Relevant bibliographies by topics / Route based

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Route based'

Author: Grafiati
Published: 25 May 2024

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Journal articles on the topic "Route based"

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Zhanabaev, Z. Zh. "CLUSTER ROUTER BASED ON ECCENTRICITY." Eurasian Physical Technical Journal 19, no. 3 (41) (September 22, 2022): 84–90. http://dx.doi.org/10.31489/2022no3/84-90.

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In this paper, a cluster router based on eccentricity was worked out, related to the field of telecommunications, especially, to the field of message transmission. Messages in this router are transmitted as packets along the route specified in it between devices connected to the network. Each node in this network is assigned a unique address, thanks towhich routing can be accelerated. Each router forms a routing map, thanks to the calculated eccentricity of nodes, with which the physical route of the packet is selected at the logical address of the cluster. In addition, the routing map is stored in the register and non-volatile memory of the device to prevent information loss. To analyze this cluster device, a fractal analysis of the UV-flower model network was carried out and the information dimensions of Tsallis and Renyi were calculated.
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Jing, Weiwei, Xiangdong Xu, and Yichao Pu. "Route Redundancy-Based Network Topology Measure of Metro Networks." Journal of Advanced Transportation 2019 (July 3, 2019): 1–12. http://dx.doi.org/10.1155/2019/4576961.

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The metro system plays a very important role in the urban multimodal transportation system, yet it is susceptible to accidents. A well-designed metro system needs to provide alternative routes to travellers both in the disruptive events and the normal operating conditions for providing rerouting opportunities and balancing crowded lines. This paper provides a new dimension of assessing metro network performance—travellers’ route redundancy (or route diversity), which is defined as the number of behaviourally effective routes between each origin-destination (O-D) pair in the network. The route redundancy of metro network is evaluated by statistical indicators of the distribution of the O-D-level number of effective routes. Compared with the existing connectivity and accessibility measures of topology network performance, route redundancy is also based on the topology network, but it takes the travellers’ route choice into consideration. Specifically, the effective routes between each O-D pair would provide disaggregated information from the travellers’ perspective. Case studies in four metropolises in the world, i.e., Shanghai, Beijing, London, and Tokyo, are conducted to examine the predisaster preparedness of the four metro networks explicitly from the perspective of route redundancy. The results indicate that the London metro network has the best route redundancy performance in terms of the statistical indicators of the distribution of the O-D level number of effective routes. Furthermore, the results of route redundancy are compared with typical measures of topology network performance in terms of measuring connectivity and accessibility of metro networks. Their differences are attributed to the fact that the route redundancy measure considers the travellers’ O-D-level route choice beyond the pure network topology and the shortest path considerations of the existing measures. The route redundancy proposed in this paper could assist in evaluating the predisaster preparedness of current or planning metro networks from O-D level to network level.
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Han, Yan, Hongzhi Guan, and Jiaying Duan. "Tour Route Multiobjective Optimization Design Based on the Tourist Satisfaction." Discrete Dynamics in Nature and Society 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/603494.

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The question prompted is how to design the tour route to make the tourists get the maximum satisfactions considering the tourists’ demand. The influence factors of the tour route choices of tourists were analyzed and tourists’ behavior characteristics and psychological preferences were regarded as the important influence factors based on the tourist behavioral theories. A questionnaire of tourists’ tour route information and satisfaction degree was carried out. Some information about the scene spot and tourists demand and tour behaviors characteristic such as visit frequency, number of attractions visited was obtained and analyzed. Based on the convey datum, tour routes multiobjective optimization functions were prompted for the tour route design regarding the maximum satisfaction and the minimum tour distance as the optimal objective. The available routes are listed and categorized. Based on the particle swarm optimization model, the priorities of the tour route are calculated and finally the suggestion depth tour route and quick route tour routes are given considering the different tour demands of tourists. The results can offer constructive suggestions on how to design tour routes on the part of tourism enterprises and how to choose a proper tour route on the part of tourists.
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Wang, Ren, Mengchu Zhou, Kaizhou Gao, Ahmed Alabdulwahab, and Muhyaddin J. Rawa. "Personalized Route Planning System Based on Driver Preference." Sensors 22, no. 1 (December 21, 2021): 11. http://dx.doi.org/10.3390/s22010011.

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At present, most popular route navigation systems only use a few sensed or measured attributes to recommend a route. Yet the optimal route considered by drivers needs be based on multiple objectives and multiple attributes. As a result, these existing systems based on a single or few attributes may fail to meet such drivers’ needs. This work proposes a driver preference-based route planning (DPRP) model. It can recommend an optimal route by considering driver preference. We collect drivers’ preferences, and then provide a set of routes for their choice when they need. Next, we present an integrated algorithm to solve DPRP, which speeds up the search process for recommending the best routes. Its computation cost can be reduced by simplifying a road network and removing invalid sub-routes. Experimental results demonstrate its effectiveness.
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Hu, Wen-Chen, Naima Kaabouch, Hung-Jen Yang, and S. Hossein Mousavinezhad. "Route Anomaly Detection Using a Linear Route Representation." Journal of Computer Networks and Communications 2012 (2012): 1–12. http://dx.doi.org/10.1155/2012/675605.

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A location-based service is a service based on the geographical position of a mobile handheld device like a smartphone. This research proposes location-based research, which uses location information to find route anomalies, a common problem of daily life. For example, an alert should be generated when a deliveryman does not follow his regular route to make deliveries. Different kinds of route anomalies are discussed and various methods for detecting the anomalies are proposed in this paper. The proposed method based on a linear route representation finds the matched routes from a set of stored routes as the current route is entered location by location. Route matching is made easy by comparing the current location to linear routes. An alert is generated when no matched routes exist. Preliminary experimental results show the proposed methods are effective and easy to use.
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Khusnandar, Wahyudi, Fransiscus Ati Halim, and Felix Lokananta. "Design of TTL Based Routing Algorithm on UTAR Network on Chip Communication Architecture." International Journal of New Media Technology 5, no. 1 (July 5, 2018): 54–57. http://dx.doi.org/10.31937/ijnmt.v5i1.738.

