanced ABM using Long Short-Term Memory (LSTM) networks and mobile phone signalling data. The is skeleton scheduling which contains primary activity chaining secondary nesting. Then a...

With the continuous development of urban transportation planning, how to accurately obtain information on individual travel patterns has become core problem research. However, traditional methods residential surveys, such as paper questionnaires, telephone interviews, and mail inquiries, are limited by low data accuracy, organizational difficulties, sample size, which cannot meet needs modern planning. GPS-based survey have gradually focus researchers' attention due their advantages high...

Vehicle travel paths provide basic information for improving traffic forecasting models, tracking epidemics transmission, and road construction. Nevertheless, the challenge of recognition verification still exists, especially in urban dense networks. This paper proposes a vehicle path model combined with mobile phone data. In fitting module, spatio-temporal density-based clustering algorithm Gaussian filter were to smooth position fluctuations data; then non-uniform rational B-splines used...

Numerical solver using a uniform grid is popular due to its simplicity and low computational cost, but would be unfeasible in the presence of tiny structures large-scale media. It necessary use nonuniform grid, where upsampling wavefield from coarse fine essential for reducing artifacts. In this paper, we suggest local refinement scheme Fourier interpolation, which superior traditional interpolation methods since it theoretically exact if input band limited. Traditional fail at high ratios...

The rapid development of urban metropolises has attracted a growing number immigrants and travelers, increasing the burden on transportation systems. Previous research mobility patterns have ignored temporal variations heterogeneity in divergent trip makers due to limited data resolution coverage. In this paper, we analyzed cellular phone more than five million travelers for one month Nanjing, China proposed method extract origin destination information from signal data. We found that are...

Link travel time is an important evaluation index of urban arterial traffic condition. It traditionally estimated from loop detector data and GPS probe vehicle data. The former suffers the coverage maintenance issues. latter has issues related to low penetration rate. Cellphone handoff one alternative that may address those deficiencies with its large areas continuous detection capabilities at cost. Existing cellular based estimation methods are primarily designed for freeway. Limited...

Cellular phone data has been proven to be valuable in the analysis of residents’ travel patterns. Existing studies mostly identify trip ends through rule-based or clustering algorithms. These methods largely depend on subjective experience and users’ communication behaviors. Moreover, limited by privacy policy, accuracy these is difficult assess. In this paper, points interest applied supplement cellular data’s missing information generated Specifically, a random forest model for end...

Abstract Existing studies on activity location recognition based mobile phone data has made great progresses. However, current generally assume constant distance threshold when performing clustering, and ignore the influence of base station layout positioning accuracies data. Given different accuracy requirements, authors propose two methods to recognise locations: (1) An improved hierarchical agglomerative clustering algorithm that integrates a genetic component search dynamically adjust...

Trip end identification based on mobile phone data has been widely investigated in recent years. However, the existing studies generally use fixed clustering radii (CR) trip algorithms, but ignore influence of base station (BS) densities positioning accuracy data. This paper proposes a new two-step method for identifying ends: (1) Genetic Algorithm (GA) is utilized to optimize CRs DBSCAN under different BS densities. (2) We propose an improved Fast-DBSCAN (F-DBSCAN) two objectives. One...

Precise travel route identification is the guiding basis of feasible urban traffic planning and modeling. A range map matching (MM) algorithms have been studied in previous research to integrate coordinate-based GPS data with digital road network information identify personal route. However, these methods significantly depend on high-density positioning data, which are usually unavailable or costly for transportation projects. Fortunately, mobile phones under 3 G, 4 G 5 networks can generate...

The relationship between intelligent parking management and regional traffic congestion in the context of urban parcel renewal has attracted academic attention. Reasonable behavior analysis can effectively contribute to demand alleviate contradiction supply demand. To this end, paper constructs a multinomial logit model based on Python that considers multiple factors affecting parking. First, accommodate multi-day behavioral variability unobserved heterogeneity individual characteristics...