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XY adaptive routing protocol is a routing protocol used on UTAR NoC communication architecture. This routing algorithm adapts shrotest-path first algorithm, which will forward will not be able to work optimally if the closest route no longer have enough bandwidth to continue the packet. Packet will be stored inside the router and forwarded to the nearest router when closest route has enough bandwidth. This paper suggest TTL based routing algorithm to resolve this issue. TTL based routing algorithm adapts XY adaptive routing protocol by adding several parameters on RTL UTAR NoC and additional bit in each packet sent by router. This additional bit and parameter will be used by TTL based algorithm as additional factors in choosing alternative routes inside the communication architecture. Use of TTL on TTL based routing different from use of TTL on communication network. Packets that carry TTL value that equal to Maximum TTL will be route using XY adaptive routing protocol. TTL based routing algorithm has shown better performance compared to XY adaptive routing on some of the experiment done using MSCL NoC Traffic Pattern Suite. This research also proves that TTL based routing algorithm cannot work optimally on small-scaled architecture.
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Hendrawan, Hendra. "Change route preferences based on temporary migration route condition information." MEDIA KOMUNIKASI TEKNIK SIPIL 26, no. 1 (July 30, 2020): 17–25. http://dx.doi.org/10.14710/mkts.v26i1.25987.

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Mudik is an annual community activity in Indonesia that is carried out simultaneously and in a short time. The government has made various physical or non-physical efforts to reduce the negative impacts arising from Mudik activity. One effort is by providing information related to the condition of Mudik routes. Study of preferences of travelers for changing Mudik routes after obtaining information is needed to anticipate these differences in decisions. The method used in the study is quantitative and qualitative descriptive analysis and uses non-parametric statistical analysis with McNemar and ChiSquare K free samples test to determine whether there are differences in decisions after providing information and differences in preferences for route changes based on factors. The study results show that the factors that cause the same route decisions for travelers who regularly Mudik with private vehicles are the fastest route, and there is no other route choice. The analysis shows that for both factors there is a preference of travelers to change the route by 68.5%, uncertainty by 15%, and not change the route by 16.5%. This study also shows there are differences in decisions after providing information, and there are no differences in route change preferences based on factors.
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Xin, Lai, Zhao De Cun, Huang Long Yang, and Wu D. Ti. "Hybrid Air Route Network Simulation Based on Improved RW-Bucket Algorithm." International Journal of Information Technologies and Systems Approach 15, no. 1 (January 1, 2022): 1–19. http://dx.doi.org/10.4018/ijitsa.304808.

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The fixed-route network is the basis for airlines to carry out flight direction planning. Some countries and regions have introduced temporary routes as a supplement to the fixed route structure. Temporary routes have the advantages of intercepting curves and straightening, and less detouring areas, which can save airlines fuel consumption and improve operational efficiency. This article takes the mixed airline's route network as the research object. Firstly, the structural properties of mixed air route networks are analyzed by using complex network theory. Secondly, the RW-bucket algorithm to generate a mixed air route network structure is analyzed. According to the conclusion of the analysis, the RW-bucket algorithm is improved. Finally two flight information region route network data are used to verify the proposed hybrid route network construction method by computer simulation.
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Bin, Chenzhong, Tianlong Gu, Yanpeng Sun, Liang Chang, and Lei Sun. "A Travel Route Recommendation System Based on Smart Phones and IoT Environment." Wireless Communications and Mobile Computing 2019 (July 14, 2019): 1–16. http://dx.doi.org/10.1155/2019/7038259.

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Tourism recommendation systems play a vital role in providing useful travel information to tourists. However, existing systems rarely aim at recommending tangible itineraries for tourists within a specific POI due to their lack of onsite travel behavioral data and related route mining algorithms. To this end, a novel travel route recommendation system is proposed, which collects tourist onsite travel behavior data automatically regarding a specific POI based on smart phone and IoT technology. Then, the proposed system preprocesses the behavior data to transform raw behavior sequences into Tourist-Behavior pattern sequences. Subsequently, the system discovers frequent travel routes from the generated pattern sequences by using an original route mining algorithm, named Tourist-Behavior PrefixSpan. Finally, a route-recommending method is designed to search and rank tangible travel routes according to the querying tourist’s profile and constraint. The experimental results demonstrate that the proposed system is efficient and effective in recommending POI-oriented tangible travel routes considering tourists’ route constraints and personal profile while ensuring that the suggested routes have considerable route values.
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Rajkumar, Mylsamy, and Sankaranarayanan Subramanian. "Cluster Based Geographical Routing (CBGR) for MANETs." Applied Mechanics and Materials 550 (May 2014): 210–19. http://dx.doi.org/10.4028/www.scientific.net/amm.550.210.

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-Routing has been the main challenge for ad hoc networks due to dynamic topology as well as resource constraints. High computational overhead and high mobility of the nodes typically require completely GPS enabled MANETs for higher performance. Due to the high mobility of nodes, the network topology of MANETs always changes. This makes it more difficult to find the routes that message packets use when they are routed. In this paper, we propose an Cluster based location routing (CBGR) scheme to improve the route discovery in MANET routing. In this scheme, we first decide a baseline, which is the line between the source cluster head and the destination node, for route discovery. The request packet is broadcasted in a request zone based on the baseline to determine the next gateway node. From the neighboring gateway nodes, with the shortest distance to the baseline is chosen as the next gateway node. The flooding of the packets to the intermediate gateway nodes are reduced since the route discovery packets are only forwarded to certain gateway nodes, which, fall into a determined region. Simulations are performed using NS2. The results illustrate that GBLR performs better compared to other protocols.
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Dissertations / Theses on the topic "Route based"

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Dahl, Valerie, and Mikael Davidsson. "Route flow estimation based on time-dependent route choice sets and historical travel times." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-130007.

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Since congestion leads to variations in travel time which gives a variation in the traffic flow, it is interesting to estimate the traffic flow in larger cities where cars drive in a limited space. In order to estimate the traffic flow, different traffic models are usually used. These models often use volume-delay functions which calculate the travel times for each link depending on the current traffic flow. However, in these models, the process for reaching equilibrium can be time consuming and it is hard to calibrate the volume-delay functions for a road network with a large set of links. Instead, we assume that it is relatively simply to measure or collect historical time-dependent travel times on a large set of links. With this assumption, a method that uses time-dependent route choice sets and time-dependent travel times in order to estimate time-dependent route flows, is developed. In this thesis, the method was applied to Stockholm County where it is interesting to study the route choice since congestion occurs in the area which generate variations in travel time. In order to estimate time-dependent route flows, a time-sliced OD-matrix was created by dividing the matrix for the peak hour using two different time-slicing distributions. The time-dependent route choice set with time-dependent travel times was created by using an existing route planning tool. These routes were mapped to the links in a road network in order to estimate link flows. The mapping was done by using map matching and a shortest path algorithm. Route shares were decided by using a method that splits the demand equally among the routes in the route choice set for an OD-pair, and with a logit model that takes travel time into account with the assumption that the travel time can affect a traveler’s route choice. The evaluation of the resulting link flows was done by comparing these link flows with observed link flows using different time-slicing distributions and route share models. Furthermore, the method’s resulting link flows was evaluated against the resulting link flows from a scenario where all travelers are assumed to choose the shortest path, in terms of free flow travel time, between each OD-pair. The developed method can estimate link flows so that 27.9 % of the links have a GEH value less than 5, which can be compared to the commonly used acceptance criteria of 85 %. This shows that the method needs to be developed further in order to achieve link flow estimations that fulfills the acceptance criteria. Even though the overall result show that the developed method does not fulfill the acceptance criteria, the method works well on some individual links. Furthermore, the resulting link flows from the developed method match the observed link flows better than the resulting link flows from the scenario where all travelers are assumed to choose the shortest path.
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Hamad, Sofian. "Efficient route discovery for reactive routing." Thesis, Brunel University, 2013. http://bura.brunel.ac.uk/handle/2438/7634.

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Information on the location of mobile nodes in Mobile Ad-hoc Networks (MANETs) has the potential to significantly improve network performance. This thesis uses node location information to develop new techniques for route discovery in on-demand routing protocols such as the Ad-hoc On-Demand Distance Vector (AODV), thus making an important contribution to enhancing the experience of using mobile networks. A Candidate Neighbours to Rebroadcast the Route Request (CNRR) approach has been proposed to reduce the deleterious impact, known as the broadcast storm, of RREQ packets flooding in traditional on-demand routing protocols. The main concept behind CNRR is specifying a set of neighbours which will rebroadcast the received RREQ. This is a departure from the traditional approach of all receiving nodes rebroadcasting RREQs and has the effect of reducing the problem of redundancy from which mobile networks suffer. The proposed protocol has been developed in two phases: Closest-CNRR and Furthest-CNRR. The simulation results show that the proposed algorithms have a significant effect as they reduce the routing overhead of the AODV protocol by up to 28% compared to the C-CNRR, and by up to 17.5% compared to the F-CNRR. Notably, the proposed algorithms simultaneously achieve better throughput and less data dropping. The Link Stability and Energy Aware protocol (LSEA) has been developed to reduce the overhead while increasing network lifetimes. The LSEA helps to control the global dissemination of RREQs in the network by eliminating those nodes that have a residual energy level below a specific threshold value from participation in end-to-end routes. The proposed LSEA protocol significantly increases network lifetimes by up to 19% compared with other on-demand routing protocols while still managing to obtain the same packet delivery ratio and network throughput levels. Furthermore, merging the LSEA and CNRR concepts has the great advantage of reducing the dissemination of RREQs in the network without loss of reachability among the nodes. This increases network lifetimes, reduces the overhead and increases the amount of data sent and received. Accordingly, a Position-based Selective Neighbour (PSN) approach has been proposed which combines the advantages of zoning and link stability. The results show that the proposed technique has notable advantages over both the AODV and MAAODV as it improves delivery ratios by 24.6% and 18.8%, respectively.
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Nåfält, Gustav, and Mattias Tunholm. "Road Network Analysis based on Route Set Generation." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-168101.

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This thesis proposes an analysing tool that makes use of route set generation to perform road network analysis that can be used in both transport planning and traffic management analysis. The input to the tool is a routable road network and a geographical zoning system and the route set generation is performed on all Origin-Destination (OD) -pairs of the zoning system. The tool was implemented using a simplification of Stockholms road network and a zoning system defined by the Swedish Transport Administration. The result shows that a route set generation-based tool can provide support in both transport planning and traffic management, and that the procedure provides results within a reasonable amount of time. The tool provides both a general analysis of the road network, and a link capacity reduction analysis. In the latter, the proportion of affected destinations and mean travel time deterioration for each OD-zone work as metrics of how the zones are affected by the capacity reduction. Transport planners can use the tool to present the betweenness centrality, the proportion of affected destinations and the mean travel time deterioration, all of which are metrics that can be used to evaluate the potential need for new infrastructure. Traffic managers can use the proportion of affected destinations and the mean travel time deterioration as metrics that can be used to identify zones that are affected by a road capacity reduction. The betweenness centrality of the best alternative route can be used to support traffic diversion for a specific zone.
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Edwards, S. J., C. Emmerson, A. Namdeo, P. T. Blythe, and W. Guo. "Optimising landmark-based route guidance for older drivers." Elsevier, 2016. https://publish.fid-move.qucosa.de/id/qucosa%3A72821.

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In-vehicle navigation systems (IVNS) have the potential to benefit older drivers, reducing stress associated with way-finding and providing on-trip support, especially in unfamiliar locations. However, existing IVNS present challenges to usability, resulting in lack of uptake and over-reliance on pre-trip planning. This paper presents research aimed at identifying features that make IVNS user-friendly and appropriate for older drivers. Studying navigational performance within a simulated driving environment, it focuses on the use of landmarks with route guidance information, and the most appropriate method of information provision (audio only, visual only or a combination of audio and visual). It also assesses potential gender differences that might arise with landmark-based navigational information. Solutions include use of appropriate roadside landmarks, and information delivered through a combination of audio and icon-based visual format. These features result in lower workload and fewer navigational errors. The audio/visual modality reduces the hazard of distraction by landmarks resulting in fewer visual glances and lower glance duration to the roadside compared to other modalities. Design and provision of IVNS tailored to older drivers’ needs can make a considerable contribution to maintaining individual mobility for longer.
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Deaver, Guinevere J. "The Effects of Frequency on Dual-Route Versus Single-Route Processing of Morphologically Complex Terms: A Usage-Based Experiment." BYU ScholarsArchive, 2013. https://scholarsarchive.byu.edu/etd/4282.

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With the availability of frequency dictionaries, such as Alameda and Cuetos (1995) or the Corpus del Español (2002), it is now possible to explore the effects of frequency on linguistic items. The following is a study exploring the effects of frequency on Spanish affixed words. While the debate of dual-route versus single-route processing continues, the results of this study suggest that L2 Spanish speakers use a dual-route model and decompose morphologically complex words when the base frequency is higher than the surface frequency. L2 Spanish speakers perceive derived words with a higher base frequency as more complex than derived words with a lower base frequency. The results of this study do not suggest the same process occurs for native Spanish speakers. When asked to identify the more complex word of a pair, native Spanish speakers are just as likely to select the derived word with a lower base frequency as they are to select the derived word with a higher base frequency suggesting a single-route model.
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Cappetto, Peter Michael. "History-based route selection for reactive ad hoc routing protocols." Online access for everyone, 2007. http://www.dissertations.wsu.edu/Thesis/Spring2007/p_cappetto_042207.pdf.

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Mukai, Naoto, and Toyohide Watanabe. "Proactive Route Planning Based on Expected Rewards for Transport Systems." IEEE, 2005. http://hdl.handle.net/2237/6918.

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Hammond, David Stuart. "The validation and improvement of route-based road weather forecasts." Thesis, University of Birmingham, 2011. http://etheses.bham.ac.uk//id/eprint/1299/.

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This thesis aims to develop the foundations for a new validation strategy for route-based road weather forecasts that will enable validation of route-based models at a vastly improved spatial and temporal resolution, and in doing so provide a tool for rapid appraisal of new model parameterisations. A validation strategy that uses clustering techniques to create clusters of forecast points with similar geographical and infrastructure characteristics is presented, as well as two methodologies for de-parameterising key geographical and infrastructure parameters in the ENTICE route-based model that are currently not measured at the spatial scale demanded by a route-based forecast. The proposed validation strategy facilitates the analysis of forecast statistics at the cluster level, which is shown to provide a more representative measure of the model’s spatial forecasting ability. The majority of thermal variations around the study route are well represented by the clustering solutions, presenting the opportunity for new sampling strategies with the potential to validate forecasts at a vastly improved spatial and temporal resolution. De-parameterisation of the road construction and surface roughness parameters within the ENTICE model using Ground Penetrating Radar and airborne LIDAR data has been shown to significantly improve the spatial forecasting ability of ENTICE, with the model changes leading to refinement of the clustering solution which enables it to better capture the physical relationship between road surface temperature and the geographical and infrastructure parameters around the study route. Suggestions for future research are provided along with a blueprint for the future of route-based road weather forecasts.
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Johan, Eliasson. "Detecting Crime Series Based on Route Estimation and Behavioral Similarity." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-12833.

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Berntsson, Simon, and Mattias Andreasson. "Efficient Route-based Optimal Energy Management for Hybrid Electric Vehicles." Thesis, Linköpings universitet, Fordonssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148565.

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The requirements on fuel consumption and emissions for passenger cars are getting stricter every year. This has forced the vehicle industry to look for ways to improve the performance of the driveline. With the increasing focus on electrification, a common method is to combine an electrical driveline with a conventional driveline that uses a petrol or diesel engine, thus creating a hybrid electric vehicle. To fully be able to utilise the potential of the driveline in such a vehicle, an efficient energy management strategy is needed. This thesis describes the development of an efficient route-based energy management strategy. Three different optimisation strategies are combined, deterministic dynamic programming, equivalent consumption minimisation strategy and convex optimisation, together with segmentation of the input data. The developed strategy shows a decrease in computational time with up to more than one hundred times compared to a benchmark algorithm. When implemented in Volvo's simulation tool, VSim, substantial fuel savings of up to ten percent is shown compared to a charge-depleting charge-sustain strategy.
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Books on the topic "Route based"

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Salih, Hizni. Web based route finder with multimodal interface. Oxford: Oxford Brookes University, 2003.

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1949-, Evans Karen, and Institute of Personnel and Development., eds. Working to learn: A work-based route to learning for young people. London: Institute of Personnel and Development, 1997.

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J, Moran Francis, and Ames Research Center, eds. A workstation-based evaluation of a far-field route planner for helicopters. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1992.

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J, Moran Francis, and Ames Research Center, eds. A workstation-based evaluation of a far-field route planner for helicopters. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1992.

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Tsutsumi, Takuro. Ab Initio Molecular Dynamics Analysis Based on Reduced-Dimensionality Reaction Route Map. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-7321-7.

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J, Moran Francis, and Ames Research Center, eds. A workstation-based evaluation of a far-field route planner for helicopters. Moffett Field, Calif: National Aeronautics and Space Administration, Ames Research Center, 1992.

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Hutchinson, Barry. Thematic route: Improving vocational education and training in the development of personal and occupational competences. Jordanstown: University of Ulster, 1995.

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Hutchinson, Barry. Thematic route: Improving vocational education and training in the development of personal and occupational competences. Jordanstown: University of Ulster, 1995.

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Kumar, Anurag. Choosing an in-route access method for the HNS-ISBN based ERNET satellite wide area network. Bangalore: Dept. of Electrical Communication Engineering, Indian Institute of Science, 1995.

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Bashkatov, Aleksandr. Simulation of accidents on route transport. ru: INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1860140.

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The monograph is devoted to the study of accidents in the operation of fixed-route vehicles and the development of organizational measures that increase the safety of its functioning within the city. Based on the collected and systematized statistical data, an integrated approach to solving transport security problems has been applied. Within the framework of the study, mathematical models and methods for assessing factors affecting the accident rate of route vehicles are proposed, a statistical assessment of their significance is carried out and technological techniques for improving safety on highways are proposed. It is intended for specialists of management services, dispatchers of transport companies, and may also be of interest to engineering, technical and scientific workers involved in the safety and organization of route transport in cities.
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Book chapters on the topic "Route based"

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Li, Suny. "Route and Plane." In MicroSystem Based on SiP Technology, 421–56. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-0083-9_14.

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Hliněný, Petr, and Ondrej Moriš. "Scope-Based Route Planning." In Algorithms – ESA 2011, 445–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23719-5_38.

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Taghavipour, Amir, Mahyar Vajedi, and Nasser L. Azad. "Route-Based Supervisory Controls." In Intelligent Control of Connected Plug-in Hybrid Electric Vehicles, 145–67. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00314-2_8.

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Haigh, Karen Zita, and Manuela Veloso. "Route planning by analogy." In Case-Based Reasoning Research and Development, 169–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/3-540-60598-3_16.

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Czerniawska, Fiona. "Automating Delivery: The Route to Business Transformation." In Value-Based Consulting, 196–205. London: Palgrave Macmillan UK, 2002. http://dx.doi.org/10.1057/9780230501980_17.

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Bein, Doina, Ajoy K. Datta, and Shashirekha Yellenki. "Cluster-Based Route Discovery Protocol." In Advances in Intelligent and Distributed Computing, 53–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-74930-1_6.

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Wenning, Bernd-Ludwig. "Analytical Examination of Route Discovery Traffic." In Context-Based Routing in Dynamic Networks, 57–76. Wiesbaden: Vieweg+Teubner, 2010. http://dx.doi.org/10.1007/978-3-8348-9709-1_5.

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Srinivas, Samvith, and Stephen C. Hirtle. "Knowledge Based Schematization of Route Directions." In Spatial Cognition V Reasoning, Action, Interaction, 346–64. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-75666-8_20.

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Pressl, Bettina, Christoph Mader, and Manfred Wieser. "User-Specific Web-Based Route Planning." In Lecture Notes in Computer Science, 280–87. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14097-6_45.

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Knoop, Victor L., Hans van Lint, and Serge P. Hoogendoorn. "Route Advice Based on Subnetwork Properties." In Traffic and Granular Flow '11, 379–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39669-4_36.

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Conference papers on the topic "Route based"

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Bhowmik, Subrata. "Machine Learning-Based Optimization for Subsea Pipeline Route Design." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31031-ms.

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Abstract Optimal route selection for the subsea pipeline is a critical task for the pipeline design process, and the route selected can significantly affect the overall project cost. Therefore, it is necessary to design the routes to be economical and safe. On-bottom stability (OBS) and fixed obstacles like existing crossings and free spans are the main factors that affect the route selection. This article proposes a novel hybrid optimization method based on a typical Machine Learning algorithm for designing an optimal pipeline route. The proposed optimal route design is compared with one of the popular multi-objective optimization method named Genetic Algorithm (GA). The proposed pipeline route selection method uses a Reinforcement Learning (RL) algorithm, a particular type of machine learning method to train a pipeline system that would optimize the route selection of subsea pipelines. The route optimization tool evaluates each possible route by incorporating Onbottom stability criteria based on DNVGL-ST-109 standard and other constraints such as the minimum pipeline route length, static obstacles, pipeline crossings, and free-span section length. The cost function in the optimization method simultaneously handles the minimization of length and cost of mitigating procedures. Genetic Algorithm, a well established optimization method, has been used as a reference to compare the optimal route with the result from the proposed Reinforcement Learning based optimization method. Three different case studies are performed for finding the optimal route selection using the Reinforcement Learning (RL) approach considering the OBS criteria into its cost function and compared with the Genetic Algorithm (GA). The RL method saves upto 20% pipeline length for a complex problem with 15 crossings and 31 free spans. The RL optimization method provides the optimal routes, considering different aspects of the design and the costs associated with the various factors to stabilize a pipeline (mattress, trenching, burying, concrete coating, or even employing a more massive pipe with additional steel wall thickness). OBS criteria significantly influence the best route, indicating that the tool can reduce the pipeline's design time and minimize installation and operational costs of the pipeline. Conventionally the pipeline route optimization is performed by a manual process where the minimum roule length and static obstacles are considered to find an optimum route. The engineering is then performed to fulfill the criteria of this route, and this approach may not lead to an optimized engineering cost. The proposed Reinforced Learning method for route optimization is a mixed type, faster, and cost-efficient approach. It significantly minimizes the pipeline's installation and operational costs up to 20% of the conventional route selection process.
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Wang, Tianyu, and Shingo Yamaguchi. "A Travel Route Recommendation System Based on Route Clustering Algorithm Considering Spatial Similarity of Routes." In 2023 11th International Conference on Information and Education Technology (ICIET). IEEE, 2023. http://dx.doi.org/10.1109/iciet56899.2023.10111109.

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Andrić Gušavac, Bisera, Gordana Savić, and Milan Martić. "A ROUTE EFFICIENCY ANALYSIS BASED ON DATA ENVELOPMENT ANALYSIS: AN APPLICATION TO AGRICULTURE." In Economic and Business Trends Shaping the Future. Ss Cyril and Methodius University, Faculty of Economics-Skopje, 2020. http://dx.doi.org/10.47063/ebtsf.2020.0032.

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This study employs data envelopment analysis (DEA) approach to evaluate the performance of agricultural aircraft routes. In the context of agricultural aircraft usage, not enough attention has been paid to the efficiency study of the routes in agricultural operations. Aircraft are used in agriculture to perform various treatments on agricultural land. Presumptions in this study are that a land is divided into parcels and one type of treatment must be performed on these parcels. Also, the considered operation is performed by the agricultural aircraft and the size of the analyzed land implies that all parcels cannot be treated in one route, so there are multiple routes which have to be completed. Here, we propose application of output oriented CCR DEA model on one set of routes in order to determine relatively efficient routes. Proposed inputs for the application of the DEA method are: tank capacity of an aircraft and total cost of parcel treatment in one route. Proposed outputs are: total treated land area (total area of all parcels in route) in one route and percentage share of effective flight in the total distance traveled in one route. In this way relatively efficient routes can be selected, and some further analysis of relatively inefficient routes can be made in order to see what changes can be done in inputs and / or outputs of these inefficient routes to improve their performance.
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Zvyagin, Petr, and Anna Voitkunskaia. "Model of Transit Transport in Arctic Based on Graph Algorithms." In ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54439.

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Transportation in Arctic seas is connected with variability of routes. Availability of those routes is depending on current environmental conditions. In the paper the algorithm for navigation system, which is intended to advice captain the most economically effective and less risky route with the presence of ice chart, is proposed. Smart navigation system for Arctic seas has specific: shortest ways can occur to be impassable or too risky. More long routes through free waters can finally take less fuel comparing to shorter, but covered with ice. Thus, economical profitability of operating in Arctic seas depends on effectiveness of route choosing. To make estimations about most effective route and its length, the method based on graph algorithms is presented in this paper. The ice chart is covered by the graph, which can have form of grid, with neighbor nodes connected by edges. In general, multiple parameters can be assigned to each edge — length, maximal ice thickness on the way, risk, etc. In this paper two separate cost functions are considered: first is responsible for travel expenses, and the second is responsible for ice passability on the route. To find most economically efficient route with minimal possible ice thickness on the way the method with graph modification and Dijkstra algorithm was used. This route provides Pareto-optimal solution for reduced version of the problem. The software, which implements the method, was built. The example of searching for least expensive and Pareto-optimal route is provided. Results are discussed.
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Slave, Camelia, and Carmen Mihaela Man. "The Famous Dealu Mare – Wine Route." In 8th International Scientific Conference ERAZ - Knowledge Based Sustainable Development. Association of Economists and Managers of the Balkans, Belgrade, Serbia, 2022. http://dx.doi.org/10.31410/eraz.2022.263.

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Wine tourism in the local vineyards is a new notion today. This tourism is starting to become an alternative to the late autumn holidays – you visit wineries, cellars, churches, everything is concentrated on a distance of only 60 kilometers. In the middle of the road between Bucharest and Brasov, on the border be­tween Prahova and Buzau counties lies the homeland of red wine – “Dealu Mare”/ “Big Hill” vineyards. It has thousands of hectares of vineyards, eight famous wineries, and mansions that belonged to the old boyar families, some renovated and recently entered the tourist circuit, others in ruins, but just as spectacular. There are also 17th-century monasteries and themed mu­seums that recreate the atmosphere of the houses in the area.
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Ahuja, Nitisha, Jay D. Martin, Michael A. Yukish, Gary M. Stump, Lorri A. Bennett, Bryan W. Schlake, Joel R. Anstrom, and Christopher D. Rahn. "Route Based Fuel Savings of Freight Train Hybridization." In ASME 2023 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2023. http://dx.doi.org/10.1115/detc2023-114683.

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Abstract Adding battery locomotives to traditional diesel locomotives to form a hybrid consist has the potential to reduce fuel consumption and emissions in freight rail operations. This paper provides round trip, route-based estimates of diesel (hpd/ton) and battery (hpb/ton) power requirements and diesel (gal/ton) and battery (hpbhr/ton) energy requirements for hybrid consist. Given the route-specific power profile, the power split between the battery pack and the diesel engine is optimized to minimize fuel consumption by running the diesel engine at maximum efficiency during the entire trip. The results from 100-mile out/back routes between Chicago and Harrisburg indicate that the required diesel power for hybrid consist is maximum in low-gradient regions at 1.17 (hpd/ton) and the required battery power is maximum in hilly regions at 2.04 (hpb/ton) for discharge and 9.43 (hpb/ton) for charge. Maximum fuel efficiency gains of approximately 60% are seen in hilly routes, where 2.09 (hpbhr/ton) of battery energy is needed. Minimum fuel economy gains are observed in flat regions, with a 20% fuel consumption reduction. This ideal case analysis of hybrid consist can serve as an easy-to-use tool for the US freight rail sector to estimate fuel savings and sort routes based on the potential results for electrification, without requiring substantial computation.
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Ichimura, Shoichi, and Qiangfu Zhao. "Route-Based Ship Classification." In 2019 IEEE 10th International Conference on Awareness Science and Technology (iCAST). IEEE, 2019. http://dx.doi.org/10.1109/icawst.2019.8923540.

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Chen, Ruichuan, Aman Shaikh, Jia Wang, and Paul Francis. "Address-based route reflection." In the Seventh COnference on emerging Networking EXperiments and Technologies. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/2079296.2079301.

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Wasi, S. Raza, and J. Darren Bender. "Spatially Enabled Pipeline Route Optimization Model." In 2004 International Pipeline Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/ipc2004-0362.

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An interesting, potentially useful, and fully replicable application of a spatially enabled decision model is presented for pipeline route optimization. This paper models the pipeline route optimization problem as a function of engineering and environmental design criteria. The engineering requirements mostly deal with capital, operational and maintenance costs, whereas environmental considerations ensure preservation of nature, natural resources and social integration. Typically, pipelines are routed in straight lines, to the extent possible, to minimize the capital construction costs. In contrast, longer pipelines and relatively higher costs may occur when environmental and social considerations are part of the design criteria. Similarly, much longer pipelines are less attractive in terms of capital costs and the environmental hazard associated with longer construction area. The pipeline route optimization problem is potentially a complex decision that is most often undertaken in an unstructured, qualitative fashion based on human experience and judgement. However, quantitative methods such as spatial analytical techniques, particularly the least-cost path algorithms, have greatly facilitated automation of the pipeline routing process. In the past several interesting studies have been conducted using quantitative spatial analytical tools for finding the best pipeline route or using non-spatial decision making tools to evaluate several alternates derived through conventional route reconnaissance methods. Most of these studies (that the authors are familiar with) have concentrated on integrating multiple sources of spatial data and performing quantitative least-cost path analysis or have attempted to make use of non-spatial decision making tools to select the best route. In this paper, the authors present a new framework that incorporates quantitative spatial analytical tools with an Analytical Hierarchical Process (AHP) model to provide a loosely integrated but efficient spatial Decision Support System (DSS). Specifically, the goal is to introduce a fully replicable spatial DSS that processes both quantitative and qualitative information, balances between lowest-cost and lowest-impact routes. The model presented in this paper is implemented in a four step process: first, integration of multiple source data that provide basis for engineering and environmental design criteria; second, creation of several alternate routes; third, building a comprehensive decision matrix using spatial analysis techniques; and fourth, testing the alternative and opinions of the stakeholder groups on imperatives of AHP model to simplify the route optimization decision. The final output of the model is then used to carry out sensitivity analysis, quantify the risk, generate “several what and if scenarios” and test stability of the route optimization decision.
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Hamada, Keisuke, Shinsuke Nakajima, Daisuke Kitayama, and Kazutoshi Sumiya. "Experimental evaluation of method for driving route recommendation and learning drivers' route selection preferences." In iiWAS '16: 18th International Conference on Information Integration and Web-based Applications and Services. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3011141.3011150.

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Reports on the topic "Route based"

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Chen, E., and S. Sangli. Address-Prefix-Based Outbound Route Filter for BGP-4. RFC Editor, August 2008. http://dx.doi.org/10.17487/rfc5292.

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Bush, R., K. Patel, P. Smith, and M. Tinka. Policy Based on the Resource Public Key Infrastructure (RPKI) without Route Refresh. RFC Editor, December 2022. http://dx.doi.org/10.17487/rfc9324.

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Iyer, Ananth V., Konstantina Gkritza, Steven R. Dunlop, Dutt J. Thakkar, Raul Candanedo, Srinath Jayan, Pooja Gupta, et al. Last Mile Delivery and Route Planning for Freight. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317315.

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This report analyzes anticipated list mile challenges in Indiana by using a scenario-based approach to develop forecasts of GDP growth and thus freight growth across industry clusters in Indiana counties; potential congestion implied by this growth; and a proactive plan to add capacity to alleviate the congestion. We use a quantitative approach to aggregate ramp level flows, industry cluster locations, county layout, and economic activity to develop our recommendations. We develop forecasts through the year 2050 based on long-term planning approaches used by other states (California, Ohio, and Utah). We use data from global databases that consider different possible geo-political scenarios and regulatory choices to scale it down to county-level impact. At the same time, we track industry cluster locations within each county, ramps from interstates, and distances to travel within the counties to reach freight destinations. The result is a report that combines macro trends with micro detail to develop potential capacity bottlenecks.
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Iyer, Ananth V., Konstantina Gkritza, Steven R. Dunlop, Dutt J. Thakkar, Raul Candanedo, Srinath Jayan, Pooja Gupta, et al. Last Mile Delivery and Route Planning for Freight. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317315.

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This report analyzes anticipated list mile challenges in Indiana by using a scenario-based approach to develop forecasts of GDP growth and thus freight growth across industry clusters in Indiana counties; potential congestion implied by this growth; and a proactive plan to add capacity to alleviate the congestion. We use a quantitative approach to aggregate ramp level flows, industry cluster locations, county layout, and economic activity to develop our recommendations. We develop forecasts through the year 2050 based on long-term planning approaches used by other states (California, Ohio, and Utah). We use data from global databases that consider different possible geo-political scenarios and regulatory choices to scale it down to county-level impact. At the same time, we track industry cluster locations within each county, ramps from interstates, and distances to travel within the counties to reach freight destinations. The result is a report that combines macro trends with micro detail to develop potential capacity bottlenecks.
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Desa, Hazry, Muhammad Azizi Azizan, Zainudin Hat, Muhammad Safwan Suhaimi, and Noor Zulaiha Ramli. ASSESSING THE ACCURACY AND RELIABILITY OF UNMANNED AERIAL VEHICLE (UAV) SURVEY DATA FOR ROAD PROFILE TESTING: A COMPARATIVE STUDY WITH LAND SURVEY. Penerbit Universiti Malaysia Perlis, 2023. http://dx.doi.org/10.58915/techrpt2023.005.

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This feasibility study report outlines the research findings and recommendations for implementing the use of Unmanned Aerial Systems (UAS) for route surveying. The study was conducted with the support of IP Fokus Sdn. Bhd. research grant to determine the feasibility of UAS as an alternative solution for the route surveying process. The primary objective of this study is to evaluate the potential of UAS in improving the efficiency and accuracy of route surveying tasks. To achieve this objective, we conducted a comprehensive literature review on the current practices and technologies used in route surveying. The report provides an overview of the research methodology, data analysis, and findings. The recommendations presented in this report are based on a thorough evaluation of the data collected and analysis conducted. The findings of this study provide valuable insights into the potential benefits of using UAVs in route surveying and highlight some of the challenges and limitations that need to be addressed.
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Kawai, Mayumi, Shin Kato, Naoko Minobe, and Sadayuki Tsugawa. Driver-Adaptive Display for Car Navigation Systems Based on Individual Driver Differences in Route Recognition and Map Preference. Warrendale, PA: SAE International, September 2005. http://dx.doi.org/10.4271/2005-08-0457.

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Mwamba, Isaiah C., Mohamadali Morshedi, Suyash Padhye, Amir Davatgari, Soojin Yoon, Samuel Labi, and Makarand Hastak. Synthesis Study of Best Practices for Mapping and Coordinating Detours for Maintenance of Traffic (MOT) and Risk Assessment for Duration of Traffic Control Activities. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317344.

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Maintenance of traffic (MOT) during construction periods is critical to the success of project delivery and the overall mission of transportation agencies. MOT plans may include full road closures and coordination of detours near construction areas. Various state DOTs have designed their own manuals for detour mapping and coordination. However, very limited information is provided to select optimal detour routes. Moreover, closures or detours should provide not only measurable consequences, such as vehicle operating costs and added travel time, but also various unforeseen qualitative impacts, such as business impacts and inconvenience to local communities. Since the qualitative aspects are not easily measurable they tend to be neglected in systematic evaluations and decision-making processes. In this study, the current practices obtained based on an extensive literature review, a nation-wide survey, as well as a series of interviews with INDOT and other state DOTs are leveraged to (1) identify a comprehensive set of Key Performance Indicators (KPIs) for detour route mapping, (2) understand how other state DOTs address the qualitative criteria, (3) identify how the involved risks during the planning, service time, and closure of the detour routes are managed, and (4) recommend process improvements for INDOT detour mapping guidelines. As demonstrated by two sample case studies, the proposed KPIs can be taken as a basis for developing a decision-support tool that enables decision-makers to consider both qualitative and quantitative aspects for optimal detour route mapping. In addition, the current INDOT detour policy can be updated based on the proposed process improvements.
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Mathew, Jijo K., Haydn Malackowski, Yerassyl Koshan, Christopher Gartner, Jairaj Desai, Howell Li, Edward Cox, Ayman Habib, and Darcy M. Bullock. Development of Latitude/Longitude (and Route/Milepost) Model for Positioning Traffic Management Cameras. Purdue University, 2024. http://dx.doi.org/10.5703/1288284317720.

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Traffic Incident Management (TIM) is a FHWA Every Day Counts initiative with the objective of reducing secondary crashes, improving travel reliability, and ensuring the safety of responders. Agency roadside cameras play a critical role in TIM by helping dispatchers quickly identify the precise location of incidents when receiving reports from motorists with varying levels of spatial accuracy. Reconciling position reports that are often mile-marker based with cameras that operate in a Pan-Tilt-Zoom (PTZ) coordinate system relies on dispatchers having detailed knowledge of hundreds of cameras and perhaps some presets. During real-time incident dispatching, reducing the time it takes to identify the most relevant cameras and view the incident improves incident management dispatch times. This research developed a camera-to-mile marker mapping technique that automatically sets the camera view to a specified mile marker within the field-of-view of the camera. A new performance metric on verification time (TEYE) that captures the time it takes for TMC operators to have the first visual on roadside cameras is proposed for integration into the FHWA TIM event sequence. Performance metrics that summarize spatial camera coverage and image quality for use in both dispatch and long-term statewide planning for camera deployments were also developed. Using mobile mapping and LiDAR geospatial data to automate the mapping of mile markers to camera PTZ settings, and the integration of connected vehicle trajectory data to detect incidents and set the nearest camera view on the incident are both discussed for future studies.
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Day, Christopher M., Howell Li, Sarah M. L. Hubbard, and Darcy M. Bullock. Observations of Trip Generation, Route Choice, and Trip Chaining with Private-Sector Probe Vehicle GPS Data. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317368.

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This paper presents an exploratory study of GPS data from a private-sector data provider for analysis of trip generation, route choice, and trip chaining. The study focuses on travel to and from the Indianapolis International Airport. GPS data consisting of nearly 1 billion waypoints for 12 million trips collected over a 6-week period in the state of Indiana. Within this data, there were approximately 10,000 trip records indicating travel to facilities associated with the Indianapolis airport. The analysis is based the matching of waypoints to geographic areas that define the extents of roadways and various destinations. A regional analysis of trip ends finds that travel demand for passenger services at the airport extends across a region spanning about 950 km. Local travel between land uses near the airport is examined by generation of an origin-destination matrix, and route choice between the airport and downtown Indianapolis is studied. Finally, the individual trips are scanned to identify trip chaining behavior. Several observations are made regarding these dynamics from the data. There is some sample bias (types of vehicles) and opportunities to further refine some of the land use definitions, but the study results suggest this type of data will provide a new frontier for characterizing travel demand patterns at a variety of scales.
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Trotter, G. Terminology for Forwarding Information Base (FIB) based Router Performance. RFC Editor, December 2001. http://dx.doi.org/10.17487/rfc3222.

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